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Achievement: Pull SharkAchievement: Quickdraw

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SyN-droMe/README.md

Ayush Kuriakose Chacko

AI/ML Engineer: computer vision, predictive ML, and agentic workflows. B.Tech CS (VIT Chennai). Based in Bengaluru, open to relocation.

Recently wrapped up an apprenticeship at Mercedes-Benz R&D India, where I worked on computer vision, edge deployment, knowledge distillation, and gesture recognition on Jetson Orin. Open to AI/ML Engineer and Data Scientist roles. Currently contributing to open source.

Projects

  • shrinkwrap — drop-in Python wrapper that cuts LLM API cost via prompt caching, context summarization, and response caching. ~27% lower cost across Anthropic and AWS Bedrock
  • ScholarAI — RAG pipeline (LangChain + ChromaDB) for research-paper Q&A, with dual LLM backends (Gemini + local LLaMA via Ollama) behind a FastAPI + Streamlit interface.
  • Time Series Project — Forecasting heart-rate (BPM) from a live MAX30105 pulse-sensor stream during gameplay, using a pretrained PatchTST transformer — 86–88% accuracy vs. ground-truth moving-average BPM.

Stack

Python · PyTorch · TensorFlow · LangChain · scikit-learn · Docker · AWS · GCP

LinkedIn

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  1. emulsion emulsion Public

    An interactive map of 3,222 recipes. Route between dishes by what they are made of or how they are made.

    Python 2

  2. bulkhead bulkhead Public

    A tool-calling agent harness that keeps working when tools fail. Retries, timeouts, loop detection, and honest error reporting, benchmarked against injected failures.

    Python 4

  3. shrinkwrap shrinkwrap Public

    Compresses LLM prompts to cut token cost while preserving meaning, with measured before/after numbers rather than claims.

    Python 6

  4. ScholarAI ScholarAI Public

    A RAG pipeline that answers questions from a document corpus with grounded, citable answers.

    Python