AI Engineer | LLM & RAG Architect | Building Production Ready Intelligent Systems on Cloud | PGD CSE IITB | Lets Connect







Postgraduate Diploma, Computer science engineering
IIT Bombay

Bachelor of Technology - BTech, Electronics and telecommunication
MIT Academy of Engineering
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AI & Machine Learning Engineer focused on building production-grade AI systems that transform complex data into actionable intelligence. I design, train, and deploy ML and deep learning models for real-world applications, specializing in predictive analytics, NLP, computer vision, and large-scale AI pipelines. I work extensively with Python and modern ML frameworks including TensorFlow, PyTorch, scikit-learn, Hugging Face, and OpenCV, owning the full ML lifecycle, from data preprocessing and feature engineering to model deployment, monitoring, and optimization. My solutions have reduced cloud infrastructure costs by ~40%, improved ETL pipeline efficiency by over 70%, and contributed to ~15% increases in customer engagement through better model accuracy and system responsiveness. Beyond modeling, I focus on productionizing AI at scale, integrating ML systems with backend services using Docker, Kubernetes, and CI/CD pipelines across AWS, GCP, and Azure. I design AI solutions that are not only accurate, but also scalable, cost-efficient, and reliable under real production loads. Currently pursuing an Executive Postgraduate Diploma in Computer Science & Engineering at IIT Bombay, I thrive on solving high-impact AI problems and translating research into measurable business outcomes through thoughtful system design and ethical AI practices.
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Postgraduate Diploma, Computer science engineering, IIT Bombay
Bachelor of Technology - BTech, Electronics and telecommunication, MIT Academy of Engineering