Greater Hyderabad Area
Senior AI Engineer with 4+ years of experience architecting and deploying production-grade AI systems across generative AI, LLM-powered applications, agentic workflows, and computer vision. Proven track record delivering scalable, secure, and high-performance AI platforms in financial services, geospatial intelligence, and enterprise SaaS environments, spanning the full lifecycle from foundation model fine-tuning and RAG pipeline engineering to MLOps, distributed data infrastructure, and on-premise deployment.
Architecting an agentic vision intelligence platform that consolidates multiple satellite analytics capabilities into a unified multi-modal system, reducing workflow fragmentation and improving end-to-end processing efficiency. Applied foundation vision models (SAM, DINO-based architectures) to improve satellite image segmentation accuracy by 20% and enhance super-resolution outputs for high-fidelity geospatial analysis and change detection.
Driving the development of enterprise-grade Generative AI solutions with a strong focus on open-source LLMs and on-premise deployments. I lead initiatives spanning prescriptive AI, unstructured document intelligence, and advanced conversational agents, architecting scalable systems that integrate cutting-edge language models into secure enterprise environments. My work bridges model fine-tuning, optimization, and deployment with practical application design, ensuring robust, high-impact solutions tailored for real-world business needs.
Engineered a Recruitment Engine from scratch utilizing Large Language Models (LLMs) for efficient and accurate Job fitment for a candidate including Interview Analysis. Achieved this using AWS services like Bedrock (Open Source LLMs), Aurora, SQS etc. Employed Advanced prompting and RAG techniques for better handling of hallucinations and production deployment issues
I work on developing a sophisticated decision engine for a bank using statistical modelling. This engine plays a crucial role in assisting loan-related decisions, enhancing the bank's efficiency in evaluating and processing loan applications.
I worked on building Scala/Spark based ETL pipeline for a large-scale Electricity Disaggregation AI/ML model. Also worked on building AI/ML models for different use cases in Gaming Analytics Accelerator which uses traditional ML as well as DL models to predict multiple target variables which are of interest in gaming and gambling