Jayant

Machine Learning Engineer

Talent

DelhiMember since 27 June 2026

TypeScriptPythonHTMLCSSReact NativeFastAPIExpoTailwindCSSn8nExpo RouterScikit-learnAsyncStorageReact Native ReanimatedGesture HandlerMachine LearningGenerative AiLlm

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TypeScriptPythonHTMLCSSReact Native

About

Built an AI-powered government audit monitoring system using React 18, FastAPI (Python), and Scikit-learn to detect fraudulent transactions across schemes like scholarships, pensions, and procurement. Implemented multi-vector fraud detection combining rule-based analysis, ML anomaly detection, and network relationship mapping, achieving 98.2% model confidence score. Developed a case management dashboard with real-time risk scoring, evidence chain visualization, and auditor feedback loop that continuously improves model accuracy.

Experience

Full Stack Developer at HACK4Delhi Hackathon (2026-01 – Present)

Built an AI-powered government audit monitoring system using React 18, FastAPI (Python), and Scikit-learn to detect fraudulent transactions across schemes like scholarships, pensions, and procurement.
Implemented multi-vector fraud detection combining rule-based analysis, ML anomaly detection, and network relationship mapping, achieving 98.2% model confidence score.
Developed a case management dashboard with real-time risk scoring, evidence chain visualization, and auditor feedback loop that continuously improves model accuracy.
Designed network link analysis module to identify collusion rings, duplicate bank accounts, and suspicious entity relationships across government datasets.

Frontend Developer at Smart India Hackathon (SIH) 2025 (2025 – Present)

Developed a web prototype for querying ARGO float and ocean BGC (Bio-Geochemical) data using natural language, built with HTML and TailwindCSS.
Designed a chat-style interface (working_sample.html) integrated with an n8n webhook backend, enabling users to submit ocean data queries and receive live AI-generated responses.
Built an interactive Ocean Data Explorer supporting parameter switching across Salinity, Temperature, Oxygen, pH, Nitrate, and Pressure with dynamic graph updates.
Created a multi-page frontend including landing page, static demo chat, download request form, and data explorer — all delivered as a front-end-only deployable prototype.