𧬠SYSTEM PROFILE & TELEMETRY HUD
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β SYSTEM ARCHITECTURE: TEJAS ROHIT KHARKAR // LEAD AI & MACHINE LEARNING ENGINEER β
β TELEMETRY SPECS : COMPUTER VISION | GENERATIVE AI & RAG | TINYML | MODEL QUANTIZATION β
β STATUS : π’ ONLINE (NEURAL_CORE_LOAD: 100 %) // LOCATION: MUMBAI, INDIA β
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Engineer Specs :
Name : Tejas Rohit Kharkar
Role : AI & Machine Learning Software Engineer
GitHub : Tejas-1017
Education : B.Tech in Artificial Intelligence (UEM Jaipur, 2023 - 2027)
Experience :
- AI Engineer @ Hashtee Labs (Industrial Computer Vision & Edge AI)
- Technical Lead AI @ Shunya (TinyML & Sensor Intelligence Systems)
Performance Metrics :
- Real-Time Inference Latency : < 3.5 ms
- Vision Model Precision : 98.9% mAP
- Total AI Codebases Deployed : 14 Working Repositories
π HONORS & NATIONAL / INTERNATIONAL ACHIEVEMENTS
Rank / Honor
Event / Competition
Organizer / Venue
Category
π₯ 1st Winner
ESYA '23 Innovation Challenge
IIIT Delhi
National Innovation
π₯ 1st Winner
Project Expo 2023
MIT Jaipur
Robotics & AI
π International Winner
Technoxian RC Electric International 2024
World Robotics Championship
International Robotics
π₯ 1st Runner Up
Virtual Robotics, MindSpark 2023
COEP Pune
Virtual Simulation
π₯ 1st Runner Up
Makers Carnival Innovation Challenge
JECRC Jaipur
Hardware Innovation
π₯ 2nd Runner Up
IEEE National Level Project Expo
Chandigarh University
IEEE National
π₯ 2nd Runner Up
Engineer 2k23 Project Expo
NIT Surathkal
National Expo
π₯ 2nd Place
National Innovation Competition
NIT Srinagar
National Innovation
π₯ 3rd Place
Makers Exhibition, Makers Carnival
JECRC Jaipur
Hardware Exhibition
π TECH MATRIX & NEURAL STACK
Domain
Technologies & Infrastructure
Deep Learning & Frameworks
Computer Vision & Video AI
Generative AI & LLMs
Languages & System Code
Robotics & Spatial Vision
Edge AI & Microcontrollers
Backend & Cloud Pipelines
π₯ 14 FEATURED PRODUCTION AI REPOSITORIES
β‘ TEJAS KHARKAR // ADVANCED ARTIFICIAL INTELLIGENCE & NEURAL SYSTEMS ENGINEERING β‘