Professional Overview
Throughout my academic journey, I have engaged in projects involving autonomous systems, medical imaging diagnostics, and smart surveillance technologies. I am proficient in deep learning frameworks such as TensorFlow and PyTorch, and have hands-on experience with tools like OpenCV and NVIDIA’s CUDA for high-performance computing.I am passionate about translating complex AI algorithms into practical applications that address real-world challenges. I am actively seeking opportunities to collaborate on innovative projects that push the boundaries of AI and Computer Vision.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
