Mid-Level Software Engineer specializing in AI automation and full-stack systems
Software Engineer – AI & LMS Systems4 years experienceMid-LevelEducationEdTechFinTech
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About
Software engineer and University of Chicago graduate teaching assistant who built a full-stack internal analytics dashboard (React/TypeScript + Node/Express) and worked in RabbitMQ-based microservices with Prometheus/Grafana observability. Also created an AI-powered ERD diagram generator (React + MermaidJS + OpenAI) adopted by students to save hours on database assignments, using validation loops to ensure valid Mermaid output.
Experience
Software Engineer – AI & LMS SystemsIllinois Works (Northern Illinois University)
Graduate Teaching & Research AssistantUniversity of Illinois Chicago
Software Engineer I (C++/ C# Developer)NCR Corporation
Education
University of Illinois Chicagomaster, Computer Science (2025)
Jawaharlal Nehru Technological Universitybachelor, Computer Science and Engineering (2021)
Key Strengths
Designed full-stack analytics dashboard with modular React/TypeScript frontend and service-layer Node/Express backend
Performance optimization: reduced perceived load times by >50% via server-side pagination/filters plus React Query caching/prefetching
Implemented end-to-end type safety by sharing TypeScript types and adding Zod validation at API boundaries
Microservices/event-driven design using RabbitMQ; addressed duplication with idempotency keys and improved observability with Prometheus/Grafana
Built and drove adoption of an AI-based ERD generator for a university database course; demo-led rollout and addressed cheating concerns with faculty
Structured iteration and support using Agile practices (2-week sprints, t-shirt sizing, SLA-based prioritization) in a customer-facing support context
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