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sskninja/README.md

Saurabh Sisodia  ·  sskninja

Software Engineer · Backend & AI Systems · Rust-first

Email LinkedIn Location Open to Remote

Rust Node.js FastAPI Web3


About

I build high-performance backend and AI systems — async runtimes, multi-modal inference engines, real-time forensics pipelines. Currently at PaladinAI where I led development of deepfake detection systems, phonetic transcription/translation services, and GPU-accelerated inference infrastructure using Kafka and Flink.

I write production Rust every day. I care about throughput, correctness, and systems that don't fall over.

Interests: AI for Forensics · Blockchain Architecture · Distributed Systems · High-Performance Computing


Experience

PaladinAI — Software Engineer  Feb 2025 – Present

  • Led deepfake detection & AI forensics system — scalable architecture, database design, secure sensitive-data handling
  • Built backend services in Rust, Node.js, FastAPI, and PostgreSQL
  • Led Phonetic Systems for audio transcription and translation at scale
  • Optimized AI inference with GPU acceleration, Kafka + Flink task queue architecture

PaladinAI — Backend Developer  Jul 2024 – Nov 2024

  • Real-time KYC system: frame extraction, identity verification, blacklist checks, face-swap detection
  • Microservice architecture with high throughput and low-latency AI workloads
  • Rust + Tokio async services, SQLx type-safe queries, FFmpeg for real-time frame extraction

Web3sec.news — Open Source Contributor  Jan 2024 – Dec 2024

  • In-depth technical blogs on Ethereum, Solana — consensus models, architecture, performance
  • Built a decentralized Ethereum crowdfunding platform: Solidity smart contracts, Ethers.js, React.js
  • Wallet integrations with secure on-chain fund management

Projects

🦾 High-Performance AI Inference Orchestration Engine  Rust

Scalable async microservice for multi-modal AI inference — Video, Audio, Image — with hardware-accelerated processing.

  • High-concurrency API with Poem + Tokio, handling up to 500 MB multi-part uploads and long-running deep learning tasks
  • Integrated Torch (tch-rs) and OpenCV for video frame and audio stream processing — deepfake detection and media analysis
  • Dynamic device selection: CUDA (NVIDIA)MPS (Apple Silicon)CPU fallback, automatic per environment
  • Atomic background worker pattern with SQLite for task lifecycle management (Pending → Processing → Complete), heartbeat monitoring, zombie-task recovery
  • Async progress reporting via MPSC channels with frame-accurate status via RESTful endpoints
  • Strictly typed OpenAPI/Swagger spec for model discovery and frontend integration

Rust · Torch (tch-rs) · Safetensors · OpenCV · Poem · Poem-OpenAPI · Tokio · SQLx · SQLite · CUDA/MPS/CPU


🪪 Real-time KYC Pipeline  Rust

Production fraud detection system with real-time identity verification at scale.

  • Frame extraction pipeline via FFmpeg, identity verification, blacklist checks, face-swap detection
  • Tokio async runtime + SQLx type-safe queries for reliable, low-latency operations
  • Efficient schema design and indexing for high-throughput AI inference workloads

Rust · Tokio · SQLx · PostgreSQL · FFmpeg


⟠ Ethereum Crowdfunding DApp  TypeScript · Solidity

Decentralized crowdfunding platform on Ethereum with secure on-chain fund flows.

  • Smart contracts in Solidity, frontend via Ethers.js + React.js
  • Wallet integration, transparent fund management, safe transaction flows

Solidity · Ethers.js · React.js · Ethereum


Tech stack

Languages Rust · JavaScript · Node.js · Python · Solidity
Async / Runtime Tokio · async-std · Poem
AI / ML Torch (tch-rs) · Safetensors · OpenCV · CUDA · MPS
Data SQLx · PostgreSQL · MongoDB · SQLite
Streaming Kafka · Apache Flink
Web / API FastAPI · Express.js · OpenAPI/Swagger
Web3 Solidity · Ethers.js · Ethereum · Solana
DevOps Docker · AWS · Git · Linux

Education

B.Tech — ABESIT, Ghaziabad  Graduated Aug 2024


Building in Rust, one unsafe-free block at a time.
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📈 Activity Graph


🏆 GitHub Trophies


📊 GitHub Analytics


🐍 Contribution Snake


⌨️ Coding Activity


🚀 Current Focus

fn current_focus() -> Vec<&'static str> {
    vec![
        "Distributed Systems",
        "AI Infrastructure",
        "Rust Backend Engineering",
        "Kafka & Flink",
        "High Performance APIs",
    ]
}

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