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$ whoami

I'm Saud — an AI/ML engineer who likes hard, load-bearing problems: retrieval that can't hallucinate, risk engines that can't miss, vision that runs where there's no internet. Most of what's below started as a hackathon sprint and got hardened into a system — eval harness, ablations, latency budget and all.

  • 🧠 Applied AI — hybrid RAG (dense + sparse + cross-encoder rerankers), deterministic risk engines, agentic tool-calling
  • 👁️ Vision at the edge — TFLite / MobileFaceNet fully on-device, YOLOv8 in the loop
  • 🔩 The unglamorous parts — eval harnesses, ablation studies, property-based tests, offline reproducibility
  • 🛡️ Upstream OSS — memory-safety & validation patches merged into libheif and assimp, one in review at libavif
  • 🏆 NIRMAN 2026 Winner — CrackWatch, an AI infrastructure-damage command center (₹75K prize)
  • 🎓 B.Tech Computer Engineering ('27) · Thane, India · open to AI/ML roles & collabs

Data → Model → API → Interface — I own the whole pipe.


Animated terminal running Saud's systems

$ ls ./flagship-systems

Compound-risk intelligence for industrial safety. A deterministic engine fuses gas sensors, hot-work permits & CCTV into one risk score — LangGraph agents explain the decision, they never make it. Replayed against real disasters (Texas City '05, Jaipur '09), it fires minutes before any single sensor.

p50 ~50µs ~700k tags/s/core 100% recall

Python · FastAPI · LangGraph · NetworkX · YOLOv8 · Gemini

Plain English in → Bureau of Indian Standards codes out. Four-stage hybrid retrieval: FAISS (bge-m3) + BM25 → reciprocal-rank fusion → cross-encoder rerank, with a whitelist guard so it can't hallucinate a standard. Auto-clamps to available VRAM, all the way down to CPU.

Hit@3 100% MRR@5 0.93 sub-second latency offline-first

Python · FAISS · bge-m3 · BM25 · cross-encoder · FastAPI

Face recognition & liveness detection that works where the internet doesn't. MobileFaceNet on TensorFlow Lite, entirely on-device — built for remote sites with zero connectivity.

98.3% accuracy zero connectivity required on-device inference

React Native · TensorFlow Lite · MobileFaceNet

AI command center for civic infrastructure — detects and triages structural damage from imagery, then routes it like an ops platform. Took home NIRMAN 2026. Since rebuilt AI-native on the Lemma SDK → crackwatch-lemma.

NIRMAN 2026 Winner ₹75K prize

Vision AI · JavaScript · Lemma SDK

Real-time Q&A teleprompter: live voice capture → Groq Whisper transcription → Gemini answers, streamed to a glanceable overlay while you keep talking.

voice to answer real-time

Python · Groq Whisper · Gemini

sunpath-solar — an agentic AI solar sales rep that qualifies, quotes and books surveys via tool-calling with generative UI. sbi-saarthi — a multi-agent banking concierge, built for SBI Hackathon @ GFF 2026.

tool-calling generative UI multi-agent

TypeScript · Next.js · LLM orchestration

Also on the bench: FraudShield (fintech fraud detection) · trader-performance-vs-market-sentiment (211k-trade sentiment analysis) · ride-a-go (Flutter group-riding app) · WMS · more →



$ gh pr list --author @me

Security-hardening patches in C/C++ libraries that ship inside browsers, games and image pipelines:

PR What it hardens
merged strukturag/libheif #1840 Enforces security limits on icef unit allocation — no unbounded memory from crafted HEIF files
merged assimp/assimp #6705 Validates B3D chunk sizes against buffer & parent chunk — stops oversized allocations from malformed models
in review AOMediaCodec/libavif #3272 Adopts the __counted_by bounds-safety model on core data buffers

$ cat tech-stack.txt

AI & systems

Python, C++, PyTorch, TensorFlow, OpenCV, scikit-learn, FastAPI

Hugging Face FAISS LangGraph Gemini Groq Whisper pandas

Product & apps

TypeScript, JavaScript, React, Next.js, Tailwind, Node.js, Flutter, Dart, Supabase, Firebase

Tools

Git, GitHub, GitHub Actions, VS Code, Figma, Vercel, Netlify


$ gh stats

Saud's GitHub stats Top languages



GitHub streak



3D contribution graph



Contribution activity graph



Contribution snake

Random dev quote

⭐ If something here is useful, a star says thanks. Interesting problem? satopaysaud@gmail.com

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Profile README — AI/ML engineer: hybrid RAG, on-device vision, deterministic risk engines, upstream security patches

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