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Working and learning
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Working and learning
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Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLOAchievement: Pair Extraordinaire

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jeevesh2515/README.md

Jeevesh Singale

AI Engineer | Voice AI Systems & Agentic Orchestration

Building Low-Latency Voice Agents, Enterprise RAG Platforms, & Safe Agentic DAGs.

London, UK  •  LinkedIn  •  Portfolio  •  Email


GitHub Stars Followers Profile Views License: MIT

🎙️ Flagship Agentic Architectures

⚡ VoxFlow Voice Agent

Bilingual Voice AI Agent for Modern Supply Chain & FMCG Operations.

  • Turn Latency: Sub-200ms glass-to-glass turn latency (Amazon Connect → Groq Whisper STT → Llama 3 70B → Edge TTS)
  • Streaming Stack: Raw PCM WebSockets + Silero VAD + Groq Whisper STT + Edge TTS
  • Stateful Tools: Live stock validation & dynamic PO dispatch with LangGraph

🏥 Clinical RAG Workflows

Evidence-based clinical assistant for chronic hypertension care.

  • Zero-Hallucination Spine: Knowledge stored as a Google OKF bundle for deterministic RAG
  • Safety Guardrails: Edge-level deterministic refusal & clinical calculators (eGFR, MAP)
  • Evaluation: 258 passing tests + LangSmith benchmark suite

🔍 ExpertIQ Copilot

Enterprise research intelligence & expert discovery platform.

  • Hybrid RAG: 6-node LangGraph pipeline over ChromaDB + NetworkX with HyDE
  • Interactive UI: Next.js 16 + React 19 + 3D force-directed D3 graph UI
  • Verification: 47 automated tests, Redis cache, and Docker deploy

🛡️ Readme Guardian

Documentation freshness & drift verification engine for AI repos.

  • Distribution: Packaged via custom Homebrew Tap (brew install)
  • Automation: Pre-commit hooks & CI drift verification
  • Test Suite: 15 passing pytest unit tests (100%) + Ruff compliance

🛠️ Technical Stack & AI Capabilities

Core AI & Agents   : LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen
Audio & Realtime   : Amazon Connect, Lex V2, Silero VAD, Groq Whisper, Edge TTS, WebSockets
RAG & Knowledge    : Hybrid (Dense + BM25), GraphRAG, LanceDB, ChromaDB, pgvector, NetworkX
Backend & Cloud    : Python 3.11+, FastAPI, AWS (Connect/Lambda), Docker, Supabase Postgres, Redis
Frontend & UI      : Next.js 16, React 19, TailwindCSS v4, Vite, D3.js, Web Audio Worklets
Safety & Evals     : LangSmith, Ragas, DeepEval, Deterministic Guardrails

📈 Activity & Contribution Velocity

GitHub Statistics My Programming Languages
Contribution Graph
Engineered by Jeevesh Singale • Open to AI Engineering & Agent Architecture roles in the UK

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  1. clinical-rag-agent clinical-rag-agent Public

    Evidence-based clinical workflow assistant with agentic RAG for hypertension care with LangGraph orchestration, hybrid retrieval, OKF knowledge spine, safety-first guardrails, and Vercel deployment.

    Python 5

  2. expertiq-copilot expertiq-copilot Public

    Expert Discovery & Research Intelligence Platform — RAG + LLM Agents + Knowledge Graph + Semantic Vector Search

    Python 1

  3. pre-push-verify pre-push-verify Public

    The Autonomous Security & Anti-Slop Firewall for AI Coding Agents. Stop API key leaks, eliminate LLM code bloat, and verify tests before push.

    Python 1

  4. readme-guardian readme-guardian Public

    Safely keep managed README facts current for AI-assisted projects.

    Python 1

  5. cortex cortex Public

    Building my second brain that will link to all my useful workflows

    Python 1

  6. Customer-CHURN-Prediction-and-Retention-Strategy Customer-CHURN-Prediction-and-Retention-Strategy Public

    Built a machine learning pipeline achieving 96% accuracy in predicting telecommunications customer churn using Random Forest algorithms. Leveraged SHAP and LIME for model interpretability, identify…

    Python 1