Professional Experience

• Worked in team of 4 to Build a MVP of an agentic AI platform to process insurance underwriting documents and automate risk evaluation
• Developing a LangChain-based agentic pipeline to parse documents and extract structured underwriting data, with OpenTelemetry instrumentation for system observability.
• Implemented CI/CD pipelines and deployed services across AWS (EC2, DynamoDB, Lambda, API Gateway)

• Engineered a full-stack Agentic AI assistant using React, Flask (Python), SuiteScript, PostgreSQL, and NetSuite's LLM module, enabling employees to query live ERP data in natural language.
• Built a Retrieval-Augmented Generation system over a product catalog enabling natural language querying for product information with end-to-end retrieval latency under 15 seconds.
• Created a NetSuite Map/Reduce automation to reconcile item receipts with carrier billing data, reducing manual reconciliation effort and improving workflow efficiency by 20%.
• Developed an internal MCP server for Claude usage observability across 15-20 employees, logging interaction metadata, request metrics, and estimated token usage to support operational monitoring.

Responsible for optimizing SQL Server scripts, deploying database updates, and managing access permissions to support secure and efficient business operations.

• Optimized 2–3 SQL Server queries weekly, achieving up to 42% reduction in execution times, collaborating with the Senior DBA on ongoing performance tuning.
• Created stored procedures to detect log reader agent failures and partnered with the ESM team to integrate alerts into Nagios, improving replication visibility.
• Handled 20+ database operations including permission management, backups and UAT restores, stored procedure deployments across SYS/UAT/PROD, SSRS uploads, and automated tasks.

Tutored six different courses: Python, OOP, Data Structures, Discrete Math, Computer Architecture, and Design and Analysis of Algorithms.

• Assisting other tutors with help if needed.
• Providing support for students in core CS subjects, enhancing project completion rates and exam performance.

Assisted over 100 students in core computer science concepts such as Data Structures, Object-Oriented Programming (OOP), and Discrete Mathematics.

• Created examples for students to use and study for upcoming exams, improving their exam grades.
• Provided comprehensive help in various languages such as Python and Java, leading to better project scores.
• Tutored 4 different courses: OOP, Python, Data Structures, and Discrete Mathematics.