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Master of Science in Data Science

• GPA 3.90
• Relevant Coursework: Machine Learning, NLP, Data Mining, Computer Vision, Cloud Computing

Bachelor of Technology in Computer Science and Engineering

Lead Graduate Research Specialist, LAiSER

• LLM Pipeline Scaling: Built and scaled LLM extraction pipelines across 1M+ records using vLLM; improved inference throughput 7x, cutting end-to-end processing time from 2 months to 8 days for empirical research workflows.
• LLM API Integration: Integrated Gemini API into LAiSER for multi-model evaluation workflows; designed abstraction layers to support rapid experimentation across different LLM providers.
• Retrieval Performance: Implemented FAISS-based semantic search and optimized retrieval, delivering a consistent 30% speed improvement for retrieval-augmented research workflows.
• Open-source Engineering: Primary maintainer of LAiSER GitHub organization (multiple repos) with a team of 7; drove architecture decisions, reusable libraries, and rapid iteration to support reproducible research. 2x winner of GW OSPO annual open-source student awards.
• Release Quality & DevSecOps: Led releases for 4+ major versions using GitHub Actions; added CodeQL and Dependabot for automated scanning and alerts; standardized Conventional Commits and Semantic Versioning for transparent collaboration.
• Research Communication: Worked with non-technical partners to explain design choices and trade-offs; supported over $1M in grant-backed research delivery with partners including the Walmart Foundation and the Gates Foundation, applying NIST AI RMF for risk management.

Software Engineer Intern, Data Science for Sustainable Development

• Web Platform Integration: Led a team of 5 to design and deploy a web-based analytics platform (Next.js, Flask) on AWS EC2 and S3, integrating data pipelines and APIs for collaborative research workflows.
• Workflow Automation: Built agentic workflows to generate insights and operational summaries, improving partner collaboration efficiency by 30%.

Full-Stack Engineer

• Product Systems: Built a cross-platform CRM from scratch to manage vendor transactions and inventory; added ML analytics to improve operational visibility and decision-making.
• Data & Geo Analytics: Managed geospatial data for 45,000+ farmers across 25,000+ regions (MongoDB, GeoJSON) to improve supply chain visibility and generate strategic insights.
• Backend Features: Delivered 5+ core features (invoice generation, RBAC, real-time auctions) supporting a 40% increase in vendor transactions in the first quarter.

Google Cloud Professional Cloud Architect

Reinforcement Learning for Pseudo-Labeling (Capstone Project)

• Model agnostic, custom RL environment for data annotation to outperform state-of-the-art semi-supervised techniques and enable reproducible evaluation.
• Tools: OpenAI Gymnasium, High Performance Compute (HPC), Tensorboard, PyTorch (torchvision)

Danger Detection with ML (GWU Open-Source Student Award, 2026)

• Built a real-time computer vision prototype to detect hazards at schools and public spaces; implemented instant alerts with captured visual evidence. Achieved 25 FPS mean throughput on edge CPU for low-latency IoT. Open-source on GitHub.
• Tools: Python, OpenCV, YOLOv3 (Darknet), NumPy, argparse, SMTP (email notifications)

Benchmarking Database Architectures for Network Analytics

• Reproducible Python benchmark of MySQL, MongoDB, and Neo4j on a synthetic road network dataset to deliver recommendations on which database performs best for each query type.
• Tools: Python, MySQL, MongoDB, Neo4j (graph algorithms), SQL recursive CTEs, MongoDB aggregation/lookup, psutil (performance monitoring), Faker

Global CO₂ Emissions Analysis Dashboard

• Built a dashboard analyzing 223 years of CO₂ data across countries, sectors, and income groups to identify relation between historical emissions and renewable adoption priorities.
• Tools: Tableau, Python, pandas, Plotly, Matplotlib

My Own Medic (Selected for United Nations Open-Source Week 2025)

• Designed an open-source architecture for a medical assistant using EHR records and LLMs to reduce documentation errors and improve clinical workflows. Open-source on GitHub.
• Tools: MySQL, PHP, Hugging Face API, HIPAA compliance

LAiSER (Journal of Open Source Software, under review)

• Technical paper submitted Oct. 2025; describes the LAiSER open-source system and emphasizes reproducible research software practices.
• Submission link

President, Google Developer Groups On-Campus at GWU

• Led 200+ student organization for AI/ML awareness via events and workshops; cohosted DevFestDC (900 attendees); cohosted DevFest Annapolis (300 attendees)

Chairperson of Relations, Data Science Association

• Cultivated relationships with C-suite executives and senior engineers for hosting events to provide career insights to 170 data science students

• GWU Open-Source Student Awards: Received award for open-source contributions (Danger Detection with ML)

• Build with AI - Startup Day: Organized a summit for 200 attendees featuring C-suite executives and senior engineers; delivered a session on the impact of open-source software on AI and business strategy

• DevFest Annapolis: Hosted a tech-talk and technical workshop on Model Context Protocol (MCP), Multi Agent Systems (MAS) and agent communication mechanisms for 100+ students and faculty

• DC Startup and Tech Week: Hosted a technical workshop for 60+ startup founders on building with AI, containers, and serverless deployments on Google Cloud

• Badge Summit at CU Boulder: Hosted a table talk with 50 leaders in higher-education research on skills and credentials

• GWU Open Source Conference: Delivered a keynote session on open-source software best practices

• GWU Open-Source Student Awards: Received 3rd prize for best open-source software