Hire Nagesh M. - Generative AI Engineer

Working on advanced Generative AI (GenAI) solutions, focusing on: 1) Agentic AI–Driven Legacy Code Modernization & Data Lineage: Architected an autonomous AI platform that ingests legacy scripts (COBOL, Easytrieve, Qubole SQL) and converts them into modern targets (Snowflake SQL, Snowpark Python, updated Qubole pipelines) while preserving business logic. Implemented modular “agents” for code analysis, transformation, validation, and execution—enabling end-to-end workflows that automatically detect discrepancies and self-adjust conversion rules. Deployed an execution agent to spin up ephemeral environments (Qubole clusters, Snowflake warehouses, Snowpark runtimes) and verify runtime parity between source and converted code. Built a data-lineage agent to statically trace table references, joins, and transformations across both legacy and modern platforms, delivering full auditability and governance. Established a self-learning validation loop: when output mismatches arise, the validation agent triggers conversion updates, minimizing manual intervention and accelerating large-scale migrations. 2) Agentic AI–Powered Data Migration (LangGraph) with Human-in-the-Loop: Architected a LangGraph-based framework to orchestrate autonomous agents for source profiling, schema mapping, transformation, and target ingestion. Integrated human-in-the-loop checkpoints at mapping validation and data-quality stages, ensuring accuracy and stakeholder oversight. Developed transformation agents that automatically infer and apply metadata-driven mapping rules, minimizing manual effort. Deployed monitoring agents to detect anomalies, trigger alerts, and route complex issues to human experts for resolution. Executed end-to-end migrations from legacy systems to modern cloud warehouses, combining AI-driven automation with targeted human interventions.

Specializing in groundbreaking technologies like Large Language Model (LLM) and Large Multi-Model(LMM) learning. My passion lies in crafting generative AI solutions tailored for diverse industries, pushing the boundaries of what's possible. I've successfully engineered transformative use cases, ranging from predictive and prescriptive analytics to leveraging a spectrum of machine learning algorithms for our esteemed Kelly client. Additionally, I've dived into Computer Vision and image processing, contributing to tasks such as object detection and segmentation for the esteemed SLB client. Excited to continue this journey, staying at the forefront of AI advancements and driving innovation that makes a lasting impact. Here's to the exciting future of AI and its transformative potential across industries! Participated in the design and execution of Generative AI projects spanning various applications, including Software Development Life Cycle (SDLC), Finance, and Customer Relationship Management (CRMG). Orchestrated the development of chatbots utilizing langchain methodologies tailored to specific industry requirements. Delivered solutions for image generation, replacement, code generation, code documentation, entity extraction, and multimodal use cases across these domains. Led the development of a Teams Chatbot tailored for fostering employee-friendly conversations and addressing organizational-level inquiries and issues. Designed and implemented a user-friendly interface that facilitated seamless communication between employees and the organization. Utilized Generative AI techniques to enhance the bot's ability to understand and respond to a wide range of queries, ensuring efficient resolution of employee concerns and promoting a positive workplace environment.

AI/ML Developer | Computer Vision Specialist I have served as an AI/ML Developer with a focus on computer vision, specializing in image classification, object detection, and image segmentation projects. During my tenure, I successfully developed and implemented cutting-edge solutions for monitoring child activities on parental-controlled Android devices.