National-level product engineering team building AI-driven infrastructure systems.

Technical Mavde is a 4-member high-performance engineering team focused on solving civic, infrastructure, fintech, and geospatial challenges through scalable, production-grade systems.

We specialize in turning ambiguous national problem statements into deployable platforms.

• Tanmay Rajurkar
  Product Strategy • Systems Thinking • Architecture • Full Stack Development • AI-ML Systems

  GitHub: https://github.com/tanmayrajurkar

• Prasanna Pal
  Backend Engineering • Scalable Systems • Cloud Infrastructure • Full Stack Development • AI-ML Systems

  GitHub: https://github.com/PrasannaPal21

• Chinmay Bhat
  AI-ML Systems • Hardware Integration • Innovation Engineering • Full Stack Development • Scalable Systems

  GitHub: https://github.com/Chinmay0805

• Anshul Hajare
  Optimization • Financial Systems • Operational Strategy • Full Stack Development

  GitHub: https://github.com/AnshulH2507

• 🥇 Smart India Hackathon 2025 — Winner
  Project: SAGAR

• 🥇 Smart India Hackathon 2024 — Winner
  Project: PARAS

• 🏆 Winner — Post-A-Thon Hackathon
  24-hour national hackathon organized by India Post

• 🥈 1st Runner Up — Google Dev Sprint 2024

• 🚀 Selected Team — EUREKA’24, IIT Bombay

AI-Driven Marine & Geospatial Intelligence Platform
Built an end-to-end intelligence system for large-scale marine and geospatial datasets, integrating AI-powered analysis with interactive dashboards to support public infrastructure and research decision-making.

Tech Focus:

• AI-based geospatial analytics
• Data visualization dashboards
• Scalable data pipelines
• Infrastructure decision support systems

Winner — Smart India Hackathon 2025

AI-Powered Smart Parking System
Designed a predictive analytics-driven smart parking platform to reduce average parking search time by 35%.

Core Capabilities:

• Real-time availability tracking
• Predictive demand modeling
• IoT-based data capture
• ML-based optimization engine

Winner — Smart India Hackathon 2024

• AI/ML-driven decision systems
• Civic & urban infrastructure platforms
• Geospatial intelligence engines
• IoT-integrated automation systems
• Full-stack cloud-native platforms
• Data-driven public sector solutions

• Python, C++, JavaScript
• MERN Stack
• Machine Learning & Data Analytics
• PostgreSQL / Supabase
• Cloud & Distributed Systems
• IoT Hardware Integration

• Build for deployment, not demo.
• Engineer for real-world constraints.
• Prioritize execution over visibility.
• Systems > slides.

Open to:

• GovTech collaborations
• Infrastructure pilots
• AI-driven public systems
• Research-backed deployments