AI/ML & Deep Learning Expert | Computer Vision, LLMs & Generative AI
I am a senior AI/ML engineer and software leader with over a decade of experience delivering advanced solutions in computer vision, deep learning, and generative AI. My work spans applied research and real-world deployments, from UAV defense and PCB defect detection to medical imaging and AI-powered automation.
🔹 Core Expertise
Computer Vision: Object detection & tracking (YOLOv5–YOLOv8, YOLO-NAS, DeepSort, ByteTrack), semantic & instance segmentation (U-Net, Mask R-CNN, DeepLabV3, SAM), OCR (Tesseract, PaddleOCR), face/person re-identification, pose estimation, action recognition, and 3D reconstruction/AR.
Generative AI: Stable Diffusion, GANs (CycleGAN, Pix2Pix, StyleGAN, 3DGAN), image synthesis, data augmentation, and AI-assisted design.
Transformers & LLMs: Proficient in Hugging Face Transformers (BERT, GPT, T5, Vision Transformers), fine-tuning/custom training, and building Retrieval-Augmented Generation (RAG) pipelines.
LangChain & AI Agents: Developing intelligent automation workflows, chatbots, and multi-agent systems using LangChain, vector databases, and prompt engineering best practices.
Data Science & Forecasting: Data mining, predictive modeling, time series forecasting, and text mining/classification.
🔹 Tools & Technologies
Primary Stack: Python (PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib).
Frameworks & Platforms: Hugging Face, LangChain, Flask/FastAPI, PyQt, Tkinter.
Other Expertise: C, C++, Matlab, MySQL, and cloud deployment on Azure/AWS.
With a strong balance of theoretical knowledge and hands-on project delivery, I specialize in building robust, scalable, and production-ready AI solutions that integrate seamlessly into business workflows.