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rajfirke/README.md

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Raj Firke

Software Engineer (AI) at Red Hat · AI Researcher · Open Source Contributor · Mentor

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About

I work at the intersection of DevOps and AI — building platforms that bring machine learning from prototype to production. At Red Hat, I focus on AI integration, infrastructure automation, research in applied AI, and enabling teams to ship ML workloads reliably.

Outside work, I contribute to open source ML infrastructure (PyTorch, vLLM), publish research on recommendation systems and conversational AI, and hold patents in AI personalization. I also mentor junior engineers — helping them navigate open source, system design, and career growth.

Research & Patents

Patents

  • System and Method for Utilizing Digital Footprints of a User to Generate Conversational AI Thereof 202421048008 · Filed Jun 2024 · Granted (20-year term)

  • Recommendation and Intent Reconciliation in a Virtual Leader Framework 202521025963 · Filed Apr 2025 · Under review

Publication

  • A Survey on Advanced Recommendation Systems: Content-Based Filtering, Collaborative Filtering, Hybrid and Opinion Mining Approaches Springer Nature Singapore · Apr 2025

Open Source Contributions

PyTorch — Deep Learning Framework

Active contributor working on core framework improvements:

  • Input validation & safety — Adding proper bounds checking to prevent silent failures in max_pool3d, channel_shuffle, RNN cells, and convolution ops
  • Optimizer improvements — maximize parameter for LBFGS, integer step tensor support in foreach optimizers
  • Numerical stability — Fixing NaN propagation in lp_pool, hardtanh backward pass corrections
  • API enhancements — keepdim for cosine_similarity, NanDetectMode for forward-pass diagnostics, dtype context manager

vLLM — LLM Inference Engine

Contributing to the high-throughput LLM serving engine:

  • Responses API — Namespace tools support for harmony/GPT-OSS models

Featured Projects

Project Description Stack
provena Context governance for agentic AI — tamper-evident audit trails, provenance validation, EU AI Act compliance Python, PostgreSQL, MCP, Policy Engine
sumo-logic-mcp MCP server for Sumo Logic with 48 tools — log search, monitors, alerts, dashboards, metrics Python, MCP Protocol
repo-time-machine Agentic RAG for codebases — ask questions answered by code, git history, issues & PRs Python, FAISS, Ollama

Tech Stack

Languages

Python C++ Bash SQL

ML & AI

PyTorch vLLM CUDA FAISS NumPy

Infrastructure & DevOps

Kubernetes OpenShift Docker Linux Git

Databases & Tools

PostgreSQL MongoDB GitHub Actions

GitHub Stats

GitHub Stats Streak Stats

Random Dev Quote

Currently contributing to PyTorch and vLLM — building the infrastructure that powers the next generation of AI.

Pinned Loading

  1. provena provena Public

    Context governance for agentic AI — tamper-evident audit trails, provenance validation, EU AI Act compliance. 6 framework adapters, MCP server, PostgreSQL, policy engine.

    Python 14 31

  2. pytorch/pytorch pytorch/pytorch Public

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 103k 29.1k

  3. loop-eng/loopguard loop-eng/loopguard Public

    Circuit breaker daemon for AI agent loops

    Go

  4. Smart-India-Hackathon-2022 Smart-India-Hackathon-2022 Public

    Smart India Hackathon 2022 project submission

    HTML 4

  5. repo-time-machine repo-time-machine Public

    Agentic RAG for codebases — ask questions answered by code, git history, issues & PRs. Uses FAISS, sentence-transformers, Ollama. 100% local, free, open source.

    Python 1

  6. crypto-volatility crypto-volatility Public

    Real-time 1-minute candle volatility scanner for all Binance USDT spot pairs. Built for scalp trading.

    JavaScript 1