Professional Overview
I am a AI/ML professional with a strong foundation in MLOps and production-scale AI systems, now expanding my expertise into the fast-evolving domain of Agentic AI. Over the past several years, I have worked at the intersection of software engineering and machine learning, designing and maintaining scalable pipelines, automating model lifecycle management, and ensuring reliable deployment in cloud-native environments. My experience spans across Server less Architecture, AWS ML Services, CI/CD for ML workflows, monitoring, and orchestration using tools like Docker. As AI capabilities have advanced, Currently, I’m adapting LLM-based agents, prompt engineering, and multi-agent collaboration frameworks that enable more human-like task execution and decision-making. My work is guided by a commitment to operational excellence, reproducibility, and cutting-edge research translation into usable products. I thrive in roles that demand both technical depth and strategic thinking—building not just models, but intelligent systems that scale and evolve. I'm now seeking opportunities where I can contribute to forward-thinking AI teams building next-gen autonomous, interactive, and resilient AI systems.
Areas of Expertise
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.
