- Object Detection & Tracking
- Feature Extraction & Stereo Vision
- Pose Estimation & SLAM
- HyperSpectral Imaging & NeRF
- Gaussian Splatting & Real-Time Video Analysis
- Vision Language Models (VLMs)
- Semantic & Instance Segmentation
- 3D Reconstruction & Depth Estimation
- Face Recognition & Action Recognition
- Visual Question Answering
- Deep Learning (CNN, GAN, LSTM, Transformers)
- Transfer Learning & Self-Supervised Learning
- MLOps & TinyML
- Reinforcement Learning
- AutoML & Google Cloud AutoML
- Deep Learning: TensorFlow, PyTorch, Keras
- Data Science: Scikit-Learn, NumPy, Pandas
- Visualization: Matplotlib, Seaborn, Plotly
- Development: Git, Docker, FastAPI, Flask
- Cloud: AWS, Google Colab
- Databases: MongoDB, Elasticsearch, SQLite
- Data Pipeline Development
- Feature Engineering
- Big Data Processing
- MLOps Implementation
- Data Preprocessing & Cleaning
"Engineering is all about perspective, and traveling is such a builder for it."
I'm a Machine Learning Engineer with a passion for solving complex problems through AI and computer vision. With over 3 years of experience, I specialize in designing and implementing machine learning models for real-world applications.
- π Currently working as a Machine Learning Engineer
- π± Focusing on RAG Systems, LLMs, and Computer Vision
- π Lived in 7 countries, visited 30+ nations
- π Language enthusiast with a day streak!
- π₯ Co-author of the paper "High accuracy gender determination using the egg shape index" in Nature - Scientific Reports