My Resume
Summary
MS Computer Science student at Arizona State University with 2+ years of experience building backend systems, ETL platforms, and data pipelines for enterprise clients. Focused on legacy system modernization, SQL workflow automation, and applied AI agents.
Experience
Arizona State University
| AI Researcher (Prof. Hua Wei)
Jun 2026 – Present
- Built a textbook-grounding pipeline for an LLM multi-agent course generator, writing each lecture slide from retrieved source evidence instead of model memory to eliminate hallucinated facts in generated teaching material.
- Engineered the end-to-end Python ingestion + retrieval stack — pymupdf4llm parsing, GPT-4o-mini vision to convert scanned equations into LaTeX, and hybrid BM25 + dense embedding search with rank fusion — recovering 246 equations from a single 740-page textbook.
- Designed a Grounding Fidelity metric that scores every generated claim against its cited source, reaching 88% source-supported claims across a full 14-chapter generated course.
- Hardened the pipeline with a 757-test suite covering parsing, retrieval, and grounding so each chapter regenerates reproducibly as source material changes.
Arizona State University
| Volunteer Instructional Assistant (Prof. Ayca Tuzmen)
Jun 2026
- Assisted Prof. Ayca Tuzmen in delivering the FSE 100 Barrett Summer Scholars engineering camp, mentoring 40+ high-school students across all hands-on sessions.
- Guided students through Python and Raspberry Pi labs, troubleshooting hardware wiring and software bugs in real time to keep teams unblocked.
- Supported students from first lines of code to a working build, reinforcing debugging habits and core engineering problem-solving throughout the camp.
ZS Associates
| Software Engineer
Sep 2023 – Jun 2025
- Modernized a 15-year legacy ETL platform used by 100+ enterprise clients, building scalable workflows with React, Node.js, MySQL, and PostgreSQL.
- Onboarded 10+ enterprise clients from configuration to live production, accelerating adoption by 3x through platform generalization, client demos, and deployment support.
- Reduced manual data processing effort by 40%+ by implementing reusable SQL-based ETL logic, stored procedures, validation scripts, and automated reporting workflows.
- Accelerated release cycles by 2x and reduced deployment issues by integrating CI/CD pipelines for ETL workflows.
Dreadnought
| Software Engineer Intern
Jun 2022 – Aug 2022
- Delivered 15+ client applications by building production-ready frontend systems, reusable UI components, and client-facing product workflows.
- Reduced client time-to-launch by 50% by handling deployment, domain setup, Cloudflare configuration, and AWS EC2 hosting.
Andwemet Pvt Ltd
| Full-Stack Developer Intern
Jun 2021 – Oct 2021
- Scaled platform adoption to 2000+ users by launching a new MERN-stack feature and improving user engagement workflows.
- Improved onboarding conversion by 25% by building intuitive frontend flows and backend APIs for user interactions.
Projects
Ghosty
| Kiro Spark Challenge Best Collab Winner
2026
- Built an AI-powered conference companion that helps students and professionals convert networking conversations into referrals, interviews, mentorship, and job opportunities.
- Implemented voice-first capture using OpenAI Whisper for transcription and Claude API for extracting contacts, opportunities, follow-ups, and outreach drafts.
- Designed connection value scoring, QR Quick Add, relationship search, and AI-generated LinkedIn/email follow-ups using React Native, Expo, TypeScript, Supabase, and Deno edge functions.
Agent Nomad
| VillageHacks Bonus Hack Winner
2026
- Built a belief-aware AI agent marketplace where agents bid on tasks based on confidence, improving task routing quality using ThinkN.
- Integrated Claude, Tavily, AutoDB, and Postgres to support real-time research, reasoning workflows, and natural-language queries over live marketplace data.
Education
Arizona State University
| Master of Science in Computer Science
Aug 2025 – May 2027
GPA: 4.11/4.00
Maharaja Agrasen Institute of Technology
| Bachelor of Technology in Computer Science & Engineering
Aug 2019 – Jul 2023
GPA: 3.70/4.00