Work

  • Jul 2024 - Feb 2025
    Apart Research
    AI Research Fellow

    Research fellowship focused on distributed LLM training infrastructure and dataset tooling.

    • Engineered distributed training pipelines for Llama 3 models using PyTorch and Unsloth
    • Optimized GPU memory allocation to reduce training latency by 40%
    • Designed end-to-end ETL pipelines to aggregate, format, and serialize large-scale datasets into structured JSON for direct LLM fine-tuning
    • Saved ~20 developer hours per iteration cycle through pipeline automation
  • Jan 2024 - Jul 2024
    AmberFlux EdgeAI
    AI Development Intern

    Built serverless generative AI applications and evaluated agentic workflow costs for enterprise adoption.

    • Engineered serverless full-stack Generative AI applications on Snowflake Data Cloud
    • Optimized prompt context windows and prompt caching, cutting token processing time and delivering 40% lower latency generative responses
    • Evaluated operational costs and scalability of 7+ agentic AI workflows (AutoGen, CrewAI)
    • Delivered a company-wide dashboard adopted by senior executives that drove resource allocation decisions
    • Revealed a 150% cost premium of agentic workflows over local developer interns
  • May 2023 - Jul 2023
    Zbyte
    Software Development Intern

    Backend microservices work on a Web3 digital asset distribution platform.

    • Developed high-performance backend microservices using async query processing and caching
    • Optimized RESTful API response times by 45%
    • Ensured secure ledger integrity for over 10,000 daily transactions
    • Established a comprehensive CI/CD testing strategy with automated unit and integration tests in HardHat
    • Achieved 95% code coverage prior to public production release
Back to top