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abhinavchalise/README.md

Abhinav Chalise

LinkedIn Email

CS grad from CU Boulder building end to end software, from bare-metal firmware to production web apps.

Open to SWE roles

What I do

  • Full-stack web apps and backend services
  • On-device and applied machine learning
  • Bare-metal firmware and low-level systems

Languages & tools

Languages: C, C++, C#, Java, Python, SQL, TypeScript, SystemVerilog, JCL

Tools: React, Next.js, Flask, FastAPI, Spring Boot, Kafka, PostgreSQL, Docker, PyTorch, Hugging Face, STM32

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  1. Emberwatch Emberwatch Public

    Kafka-based safety platform that monitors a 3D-printer enclosure, detects thermal/air-quality anomalies, and controls an exhaust fan closed-loop

    Java

  2. SCORE SCORE Public

    LLM-driven adaptive audio engine with real-time binaural beat synthesis tuned for focus and meditation. Fully local, zero cloud dependencies.

    Python

  3. AI_Mancala AI_Mancala Public

    Browser-based Mancala built in React. Features a custom AI engine utilizing alpha-beta pruning up to depth 10, running entirely client-side with zero backend.

    Jupyter Notebook

  4. STM32_Battleship STM32_Battleship Public

    Bare-metal Battleship on the STM32F429i Discovery board. Hunt-and-target AI, two-player pass-and-play with a privacy handoff, and Flash-persisted stats. No OS, no heap in game logic, paced by a 10 …

    C 1