Make the plain page (public/resume.html) a generated declared mirror so it and
the terminal share one source, and enrich that source to the superset both need.
- resume.org: merged to the superset — richer achievement-oriented bullets,
per-item subtitle/location/tech tags, all projects (adds Terrapin Rocket,
Robotics@UMD) and the full course list.
- org-to-json parser: optional subtitle/location fields + `- tech :: X` tagged
bullets; `list` flag so education stays bullet-free; empty tag arrays dropped.
- scripts/build-resume-html.mjs + resume.template.html: the template owns the
design (unchanged look); content is rendered from resume.json. Adds a global
search box that filters every card and course pill across sections, with a
no-results empty state. HTML-escaped; arXiv ids linkified.
- resume:build now generates both mirrors; resume:check + CI canary verify both.
Verified: yarn build + tsc clean; both canaries green; driven headless — design
preserved, 17 cards render, search isolates by keyword/tech/course, no errors.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Nt6ycjAMdUMqGTGtbKocrs
<pclass="scholarships-title">Scholarships & Distinctions</p>
<ulclass="bullet-list">
<ulclass="bullet-list"><li>Angelo Bardasis Scholarship — Physics</li><li>John D. Gannon Scholarship — Computer Science</li><li>Dean's List — Every Semester</li></ul>
<li>Angelo Bardasis Scholarship (Physics)</li>
<li>John D. Gannon Scholarship (Computer Science)</li>
</ul>
</div>
</div>
</article>
</article>
</div>
</div>
@ -401,376 +438,248 @@
<sectionid="work">
<sectionid="work">
<h2class="section-title">Work Experience</h2>
<h2class="section-title">Work Experience</h2>
<articleclass="card">
<articleclass="card"data-search="researcher caar reu combinatorics, algorithms, and ai for real problems quics · university of maryland python galois numpy magma math sagemath designed novel fault-tolerant css quantum error-correcting codes for qudits inspired by quadratic residue codes. established code families with transversal clifford and t gate support through finite field and qec theory proofs. implemented parallel python tooling to validate self-orthogonality and distance properties across large search spaces.">
<divclass="card-header">
<divclass="card-header">
<div>
<div>
<h3class="card-title">Researcher · CAAR REU</h3>
<h3class="card-title">Researcher · CAAR REU</h3>
<pclass="card-subtitle">Combinatorics, Algorithms, and AI for Real Problems</p>
<pclass="card-subtitle">Combinatorics, Algorithms, and AI for Real Problems</p>
</div>
</div>
<divclass="card-meta">
<divclass="card-meta"><spanclass="meta-line">Jun 2025 – Aug 2025</span><spanclass="meta-line">QuICS · University of Maryland</span></div>
<spanclass="meta-line">Jun 2025 – Aug 2025</span>
</div>
<spanclass="meta-line">QuICS · University of Maryland</span>
<ulclass="bullet-list"><li>Designed novel fault-tolerant CSS quantum error-correcting codes for qudits inspired by quadratic residue codes.</li><li>Established code families with transversal Clifford and T gate support through finite field and QEC theory proofs.</li><li>Implemented parallel Python tooling to validate self-orthogonality and distance properties across large search spaces.</li></ul>
</div>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Galois</li>
<liclass="tag">NumPy</li>
<liclass="tag">Magma Math</li>
<liclass="tag">SageMath</li>
</ul>
<ulclass="bullet-list">
<li>Designed novel fault-tolerant CSS quantum error-correcting codes for qudits inspired by quadratic residue codes.</li>
<li>Established code families with transversal Clifford and T gate support through finite field and QEC theory proofs.</li>
<li>Implemented parallel Python tooling to validate self-orthogonality and distance properties across large search spaces.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="undergraduate researcher bright beams collective ireap research experience for undergraduates institute for research in electronics and applied physics mad-x elegant fusion 360 matlab ansys workbench built custom machine learning and gradient-based optimizers to derive design parameters for a planned beamline. ran accelerator simulations to analyze lattice stability and beam quality under varied operating configurations. produced animations of betatron motion for outreach presentations and technical discussions.">
<pclass="card-subtitle">IREAP Research Experience for Undergraduates</p>
<pclass="card-subtitle">IREAP Research Experience for Undergraduates</p>
</div>
</div>
<divclass="card-meta">
<divclass="card-meta"><spanclass="meta-line">Sep 2023 – Dec 2024</span><spanclass="meta-line">Institute for Research in Electronics and Applied Physics</span></div>
<spanclass="meta-line">Sep 2023 – Dec 2024</span>
</div>
<spanclass="meta-line">Institute for Research in Electronics and Applied Physics</span>
<ulclass="bullet-list"><li>Built custom machine learning and gradient-based optimizers to derive design parameters for a planned beamline.</li><li>Ran accelerator simulations to analyze lattice stability and beam quality under varied operating configurations.</li><li>Produced animations of betatron motion for outreach presentations and technical discussions.</li></ul>
</div>
<ulclass="tag-list">
<liclass="tag">MAD-X</li>
<liclass="tag">Elegant</li>
<liclass="tag">Fusion 360</li>
<liclass="tag">MATLAB</li>
<liclass="tag">Ansys Workbench</li>
</ul>
<ulclass="bullet-list">
<li>Built custom machine learning and gradient-based optimizers to derive design parameters for a planned beamline.</li>
<li>Ran accelerator simulations to analyze lattice stability and beam quality under varied operating configurations.</li>
<li>Produced animations of betatron motion for outreach presentations and technical discussions.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="software engineering intern jodo pay invoicing system automation javascript typescript google apps script automated invoice generation and dispatch for clients, reducing manual processing by 40 staff hours each week. integrated google workspace apis to manage templates, customer data, and error handling workflows.">
<ulclass="bullet-list"><li>Automated invoice generation and dispatch for clients, reducing manual processing by 40 staff hours each week.</li><li>Integrated Google Workspace APIs to manage templates, customer data, and error handling workflows.</li></ul>
<liclass="tag">TypeScript</li>
<liclass="tag">Google Apps Script</li>
</ul>
<ulclass="bullet-list">
<li>Automated invoice generation and dispatch for clients, reducing manual processing by 40 staff hours each week.</li>
<li>Integrated Google Workspace APIs to manage templates, customer data, and error handling workflows.</li>
</ul>
</article>
</article>
</section>
</section>
<sectionid="projects">
<sectionid="projects">
<h2class="section-title">Projects</h2>
<h2class="section-title">Projects</h2>
<articleclass="card">
<articleclass="card"data-search="quantum state tomography via qml github · github.com/mihir-null python qiskit aer mpi numba pytorch co-developed a variational circuit tomography approach, exploring loss landscapes, embedding strategies, and optimizers. executed 2,000+ experiments across multi-gpu clusters with a custom orchestrator for reproducible benchmarking. co-authored "quantum state reconstruction with variational quantum circuit" (arxiv:2507.01246).">
<divclass="card-header">
<divclass="card-header">
<div>
<div>
<h3class="card-title">Quantum State Tomography via QML</h3>
<h3class="card-title">Quantum State Tomography via QML</h3>
<ulclass="bullet-list"><li>Co-developed a variational circuit tomography approach, exploring loss landscapes, embedding strategies, and optimizers.</li><li>Executed 2,000+ experiments across multi-GPU clusters with a custom orchestrator for reproducible benchmarking.</li><li>Co-authored "Quantum state reconstruction with variational quantum circuit" (<ahref="https://arxiv.org/abs/2507.01246">arXiv:2507.01246</a>).</li></ul>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Qiskit</li>
<liclass="tag">Aer</li>
<liclass="tag">MPI</li>
<liclass="tag">Numba</li>
<liclass="tag">PyTorch</li>
</ul>
<ulclass="bullet-list">
<li>Co-developed a variational circuit tomography approach, exploring loss landscapes, embedding strategies, and optimizers.</li>
<li>Executed 2,000+ experiments across multi-GPU clusters with a custom orchestrator for reproducible benchmarking.</li>
<li>Co-authored <em>Quantum state reconstruction with variational quantum circuit</em> (arXiv:2507.01246).</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="mit iquhack — quera challenge honorable mention python qiskit cirq bloqade pytorch tensorflow quantum designed a compilation pipeline mapping diverse quantum circuits — including qaoa and steane codes — to quera hardware. optimized pulse sequences for neutral atom instruction sets, contributing to the team's honorable mention finish.">
<ulclass="bullet-list"><li>Designed a compilation pipeline mapping diverse quantum circuits — including QAOA and Steane codes — to QuEra hardware.</li><li>Optimized pulse sequences for neutral atom instruction sets, contributing to the team's honorable mention finish.</li></ul>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Qiskit</li>
<liclass="tag">Cirq</li>
<liclass="tag">Bloqade</li>
<liclass="tag">PyTorch</li>
<liclass="tag">TensorFlow Quantum</li>
</ul>
<ulclass="bullet-list">
<li>Designed a compilation pipeline mapping diverse quantum circuits—including QAOA and Steane codes—to QuEra hardware.</li>
<li>Optimized pulse sequences for neutral atom instruction sets, contributing to the team’s honorable mention finish.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="quantum machine learning research undergraduate research portfolio python qiskit cirq pennylane q# implemented quantum image processing with parameterized circuit kernels integrated into cnn architectures. created a hybrid transitional optimizer to mitigate barren plateaus in qaoa, presented at the fyire summit 2024.">
<ulclass="bullet-list"><li>Implemented quantum image processing with parameterized circuit kernels integrated into CNN architectures.</li><li>Created a hybrid transitional optimizer to mitigate barren plateaus in QAOA, presented at the FYIRE Summit 2024.</li></ul>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Qiskit</li>
<liclass="tag">Cirq</li>
<liclass="tag">PennyLane</li>
<liclass="tag">Q#</li>
</ul>
<ulclass="bullet-list">
<li>Implemented quantum image processing with parameterized circuit kernels integrated into CNN architectures.</li>
<li>Created a hybrid transitional optimizer to mitigate barren plateaus in QAOA, presented at the FYIRE Summit 2024.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="terrapin rocket team — kalman filters guidance, navigation, and control c c++ matlab developed six- and nine-state kalman filters fusing multi-sensor telemetry for rocket position estimation. supported the team's winning entry at the 2024 spaceport america cup.">
<divclass="card-header">
<divclass="card-header">
<div>
<div>
<h3class="card-title">Terrapin Rocket Team · Kalman Filters</h3>
<h3class="card-title">Terrapin Rocket Team — Kalman Filters</h3>
<pclass="card-subtitle">Guidance, Navigation, and Control</p>
<pclass="card-subtitle">Guidance, Navigation, and Control</p>
</div>
</div>
<divclass="card-meta">
<divclass="card-meta"><spanclass="meta-line">Aug 2023 – Jan 2024</span></div>
<ulclass="bullet-list"><li>Developed six- and nine-state Kalman filters fusing multi-sensor telemetry for rocket position estimation.</li><li>Supported the team's winning entry at the 2024 Spaceport America Cup.</li></ul>
<liclass="tag">C</li>
<liclass="tag">C++</li>
<liclass="tag">MATLAB</li>
</ul>
<ulclass="bullet-list">
<li>Developed six- and nine-state Kalman filters fusing multi-sensor telemetry for rocket position estimation.</li>
<li>Supported the team’s winning entry at the 2024 Spaceport America Cup.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="robotics @ umd — computer vision testudog automation python opencv scikit-learn developed haar cascade pipelines for the testudog robotics platform deployed on a jetson-powered boston dynamics spot.">
<ulclass="bullet-list"><li>Developed Haar cascade pipelines for the Testudog robotics platform deployed on a Jetson-powered Boston Dynamics Spot.</li></ul>
<liclass="tag">OpenCV</li>
<liclass="tag">scikit-learn</li>
</ul>
<ulclass="bullet-list">
<li>Developed Haar cascade pipelines for the Testudog robotics platform deployed on a Jetson-powered Boston Dynamics Spot.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="club administration automation workflow automation suite python selenium discord.py rest apis oauth 2.0 automated discord announcements, email campaigns, instagram publishing, and room reservations for university clubs. currently deployed across multiple organizations to streamline administrative overhead.">
<ulclass="bullet-list"><li>Automated Discord announcements, email campaigns, Instagram publishing, and room reservations for university clubs.</li><li>Currently deployed across multiple organizations to streamline administrative overhead.</li></ul>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Selenium</li>
<liclass="tag">Discord.py</li>
<liclass="tag">REST APIs</li>
<liclass="tag">OAuth 2.0</li>
</ul>
<ulclass="bullet-list">
<li>Automated Discord announcements, email campaigns, Instagram publishing, and room reservations for university clubs.</li>
<li>Currently deployed across multiple organizations to streamline administrative overhead.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="housing market analysis predictive pricing models python pandas scipy numpy scikit-learn sql trained feedforward neural networks for price prediction using engineered features derived from public listings and census data. applied pca and statistical analysis to identify high-signal attributes and reduce overfitting.">
<ulclass="bullet-list"><li>Trained feedforward neural networks for price prediction using engineered features derived from public listings and census data.</li><li>Applied PCA and statistical analysis to identify high-signal attributes and reduce overfitting.</li></ul>
<ulclass="tag-list">
<liclass="tag">Python</li>
<liclass="tag">Pandas</li>
<liclass="tag">SciPy</li>
<liclass="tag">NumPy</li>
<liclass="tag">scikit-learn</li>
<liclass="tag">SQL</li>
</ul>
<ulclass="bullet-list">
<li>Trained feedforward neural networks for price prediction using engineered features derived from public listings and census data.</li>
<li>Applied PCA and statistical analysis to identify high-signal attributes and reduce overfitting.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="independent game development national game jam winner c# c++ unity unreal engine blender adobe suite published two action platformers, including a custom 2d soft-body simulation available via two guys studios on itch.io. placed second in the 2021 mindbox national design championship; finalist in the 2020 edition. built a procedural map generation toolkit leveraging noise algorithms and custom pathfinding.">
<divclass="card-header">
<divclass="card-header">
<div>
<div>
<h3class="card-title">Independent Game Development</h3>
<h3class="card-title">Independent Game Development</h3>
<pclass="card-subtitle">National Game Jam Winner</p>
<pclass="card-subtitle">National Game Jam Winner</p>
<ulclass="bullet-list"><li>Published two action platformers, including a custom 2D soft-body simulation available via Two Guys Studios on itch.io.</li><li>Placed second in the 2021 Mindbox National Design Championship; finalist in the 2020 edition.</li><li>Built a procedural map generation toolkit leveraging noise algorithms and custom pathfinding.</li></ul>
<li>Authored and published an accessible introduction to special relativity covering time dilation through mass–energy equivalence.</li>
</ul>
</article>
</article>
</section>
</section>
<sectionid="organizations">
<sectionid="organizations">
<h2class="section-title">Organizations</h2>
<h2class="section-title">Organizations</h2>
<articleclass="card">
<articleclass="card"data-search="industry chair quantum coalition co-organized the qrise research competition with 200+ international participants. partnered with the un and itu to deliver the qc-fliq hackathon for the international year of quantum (500+ attendees).">
<ulclass="bullet-list"><li>Co-organized the QRISE research competition with 200+ international participants.</li><li>Partnered with the UN and ITU to deliver the QC-FLIQ hackathon for the International Year of Quantum (500+ attendees).</li></ul>
<li>Co-organized the QRISE research competition with 200+ international participants.</li>
<li>Partnered with the UN and ITU to deliver the QC-FLIQ hackathon for the International Year of Quantum (500+ attendees).</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="president undergraduate quantum association led organizational strategy, programming, and outreach after serving as an officer since 2020. produced the quantum leap career nexus with 240+ attendees and partners including ibm, microsoft, and ionq.">
<ulclass="bullet-list"><li>Led organizational strategy, programming, and outreach after serving as an officer since 2020.</li><li>Produced the Quantum Leap Career Nexus with 240+ attendees and partners including IBM, Microsoft, and IonQ.</li></ul>
<li>Led organizational strategy, programming, and outreach after serving as officer since 2020.</li>
<li>Produced the Quantum Leap Career Nexus with 240+ attendees and partners including IBM, Microsoft, and IonQ.</li>
</ul>
</article>
</article>
<articleclass="card">
<articleclass="card"data-search="co-president acm@umd restarted the university chapter, launched a new website, and grew membership beyond 145 students. led workshops focused on shell scripting, ai, quantum computing, and heuristic search techniques.">
<ulclass="bullet-list"><li>Restarted the university chapter, launched a new website, and grew membership beyond 145 students.</li><li>Led workshops focused on shell scripting, AI, quantum computing, and heuristic search techniques.</li></ul>
</article>
</section>
<sectionid="publications">
<h2class="section-title">Publications</h2>
<articleclass="card"data-search="quantum state reconstruction with variational quantum circuit preprint — arxiv:2507.01246 introduces a quantum machine learning approach to tomography for high-dimensional states. benchmarks loss landscapes, embedding strategies, and optimizer behavior across noise models. highlights scalability results enabled by custom experiment orchestration.">
<divclass="card-header">
<div>
<h3class="card-title">Quantum state reconstruction with variational quantum circuit</h3>
<ulclass="bullet-list"><li>Introduces a quantum machine learning approach to tomography for high-dimensional states.</li><li>Benchmarks loss landscapes, embedding strategies, and optimizer behavior across noise models.</li><li>Highlights scalability results enabled by custom experiment orchestration.</li></ul>
</article>
<articleclass="card"data-search="a very quick guide to special relativity published — 2021 authored and published an accessible primer covering time dilation through mass–energy equivalence. focused on first-principles explanations for students exploring modern physics.">
<divclass="card-header">
<div>
<h3class="card-title">A Very Quick Guide to Special Relativity</h3>
<pclass="card-subtitle">Published — 2021</p>
</div>
</div>
</div>
</div>
<ulclass="bullet-list">
<ulclass="bullet-list"><li>Authored and published an accessible primer covering time dilation through mass–energy equivalence.</li><li>Focused on first-principles explanations for students exploring modern physics.</li></ul>
<li>Restarted the university chapter, launched a new website, and grew membership beyond 145 students.</li>
<li>Led workshops focused on shell scripting, AI, quantum computing, and heuristic search techniques.</li>
Claude
3 months ago