PEMCO Mutual Insurance Co., Seattle, WA

• Built a full-stack RAG platform with Python, FastAPI, React, Cognitive Search and Azure OpenAI, enabling 500+ agents to query complex insurance policies in natural language and improving customer satisfaction by 25%
• Developed an AI meeting scheduling agent using FastAPI and Graph API that autonomously retrieves availability and proposes optimal time slots; deployed through Power Apps for C-suite use, saving $25K/year in admin overhead
• Modernized multiple ETL workflows by migrating on-premise pipelines to Databricks, leveraging Delta Lake and PySpark to improve scalability and cut large-scale data processing latency by 30%
• Deployed microservices in Docker and Kubernetes across production, test, and dev environments, streamlining releases and cutting deployment time
• Collaborated with engineering, product, data, and sales teams to define feature stories, contribute to technical design, and ensure end-to-end system alignment

New York University (NYU-VIDA), New York, NY

• Developed RESTful and GraphQL APIs with Flask and Python for real-time wildlife trafficking analysis, supporting queries on 300K+ records with sub-200ms response times
• Optimized AWS infrastructure by offloading batch jobs to Lambda, leveraging EC2 auto-scaling groups, and integrating S3 lifecycle policies, reducing system downtime by 20% and lowering operational costs
• Designed a Kafka-based ingestion workflow that processes continuously scraped marketplace data and feeds cleaned records into downstream APIs and ETL jobs, improving data freshness by 40%
• Deployed observability stack with Prometheus and Grafana, automating metrics and alerts and reducing incident response time by 20%

Zopnik Innovations LLC, India

• Refactored APIs with Node.js, JavaScript, and async/await for non-blocking concurrency, and introduced GraphQL for efficient nested queries, boosting order throughput and raising customer satisfaction by 20%
• Improved API and UI component performance by Redis caching and MongoDB indexing, reducing API latency to 500 ms, resulting in a 30% reduction in page load times
• Automated build, test, and deployment workflows using Jenkins and Docker, increasing release frequency to twice per week and integrated SonarQube for code quality analysis

Molog Media LLC, India

• Developed high-performance e-ticketing APIs with Java, Spring Boot, and PostgreSQL using multi-threading and connection pooling, supporting 50K+ monthly users and 2K+ daily transactions
• Integrated a secure and fault-tolerant payment pipeline using RabbitMQ queues with idempotent processing and auto-scaling microservices, ensuring reliable transactions and reducing failure rates to less than 0.5%