Uday Srivastava

Delivered 3 enterprise-grade applications from scratch with intuitive UI/UX, modular design, and scalable architecture, leveraging React, TypeScript, Firebase, and LLMs. Built TenderLyser.AI, an AI analyst agent with source-linked insights, conversational Q&A, and intelligent checklists, which cut tender review time by 70%, reduced compliance errors, and enabled evaluation of 2× more bids with higher accuracy. Built an Employee Timesheet Portal with role-based access, enabling transparent project reporting that reduced reporting errors by 60%, accelerated billing cycles by 30%, and strengthened client trust. Engineered the Adventz Campus Recruitment Dashboard, automating a forms → sheets → Firestore pipeline with real-time KPIs and a live recruitment funnel, eliminating manual data consolidation, saving 15+ HR hours per week, and accelerating hiring decisions by 35%.

Developed ML models for prediction, classification, clustering, and gesture recognition using deep learning and traditional ML techniques. Applied ML to diverse datasets to derive actionable insights and support decision making.

Applied concepts of AR-VR, Mixed Reality, Image Rendering, Procedural Modeling, UI-UX design to build multiple AR-VR projects. Built & deployed AR apps (Vertical Surface Detector, Darts Game) on iOS and Android, and developed a VR First Person Shooter game and 3D multi-level rocket game using Unity and C#.