Building Deploy-Ready AI Systems with Deep Learning, Computer Vision, NLP & Scalable Software Engineering.
I am an AI Engineer and Software Developer passionate about transforming complex ideas into intelligent, production-ready systems. My work focuses on Deep Learning, Computer Vision, Natural Language Processing (NLP), MLOps, and scalable backend engineering.
I specialize in building high-performance AI solutions including CNN-based image analysis systems, YOLO-powered object detection and segmentation pipelines, transformer-based NLP applications, and multimodal architectures that combine vision and language understanding. Alongside model development, I design robust APIs, deployment pipelines, and scalable infrastructures that ensure seamless real-world integration.
My experience includes Edge-AI development on devices like Raspberry Pi, research-driven domain adaptation projects, AI-powered automation systems, and full-stack AI deployment workflows using Docker, Kubernetes, FastAPI, GitHub Actions, MLflow, and cloud-native technologies.
Beyond coding, I enjoy solving research-oriented problems, optimizing model performance, and bridging the gap between AI research and software engineering. I believe the future of AI lies not just in building accurate models, but in creating reliable, scalable, and impactful systems that can operate efficiently in real-world environments.
Work Terms
• Open to AI Engineering, Machine Learning, Deep Learning, Computer Vision, NLP, MLOps, and Full-Stack AI projects.
• Comfortable working on research-oriented as well as production-scale systems.
• Available for freelance, collaborative, and long-term development opportunities.
• Preferred communication: Clear technical discussions with regular progress updates.
• Development workflow includes documentation, testing, version control, and scalable deployment practices.
• Experienced with Git/GitHub, Docker, Kubernetes, FastAPI, PyTorch, TensorFlow, MLflow, and modern DevOps pipelines.
• Focused on delivering optimized, maintainable, and deployment-ready solutions with strong performance and reliability.