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Jeevan-HM/README.md
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🤖  I teach robots to learn from their mistakes — just like the rest of us.

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Image  About Me

I live in the messy middle ground between simulation and reality — training policies that work beautifully in sim, then spending weeks debugging why they fall apart on real hardware.

That's where physics, control theory, and ML collide. That's where I do my best thinking.

Grew up in Bangalore. Studied electronics. Realized I wanted to build things that move.

🎓 M.S. Robotics & Autonomous Systems — ASU (3.78)
🔬 RISE Lab — Dr. Wenlong Zhang
💼 Ex-ML Engineer — Jupiter AI Labs
🏅 B.E. ECE — VTU, Bangalore
🎯 Graduating May 2026

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Image  What Drives Me

🧠

Learning Robots

Teaching robots to learn from experience through RL — not just follow scripts

🌉

Sim-to-Real

Bridging the gap with domain randomization & transfer learning

🦾

Soft Robotics

Pneumatic systems for safer, more adaptive human-robot interaction

⚙️

Systems That Ship

Production ML that works at scale — not just on a notebook


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🔭   What I'm Working On

🔬 Thesis — PRC

Physical Reservoir Computing
for Soft Robots

Idea Use passive pneumatic dynamics as computation
Pipeline ROS + ZMQ (100 Hz pressure, 120 Hz mocap)
Data 10,000+ synchronized samples
Result R² improved 0.80 → 0.90
Target 📄 MECC 2026

ROS ZMQ NumPy SciPy MATLAB

🐕 Quadruped RL

Sim-to-Real Transfer
for Legged Locomotion

Algorithm PPO — 10M iterations
Environments 16 parallel sims
Success Rate 89% on 5m tasks
Hardware 40% less instability
Dashboard Joint + LiDAR @ 20 Hz

MuJoCo Isaac Sim PyTorch ROS 2

✋ Gesture Arm

Hand Tracking →
Robot Manipulation

Input Hand gesture recognition
Output Robotic arm control
Goal Intuitive HRI
Status 🔨 In development
Philosophy Best interface = your hand

OpenCV Python ROS Embedded


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Image  Things I've Built

🤖 Fusion Robotics

Quadruped + UR5 Mobile Manipulation

🦿 DOF 12 (quad) + 6 (arm) = 18
📡 Comms DDS middleware
🖥️ Monitor Flask + WebSockets
⚡ Setup 45 min → 8 min

ROS 2 DDS Flask WebSockets

🐢 Nav-Fusion

TurtleBot4 Autonomous Navigation

📍 Position 3cm accuracy
✅ Nav 95% success rate
🗺️ SLAM 5cm grid resolution
📡 Sensors LiDAR + Depth + IMU → EKF

ROS 2 Nav2 Cartographer EKF

🔭 Semantic Visual Odometry

Drift-Reduced Neural Navigation

📊 Position Error ↓ 34% reduction
🎯 IoU (textureless) 0.78 vs 0.51 baseline
🧠 Architecture OCC-VO + UC-NeRF

PyTorch NeRF Visual Odometry CUDA

🎵 VocaLift

🏆 Best Hack for Social Good — DevHacks ASU

🎤 Pitch Real-time extraction
🔊 Audio Meta Audiocraft
🧠 Model LSTM on Mel-spectrograms
♿ Purpose Assistive: text ↔ hum

LSTM Audiocraft librosa Flask

🛰️   More — Jupiter AI Labs Production Systems (click to expand)

Aerial Lawn Measurement

🎯 Detection 87% mAP
⚡ Response 450ms
📈 Volume 1,000+ req/day
🏗️ Data 5,000+ aerial images

YOLOv8 FastAPI Docker AWS

AI Healthcare Chatbot

✨ Error Reduction 68%
🎯 Intent Accuracy 92%
📚 Documents 50,000 indexed
🔒 Architecture Guardrailed RAG

RASA GPT-3.5 ChromaDB RAG

Production infra: AWS · 99.7% uptime · 15,000+ users · CI/CD via GitHub Actions · Prometheus + Grafana



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🛠️   Tech Stack

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🦾   Robotics & Control

Frameworks ROS / ROS 2, ZMQ, DDS
Simulation MuJoCo, Gazebo, Isaac Sim
SLAM & Nav Cartographer, Nav2, ORB-SLAM
Sensor Fusion EKF, UKF, Kalman Filters
Hardware STM32, ESP32, ADS1115
Manipulators UR5, Custom 12-DOF Quad

🧠   AI / Machine Learning

Deep Learning PyTorch, TensorFlow, CUDA
RL PPO, SAC, TD3, GAE
Computer Vision YOLOv8, Detectron2, OpenCV
3D Vision NeRF, Visual Odometry
NLP / LLM Transformers, RAG, LangChain
Time-Series LSTMs, AutoTS, ACF

☁️   Cloud & DevOps

AWS EC2, S3, SageMaker, Lambda
GCP Cloud Run, Vertex AI
Containers Docker, Kubernetes
CI/CD GitHub Actions, Ansible
Monitoring Prometheus, Grafana

💻   Languages & Tools

Primary Python, C++, C
Web FastAPI, Flask, React
Databases PostgreSQL, MongoDB, Redis
Scripting Bash, MATLAB
Protocols DDS, ZMQ, WebSocket

Python and C++ are my daily drivers. Everything else is a tool I picked up when the problem demanded it.


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📊   GitHub Activity

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🎯   What's Next

🔍 Interested In

Sim-to-Real Transfer · Soft Robotics · Multi-Agent Systems · RL for Control

💡 Open To

Full-time roles · Research positions · Open-source robotics · Interesting RL problems

📫 Reach Me

jeevanhm308@gmail.com
jeevan-hm.vercel.app
linkedin.com/in/jeevanhm


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⭐ From Jeevan-HM — Making robots smarter, one gradient descent at a time.

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