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I'm a passionate engineer focused on robotic simulation, reinforcement learning, and AI/ML-powered automation. With hands-on experience in PyBullet, Isaac Sim, ROS2, and MATLAB, I build intelligent, autonomous systems for research and real-world applications. Currently, I contribute to advanced simulation projects at DRDO.
I love bridging the gap between theory and practice — transforming code into dynamic simulations and real-time intelligence.
- Languages: Python, C++
- ML/DL: DNN, CNN, RNN, LSTM, GAN, Transformers, RAG
- Simulation: PyBullet, Isaac Sim, Webots, MATLAB, ROS2
- Frameworks: TensorFlow, OpenCV, Gym, Streamlit, Flask
- Others: Docker, PCB Design, yFinance, Plotly, NLTK, SpaCy
| Project | Description |
|---|---|
| 🔬 Hexacopter Human Detection | YOLOv8-based detection in PyBullet drone simulation. Real-time aerial intelligence. |
| 📈 Stock Prediction & Analysis | Time series forecasting of NSE stocks using ML + financial indicators. |
| 🤖 ATS from Scratch | Resume screening system using NLP & keyword-based similarity with Flask + Streamlit UIs. |
| 🧠 AI Blog Assistant | LLM-powered assistant for drafting tech blogs from structured prompts. |
- ✅ NPTEL – ML & DL: Fundamentals & Applications (IIT Guwahati)
- ✅ Infosys Springboard – NLP, OpenCV, 3D Processing
- ✅ IBM AI Fundamentals
- ✅ SQL for Data Science – Great Learning
Always up for collaborating on AI, robotics, or simulation-based projects. Feel free to reach out or fork a project — I love learning through code.
“Robots learn like humans — through interaction, failure, and continuous feedback.”