Bengaluru, Karnataka, India
I am a results-driven AI Engineer with 4+ years of experience designing and deploying end-to-end AI/ML solutions across diverse industries, including Healthcare, Legal, Gaming, and Digital Services. I specialize in bridging the gap between cutting-edge research and production-ready applications, with a heavy focus on Generative AI and RAG frameworks. My approach centers on building "AI that works"—scalable, serverless, and integrated into existing business workflows. Whether it’s automating complex data extraction or building predictive engines, I focus on delivering high-performance systems that drive measurable ROI. What I Bring to the Table: 1. Generative AI & RAG: Expert in architecting Retrieval-Augmented Generation systems to transform unstructured data into actionable intelligence. 2. End-to-End Cloud Deployment: Deeply proficient in the AWS ecosystem, building serverless architectures using Bedrock (Agents & Knowledge Bases), Lambda, and API Gateway for seamless integration. 3. Full-Stack ML Development: Experienced in the entire lifecycle, from data processing and feature engineering to training boosting models and deploying predictive pipelines. Professional Impact: 1. Automated Intelligence: Developed RAG-based tools to navigate complex regulatory and clinical documentation, significantly reducing manual ground-truth creation. 2. Predictive Analytics: Engineered ML pipelines for financial risk detection and late-payment forecasting, enabling data-driven decision-making. 3. Personalization Engines: Built and deployed recommendation systems using a mix of traditional ML (Boosting, Regressions) and GenAI to enhance user engagement. 4. Serverless AI Apps: Architected and exposed secure, scalable LLM-powered chat interfaces through robust API management. I am always looking to connect with fellow innovators or organizations looking to leverage the power of Generative AI and MLOps to solve real-world challenges.