Dynamic and results-oriented Chief Architect with over 18 years of experience specializing in building cutting-edge Machine Learning solutions. An alumnus of ISB, adept at leading teams and developing transformative Generative AI applications using state-of-the-art technologies. Expertise in fine-tuning Language Models (LLMs) and leveraging advanced RAG frameworks to deliver innovative solutions across diverse platforms including OpenAI, Azure OpenAI, and HuggingFace. Demonstrated ability to architect and implement tailored solutions that address complex business challenges, leveraging robust skills in statistical modeling, multivariate analysis, time series forecasting, and deep learning. Proven proficiency in leveraging cloud services from AWS and Azure to create scalable and efficient ML architectures. Known for driving end-to-end project lifecycles from ideation and POC to production, consistently delivering high-impact solutions. Trusted advisor to leadership teams, adept at identifying and articulating business use cases for AI/ML applications. Actively contributes to the AI community through ML hackathons, conferences, and as a guest lecturer at universities. A strategic member of senior technical hiring panels, influencing talent acquisition for critical projects.Key Skills- Machine Learning Models & Applications- Generative AI & Language Models- Statistical Modeling & Forecasting- Deep Learning (Text, Images, Videos)- Cloud Services (AWS, Azure, GCP)- Data-Driven Platform Development- Business Use Case Identification- Project Management & Leadership- ML Training & Education- Proposal Development
Listed skills include Machine Learning, R, Bayesian Statistics, Python, and 34 others.
