Computer Science undergraduate (B.Tech, SIT Lonavala) specializing in Full-Stack Software Development, Embedded AI Systems, Robotics Engineering, and Blockchain Architecture. SIH 2025 National Winner and RoboRashtra 2026 Runner-Up (1st) with expertise in neural network inference, real-time systems, and autonomous navigation. Published researcher in collaborative systems with demonstrated expertise in:

• 🔹 Embedded AI & Real-Time Neural Network Inference on Microcontrollers
• 🔹 High-Performance System Design & Microservices Architecture
• 🔹 Precision Motor Control & Encoder-Based Odometry
• 🔹 Security Hardening & Cryptographic Systems
• 🔹 Scalable Backend Engineering & IoT Integration
• 🔹 Web3 & Blockchain Architecture

• 🚀 Co-Founding ASCEND – High-Tech Industrial Surveying & Digital Twins (LiDAR/Thermal)
• 🚁 Project ASCEND (ISRO Robotics Challenge) – Lead Navigation Engineer (ROS 2, Nav2)
• 📖 GATE 2027 Preparation – Appeared for GATE 2026 as a trial run; now targeting a serious rank in 2027
• 🛠️ Scaling Telhan Sathi – Real-world deployment & user feedback iteration
• 🔬 Quantum Computing Research – Post-quantum cryptography & algorithm optimization
• 🎓 Technical Leadership – Mentoring 70+ junior developers at IIC-SIT

Team Algo Sapiens | Smart India Hackathon 2025 | Dec 2025

• Led 6-member team to national victory among 10,000+ teams with Telhan Sathi (MoA&FW PS ID: 25273) • Architected AI & ML predictive models for crop shift mitigation & built IoT-based soil detection systems • Developed Progressive Web App for crop suitability guidance with real-time farm monitoring dashboards • Historic Achievement: First team from SIT Lonavala to reach nationals and win 🎉

Institution's Innovation Council, SIT Lonavala | Oct 2025 – Present

• Spearheading campus-wide technical initiatives for 500+ students across 8 departments • Pioneered Project Morpheus 2026 – Lead Organizer architecting technical infrastructure for national-level hackathon (200+ participants) • Co-architected Kalpataru 2025 – 10-week innovation competition with secure registration system • Mentored 70+ developers in CODE2LAUNCH workshop (React, Node.js, JavaScript) • Evaluated 50+ technical projects providing architecture & security feedback

• Embedded AI & Robotics: Teensy 4.1 microcontroller, Real-time neural network inference, Motor control, Encoder odometry, Sensor fusion
• Full-Stack: Next.js, Node.js, React, TypeScript, MongoDB, PostgreSQL
• Blockchain & Web3: Solidity, Ethereum, Smart Contracts, Hyperledger Fabric, IPFS
• System Design: Microservices, Distributed Systems, High-Performance APIs, Docker, Kubernetes, Real-time systems

• Backend: Express.js, Django, GraphQL, WebSockets, Firebase
• Emerging Tech: Quantum Computing (Qiskit), Post-Quantum Cryptography, AI/ML (TensorFlow, PyTorch), Embedded AI
• Robotics & Hardware: PID Control, Signal Processing, Motor Encoders, Analog Multiplexing, Real-time Systems
• DevOps & Cloud: AWS, GCP, CI/CD, Linux, Git/GitHub

Rust, JavaScript/TypeScript, Python, Java, Solidity, C++, SQL, Bash

Architecting a high-tier autonomous stack for ASCEND (Company) & ISRO Robotics Challenge, moving beyond basic drone builds into Advanced Aerial Robotics.

Integrating a "Pro-Level" sensory suite on a custom quad (920KV motors, 9075 props):

• 🧠 The Brain: Raspberry Pi 5 (16GB) – Companion computer handling heavy SLAM & AI processing
• 🎮 The Reflexes: Pixhawk 6c – Flight stability & MAVLink execution
• 👁️ The Eyes (3D): Livox Mid-360 LiDAR – 360° spatial awareness & mapping via Fast-LIO
• 🌡️ The Eyes (AI/Thermal): AI Camera + Thermal Camera – Object detection & heat signatures (Coral TPU)
• 📍 Indoor GPS: Optical Flow (MicoAir/Holybro) – Rock-solid altitude hold in GPS-denied environments

• GPS-Denied Navigation: Seamless Pi 5 ↔ Pixhawk bridging via GPIO for complex indoor autonomy
• Altitude Hold: EKF2 calibration to trust LiDAR/Optical Flow over barometer
• Dashboard: Real-time visualization of 3D LiDAR point clouds & thermal feeds

• Digital Twin: Real-time 3D thermal mapping for Search & Rescue
• Advanced Simulation: Stress-testing algorithms in Isaac Sim / Gazebo before deployment

Status: Co-Founder & CTO | Live: drone-nine-lemon.vercel.app

• Mission: Creating "Digital Twins" of physical landscapes (construction, mines, infrastructure) using precision drone data.
• Key Services:
  • 📏 LiDAR Mapping: Penetrating vegetation for ground topology (+/- 2cm accuracy).
  • 📸 Photogrammetry: High-res 2D maps & 3D meshes for site planning.
  • 🔥 Thermal Inspection: Detecting defects in solar panels & utility lines via heat signatures.
• Vibe: "Industrial Sci-Fi" – Robotic, data-heavy, precision-focused brand covering 1200+ acres/day.

Status: Competition Winner | Prize: ₹10,000 | Feature: Maval Maza Newspaper

• Tech Stack: Teensy 4.1, Neural Networks, Motor Encoders, CD74HC4067 Multiplexer, C++
• Role: Team Leader – Architected Neural Network maze-solving algorithm & precision encoder-based motor control
• Achievement: Engineered a hybrid autonomous robot combining real-time NN inference with high-speed line-following in a continuous 16-hour coding marathon
• Key Innovations:
  • Trained & deployed neural network for spatial reasoning on embedded microcontroller (sub-millisecond inference latency)
  • Integrated high-resolution motor encoders to eliminate drift, achieving mathematically perfect 90° turns
  • Implemented 16-channel analog multiplexer (CD74HC4067) for advanced sensor fusion from 16 IR distance channels
  • Developed Auto-Hybrid Mode logic enabling seamless switching between deterministic line-following and AI maze-solving
  • Built Safety Supervisor architecture to prevent collisions while maintaining autonomous operation
• Team: Manas Kale, Yash Kamble (Hardware/Wiring), Harsh Pandhe (AI/Encoders/Leadership), Saurabh Kadam
• What I Learned: Embedded AI deployment, real-time control systems, signal processing for sensor smoothing, autonomous navigation algorithms

Status: National Winner | Live: telhan-sathi.vercel.app

• Tech Stack: Python, IoT, Django, Mobile App, Real-time Dashboards
• AI-powered platform for oilseed farming with predictive crop advisories
• Integrated government schemes (NMEO-OS) with real-time market insights
• Deployed with real-time soil moisture monitoring & procurement guidance
• Impact: Targeting 500+ farmers by Q2 2026

Status: Live | Link: collabcodex.vercel.app

• Tech Stack: Next.js, Monaco Editor, Liveblocks, Convex, TypeScript
• Engineered collaborative coding platform supporting 50+ concurrent users with sub-50ms state propagation
• Recognition: Published research paper in IRJMETS (Jan 2024)
• What I Learned: Real-time conflict resolution & CRDT implementation

Status: Live | Infotsav'25 Presentation

• Tech Stack: Next.js, Django, Custom Blockchain (Solidity), MongoDB
• Civic reporting platform where users earn blockchain-based EcoCoins for resolving infrastructure issues
• Optimized Django REST API for 1000+ concurrent requests using Redis caching
• What I Learned: On-chain governance & smart contract security

Status: Production | Participants: 200+

• Tech Stack: Node.js, MongoDB, React.js, Tailwind CSS, Docker
• Enterprise-grade registration platform I architected as Head of Cybersecurity
• Secure payment gateway integration & deployed on Vercel with MongoDB Atlas

Sinhgad Institute of Technology (SIT), Lonavala | Sep 2024 – Aug 2027

• CGPA: 7.18/10.0 | Sem 5 SGPA: 8.05 (21/21 Credits Cleared ✅)
• 5th Semester Highlights:
  • 🏅 O Grade (10/10): Laboratory Practice I, CN & Security Lab, Seminar & Technical Communication
  • 🔗 Blockchain Honours: O (Practical) + A (Theory) – aligns with IIC Cybersecurity & Blockchain leadership
  • ⚡ A+ in Distributed Systems | A in Systems Programming & OS
• Relevant Coursework: Data Structures & Algorithms, Operating Systems, DBMS, Theory of Computation, Distributed Systems, Computer Networks
• Leadership: Head of Cybersecurity & Blockchain (IIC-SIT)

SPM Polytechnic College, Solapur | Apr 2021 – Mar 2024

• Leadership: General Secretary (Head Boy)
• Developed foundational expertise in OOP, data structures, and full-stack technologies

Presentation Convent School, Nerul | Grade: 89%

• Appeared with minimal preparation to gauge the exam firsthand
• Key Takeaway: The paper was doable — solved C pointers, Networking logic & Aptitude from core college knowledge alone
• Reality Check: Realized focused prep of even ~1 month could have made a real difference

Target Rank: Top 500
Focus Areas: Distributed Systems, Database Design, Theory of Computation, Computer Networks
Study Resources: Operating Systems (Silberschatz), DBMS (Navathe), Discrete Math (Rosen), Physics Wallah

Trial run is over. Next time, I'm not going for the "experience" — I'm going for the rank. 🔥

• National Winner: Smart India Hackathon 2025 – First team from SIT Lonavala to win nationally
• Robotics Runner-Up: RoboRashtra 2026 – 1st Runner-Up in Chakravyuh (Maze & Line Solving), ₹10,000 Prize
• Press Feature: Maval Maza Newspaper – State-level coverage for technical innovation
• Published Researcher: Research paper on Collaborative Code Editor (IRJMETS, Jan 2024)
• National Finalist: SIH 2025 National Finals
• Top 40: PCU Ideathon 2.0 (500+ teams)
• Open Source: 76 GitHub repositories with 817 contributions in the last year
• Mentorship: Trained 70+ junior developers

• ✅ Certified Ethical Hacker Bootcamp (ZTM Academy) – Penetration Testing, Kali Linux, OWASP
• ✅ Web Developer Bootcamp 2025 (Udemy) – Modern Web Stack
• ✅ Computer Networks Fundamentals (Udemy) – OSI Model, TCP/IP
• ✅ Data Science 101 (IBM) – Data Analysis, Visualization, Statistics
• ✅ Responsive Web Design (freeCodeCamp) – CSS, Flexbox, Mobile-first Design
• ✅ Git & GitHub Mastery (Udemy) – Version Control, Collaborative Workflows
• ✅ Advanced DSA (Codedamn) – Algorithm Optimization
• ✅ Embedded Systems & Microcontroller Programming (Hands-on at RoboRashtra 2026)

• 📝 LinkedIn Creator – Technical insights & mentoring junior developers
• 🎓 Workshop Leader – CODE2LAUNCH (React, Node.js, JavaScript) – 70+ attendees
• 🏅 Published Researcher – "Collaborative Real-Time Code Editing Systems," IRJMETS, Jan 2024
• 🎙️ Speaker – Infotsav'25 (CityConnect presentation)

Languages: 🇮🇳 Marathi (Native) | 🇬🇧 English (Professional) | 🇮🇳 Hindi (Professional) | 🇪🇸 Spanish (Elementary)

Interests: Quantum algorithms (Qiskit), Post-Quantum Cryptography, DeSci, LLM Security, Autonomous Navigation, Robotics Engineering, Embedded AI, Drone Robotics, Gym & Fitness

• 🔗 Open Source: Contributing to blockchain & distributed systems projects
• 💼 Consulting: Available for blockchain architecture & system design discussions
• 📧 Reach Out: harshpandhehome@gmail.com

Particularly interested in: Web3 infrastructure, Distributed Systems, Quantum-ready Cryptography

• Scaling Telhan Sathi to production (targeting 500+ farmers by Q2 2026)
• Publishing RoboRashtra technical deep-dive on neural network inference in embedded systems
• Open-sourcing the Maze Solver Neural Network training pipeline & firmware
• Open-sourcing Codex collaborative editor
• Quantum cryptography research paper
• Building decentralized talent marketplace on blockchain
• Advancing robotics research in sensor fusion & autonomous navigation
• Cracking GATE 2027 with a top-500 rank 🎯
• Speaking at hackathons & tech conferences

Follow my journey on LinkedIn & GitHub

"Always building, learning, and sharing across blockchain, AI/ML, cloud, web, and cybersecurity."

_{📍 Location: Navi Mumbai, Maharashtra, India
🌐 Website: harshpandhe.com
📧 Email: harshpandhehome@gmail.com | 📱 Phone: +91-7208783332}