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Resume

Mohammed Usmani

AI & ML Engineer who has shipped 15+ production AI systems across sales, accounting and workspace products — agentic tool-calling, RAG and retrieval engineering, realtime voice, and the multi-tenant backends behind them. Experienced with FastAPI, LangGraph, Qdrant/pgvector, OpenAI/Anthropic/Gemini, Deepgram, and deployment on GCP/AWS/DigitalOcean. Seeking AI/ML or backend engineer roles at product-focused startups.

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mohammedusmani2005@gmail.com+91 86899 08731mohammedusmani.meLinkedInGitHubBengaluru, India

Experience

AI & ML Engineer

– Present

Garage (Gravitichain Technology Group Pvt. Ltd.)

Bengaluru, India

  • Built the AI layer of NetworkChains — an agentic sales copilot (5-round tool loop; a 7-layer prompt stack cut worst-case input from ~96K to ~2K tokens/turn), a realtime call assistant (dual-stream 48→16 kHz PCM16, one Deepgram socket per source giving speaker attribution without a diarization model), a relationship graph and conversational image editing — over 6 purpose-scoped Qdrant collections using contextual retrieval, HyDE, reciprocal-rank fusion and LLM rerank.
  • Built the AI layer of Garage (workspace + commerce) — a provider-agnostic assistant normalising OpenAI/Anthropic/Gemini tool schemas, video and PDF Q&A, and a crash-recoverable LiveKit note-taker with adaptive map-reduce summarization (single gpt-4o pass under a 15K-token budget, else gpt-4o-mini chunks merged by gpt-4o) plus transcript preprocessing cutting 20–40% of input tokens.
  • Turned OpenClaw, an open-source single-user CLI agent runtime, into a multi-tenant service across both products: 2 FastAPI orchestration backends, per-user/per-org agent assignment with proxy-level RBAC, a custom 265-tool TypeScript extension spanning 57 integrations and 36 OAuth providers (Fernet-encrypted), a 40-tool MCP server, and WebSocket JSON-RPC with an Ed25519 device handshake.
  • Shipped supporting AI services — voice-cloned dubbing across 20 languages, highlight clip extraction, ad-video generation, and a Voxtral STT/TTS telephony plugin at ~20× lower cost than Whisper; deployed via Docker + GitHub Actions on GCP and DigitalOcean.

Projects

FS Preparation Agent

— Financial Statement Engine
  • Python
  • FastAPI
  • Azure OpenAI
  • pgvector
  • ~89K-LOC engine converting trial balances and prior-year filings into complete financial statements under IFRS/Ind AS/TFRS. Designed a Cross-Reference Graph (9 node kinds, 6 edge kinds, provenance on every edge) where links are made by deterministic resolvers and confirmed by arithmetic tie-out — the LLM only extracts and points at cells, so it can never hallucinate a passing reconciliation. Three-tier page router as an explicit cost gate; 8-agent roundtable with human-in-the-loop approval gates.

Luca (ICAI CA-GPT)

— AI Accounting PlatformLive
  • TypeScript
  • React
  • Express
  • PostgreSQL
  • ~199K-LOC platform for Indian Chartered Accountants — health-scored fallback routing across 5 LLM providers (Anthropic, OpenAI, Gemini, Azure, Perplexity), pgvector RAG, 11 chat modes, 10 India statutory-compliance modules (GST reconciliation, AOC-4/MCA, fixed-asset registers, FEMA/15CA-CB) and a 106-table schema.

EyesAI

— Autonomous Android Accessibility Agent
  • Kotlin
  • FastAPI
  • Vertex AI
  • TensorFlow Lite
  • FAISS
  • Autonomous Planner–Executor–Verifier agent controlling Android end-to-end via AccessibilityService at 87% task completion; dual-pipeline object detection at 88.2% accuracy / 151ms latency; hybrid multilingual voice commands (English/Hindi/Hinglish) at 94% accuracy combining Levenshtein static matching with Gemini function-calling fallback.

Technical Skills

AI & Agents
  • Agentic tool-calling ·
  • RAG ·
  • hybrid retrieval (RRF, HyDE, rerank) ·
  • LangGraph ·
  • LangChain ·
  • MCP ·
  • OpenAI ·
  • Anthropic Claude ·
  • Gemini ·
  • Vertex AI ·
  • Qdrant ·
  • pgvector ·
  • FAISS ·
  • Deepgram ·
  • Voxtral ·
  • Pipecat ·
  • LiveKit
Backend
  • Python (FastAPI) ·
  • TypeScript (Node.js, Express, NestJS) ·
  • Celery ·
  • BullMQ ·
  • WebSockets ·
  • REST ·
  • GraphQL ·
  • MCP ·
  • SSE
Databases
  • PostgreSQL ·
  • MongoDB ·
  • Redis ·
  • Supabase ·
  • Neo4j
DevOps
  • Docker ·
  • GitHub Actions ·
  • Nginx ·
  • AWS EC2/S3/Route53 ·
  • GCP ·
  • DigitalOcean ·
  • Railway ·
  • Linux ·
  • CI/CD
Frontend
  • React 18 ·
  • Next.js 15 ·
  • TailwindCSS

Education

Viva Institute of Technology

Mumbai, India

B.E. Computer Science (AIML) | CGPA: 8.0

Achievements

  • Top 17 Nationally — AI For Good Hackathon, Blend360

  • 3rd Prize, Codeathon — Vidyavardhini College of Engineering

  • 3rd Prize — GNEC International Hackathon – Global NGO Executive Community

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