Saurabh Sisodia

Led the development of AI-based forensics and deepfake detection system, designing and deploying scalable architecture and database systems for AI services. Engineered backend services with Node.js, FastAPI, Rust, and PostgreSQL, optimizing data processing workflows and ensuring secure handling of sensitive forensic data. Led the development of the Phonetic Systems for audio transcription and translation, designing and deploying scalable architecture and database systems for AI services.

Software Engineer at PaladinAi (2025-02 – Present)

• Led the development of AI-based forensics and deepfake detection system, designing and deploying scalable architecture and database systems for AI services.
• Engineered backend services with Node.js, FastAPI, Rust, and PostgreSQL, optimizing data processing workflows and ensuring secure handling of sensitive forensic data.
• Led the development of the Phonetic Systems for audio transcription and translation, designing and deploying scalable architecture and database systems for AI services.
• Optimized the AI inference performance using GPU acceleration, introducing Kafka and Flink architecture for prioritization of tasks by implementing task queues.

Open Source Contributor at Web3sec.news (2024-01 – 2025-12)

• Contributed in-depth technical blogs and architectural analyses covering Ethereum, Solana, and other blockchain ecosystems, explaining their design, consensus, and performance models.
• Provided insights into how blockchain mechanics influence trading markets, liquidity, and decentralized financial activity.
• Implemented a decentralized Ethereum-based crowdfunding platform using Solidity smart contracts, Ethers.js, and React.js with secure transaction flows and wallet integrations.
• Built robust, user-friendly wallet and contract interaction features ensuring safe fund management and transparent on-chain operations.

Bachelor of Technology – ABESIT, Ghaziabad (2024-08)

Class XII – St. Paul's Senior Secondary School, Mathura