I am a senior AI/ML technical leader with 9+ years of experience delivering AI, LLM, RAG, agentic AI, MLOps, and data-driven solutions across telecom, banking, manufacturing, HR, healthcare, and enterprise domains.
I have led end-to-end AI platform development, from business requirements and architecture design to ETL pipelines, model development, deployment, monitoring, and governance. My work spans supervised ML, NLP, deep learning, multimodal AI, recommendation systems, forecasting, and enterprise copilots.
I focus strongly on business impact. I have helped drive revenue growth, cost optimization, and process automation through AI systems, including measurable enterprise outcomes such as incremental revenue gains and vendor-cost reduction through automation and voice-to-text solutions.
I have extensive experience building and fine-tuning open-source and proprietary LLMs and multimodal models using tools such as Hugging Face, LangChain, LangGraph, Ollama, and cloud platforms including Azure, AWS, GCP, and Databricks. I also work across hybrid and on-prem environments with CI/CD-driven MLOps pipelines.
In my recent roles, I have led AI initiatives for Ooredoo Group, Randstad Digital, Tech Mahindra, ZF Group, and Wipro, delivering production-grade solutions such as AI assistants, recommendation engines, document extraction systems, forecasting models, and HR and resume-related copilots.
I also enjoy mentoring teams, collaborating with senior stakeholders, and translating complex AI capabilities into practical business solutions. I have delivered training sessions through platforms such as upGrad, KnowledgeHut, and Analytics Vidhya, and I continue to build scalable AI systems that create measurable value.