OPEN TO BACKEND & AI INFRA ROLES

Hi, I'm Kaushik 👋

I'm a backend & distributed systems engineer and MSc Computer Science student at the University of Illinois Chicago, focused on building high-performance systems that hold up at real-world scale.

Currently building AI infrastructure and LLM serving systems. Previously an AI Research Fellow at Apart Research and an AI Development Intern at AmberFlux EdgeAI.

Resume Email GitHub LinkedIn
kaushik@portfolio
$ whoami
roleBackend & AI Infrastructure Engineer
$ cat stack.txt
Python · FastAPI · gRPC · PostgreSQL · Redis · Docker · AWS
$ location --current
Chicago, IL
$ status

Latest posts

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Selected projects

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SmartCal

An advanced scheduling platform similar to Calendly but enhanced with natural language processing capabilities.

Next.jsPrismaPostgreSQLGemini

K2-Chat

↗ live code

A serverless, edge-distributed, multimodal AI chat platform with RAG and a distributed document-processing pipeline.

Next.jsCloudflare WorkersAWS CDKDynamoDB

sd-tracker

↗ live

A study log and streak tracker for system design prep: the LeetCode heatmap and accountability aid, for the part of interview prep that doesn't have one.

Next.jsFirebaseFirestoreTailwind

ClockWise

↗ live code

A minimalist Pomodoro timer that tracks where your focus time actually goes, synced across devices.

ReactTypeScriptFirebaseFirestore

Work experience

full history →
  • 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

Let's connect

Open to backend, distributed systems, and AI infrastructure roles, plus interesting research collaborations. The fastest way to reach me is email — I read everything.

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