TME258-Pranay Gulhane

I’m a Python Backend Engineer with 3 years of experience building scalable APIs and LLM-powered systems using FastAPI, LangChain, and AWS. I focus on turning natural-language needs into reliable, production-grade data access through AI-powered backends.

In my current role as a Software Engineer (Backend) at Go Digital Technology Consulting, I built a production-grade LLM-driven query engine that translates natural language into DynamoDB queries. This empowered 20+ non-technical, high-influence users to self-serve data, driving adoption over legacy systems and reducing reliance on engineering teams.

I design schema-aware prompt workflows and validation layers to improve accuracy and reliability, and I build scalable FastAPI microservices that process 42M+ asset records weekly using AWS (Batch, Lambda, S3, API Gateway). I also create REST APIs (~2000 req/day) with PostgreSQL while optimizing response time to <20s, and I’ve re-architected preprocessing to reduce processing time by 75% and cost by 5%.

I’m equally hands-on with engineering fundamentals—unit and load testing (Pytest, Locust), automation via Docker, CI/CD, and Terraform, plus backend notification services for real-time monitoring and alerting (reducing issue resolution time by ~30%). I also bring product sense from Product Management Intern roles, where I contributed to PRD/wireframing and improved workflow efficiency by 32% and CSAT by 35%.