Jun 2025 – Oct 2025 · 4 mos

• Developing Agents, tools: LangGraph, LangChain
• Leading Evalution for GenAi tools.
• Designing and implementing MCP servers & clients

Jul 2022 – Jun 2025 · 2 yrs 11 mos

• AI & Machine Learning Initiatives
• Designed and implemented AI-driven solutions to enhance Walmart’s technological advancements, achieving a 70% increase in item enrichment using Generative AI and reducing enrichment time by 200%.
• Developed and deployed a Generative AI application for creating product summaries and recommending improvements.
• Packaged BazaarVoice app code into a reusable Python library, reducing integration time by 40% across environments.
• Implemented MeghaCache to optimize API caching, reducing response times by 50% and handling over 1 million requests daily.
• Streamlined workflows with Poetry, improving dependency management and reducing build and deployment time by 20% across 5 teams.
• Migrated ML pipelines from Databricks to GCP’s Vertex AI, achieving 90% cost reduction and 50% time savings.
• Developed NLP models using Gensim to enhance functionality and intelligence.
• System Architecture & Development
• Contributed to Sam’s Merchandise Architecture Team, improving operational efficiency.
• Built Spring Boot microservices from scratch, enhancing scalability and performance.
• Introduced chaos engineering practices, boosting system resilience and stability.
• Applied canary deployment strategies for controlled, low-risk rollouts.
• Development Methodologies & Tools
• Advocated for and implemented Test-Driven Development (TDD) for improved code quality and reliability.
• Ensured system compatibility with contract testing methodologies.
• Cloud & Data Management
• Integrated Dapr with Google Cloud Platform (GCP) to deliver cloud-native solutions.
• Extracted data from Oracle Hive to populate BigQuery in GCP, driving data-driven insights.
• Optimized ML pipelines in cloud environments for better scalability and performance.