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Software Engineer

Vlad Pisotskyi

Full-stack engineer specializing in AI — I build RAG chat systems, streaming LLM interfaces, and evaluation pipelines that ship to production.

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Selected Work

  • CTD RAG Chatbot

    Retrieval-augmented generation pipeline for clinical trial documentation. Improved retrieval precision by 60% and increased observability by 40% through LLM-as-a-Judge evaluation infrastructure.

    • Next.js
    • TypeScript
    • MongoDB
    • Langfuse
    • LangChain
    • OpenAI
    Case study

  • 2nd Place, MetLife Hackathon 2025

    Chef Jul

    AI-powered meal planner with personalized nutrition intelligence built in 48 hours. Parallelized LLM pipeline cut processing time by 40%; multi-agent workflow enables ~2s preference adjustments.

    • Firebase
    • React
    • Node.js
    • LLM Orchestration
    Case studyLive

  • This Portfolio

    A recruiter-facing portfolio built with an agentic engineering workflow. Engineering values — TDD-first, error-before-happy-path, accessibility, CI gates — illustrated through the code itself.

    • Next.js 16
    • TypeScript
    • Tailwind v4
    • Vitest
    • Playwright
    • GitHub Actions
    Case study

About

I focus on writing performant, maintainable, production-ready code and shipping systems that hold up under real-world use. At Code the Dream I work on an AI-powered benefits chatbot built on Retrieval-Augmented Generation, where I own evaluation infrastructure end to end — from LLM-as-a-Judge scoring pipelines and Langfuse observability to the streaming chat interfaces users actually see.

Resume

Education

  • React, Node.js, Python and Advanced Practicum

    Code the Dream · 2024

  • Software Engineer Immersive Program

    Hack Reactor · 2018

Location

San Francisco, CA