Full Stack Engineer

Arvind Sudarshan

408-***-**** **********@*******.*** linkedin.com/in/arvind2848b41b5/ github.com/xf4c70r San Francisco, CA US Permanent Resident (Green Card) No Sponsorship Required Skills

Languages: Python, JavaScript, TypeScript, C++

Web: React, HTML, CSS, Django, Flask, REST APIs, OAuth 2.0, JWT Databases: PostgreSQL, MongoDB, MySQL

DevOps & Tools: Docker, GitHub Actions, AWS, GCP, CI/CD, Git, Selenium AI/ML: PyTorch, RAG, Pinecone, FAISS, HuggingFace Transformers, Vector Similarity Search, LangChain Experience

Software Engineer Center for Hardware and Embedded System Security and Trust (ASEEC Lab) Davis, CA Aug 2024 – Present

• Configured GitHub Actions CI/CD pipeline and pre-commit checks to standardize the lab’s development workflow.

• Built and deployed a containerized LLM inference service using Docker to support researcher workflows.

• Developed automated pipelines that validated, processed and converted 10,000 samples from GitHub, HuggingFace, and frontier AI models (OpenAI, Anthropic, DeepSeek) into structured datasets for model training.

• Implemented LLM based hardware test pattern generation, achieving 15% improvement in structured code generation and compilation success rate from 20% to 60%.

• Co-authored two peer-reviewed publications on ML-driven hardware fuzzing (ISQED 2025) and Benchmarking LLMs for low-power RTL design (MLCAD 2025).

Full Stack Developer ME / SA Dept., UC Davis Davis, CA Jan 2025 – Jun 2025

• Built a full-stack language learning platform using React.js, Django, and MongoDB, deployed on GCP and serving 50+ students in UC Davis Hindi classes.

• Integrated OpenAI LLM API to power AI-generated question/answer pairs, glossaries, and automated practice and evaluation for learners.

• Designed and implemented secure JWT authentication and RESTful APIs; developed an automated pipeline using the YouTube Data API to generate and curate a Hindi Q&A dataset. Software Developer Artificial Intelligence Accountability & Explainability (AIEA) Lab Santa Cruz, CA Aug 2024 – Sep 2025

• Deployed and maintained a full-stack web application on AWS EC2, managing end-to-end delivery from development to production.

• Developed the application using React, Flask, and MongoDB, building RESTful APIs to support a researcher-facing chat interface.

• Engineered RAG pipelines integrating OpenAI + Pinecone, processing a document corpus with over 20,000 Q&A pairs using chunked vector embeddings to ground LLM responses in verified sources.

• Validated pipeline performance using G-Eval and RAGAS, achieving a 30% reduction in hallucination over baseline. Full Stack Developer Elite Softwares Pune, India Sep 2021 – Nov 2021

• Built a full-stack CRM web application using React, Flask, and PostgreSQL, replacing a manual Excel-based workflow for a delivery business.

• Designed the database schema from scratch and built RESTful APIs with JWT authentication to manage customers, deliveries, drivers, and complaints.

• Optimized SQL queries reducing data retrieval times by 35%; implemented automated test suites with PyTest achieving 70% test coverage.

Projects

StockSense (huggingface.co/ECS289L/Stocksense-Plus-All) Python, PyTorch, Streamlit, Ollama, LangChain, Llama3-8B, Mistral-7B

• Built a local financial analysis tool using Llama3, LangChain, and HuggingFace that analyzes and predicts stock trends from historical data.

• Finetuned Llama3-8B achieving 19% improvement in trend prediction and 28% improvement in sentiment analysis over baseline models.

• Deployed a Streamlit chat interface for querying stock insights locally and published the model on HuggingFace. Gameboi (github.com/xf4c70r/GameBoi) Python, PyTorch, Diffusion Models, GPT-4, AI Agents

• Built an open-source generative AI tool leveraging GPT-4, DALL-E, and PyGame to create customized 2D games from user prompts, automating sprite generation, asset creation, and PyGame logic.

• Gained 7 stars and multiple external contributions on GitHub within the first week of open sourcing. Education

University of California, Davis GPA: 3.93

Masters of Science in Computer Science Mar 2026

Pune University GPA: 3.90

Bachelor of Engineering in Computer Engineering May 2023

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