Headline

AI/ML Enthusiast | LLM & RAG Applications | FastAPI Backend | CSSE Final Year Student

Location

Bengaluru

AI stack

claude code

cursor

github copilot

lovable

mistral

n8n

Work experience

Software Developer Intern at Enercent Technologies, Jun 2026 - Aug 2026 · 2 mo, Bengaluru, Designed and deployed an end-to-end n8n automation pipeline (Monthly Production Release Notes) that pulls closed bug/task tickets from Azure DevOps via Google Sheets, generates an AI-written executive summary using an LLM, and auto-distributes a formatted HTML report to senior management every release cycle. Built a dynamic report-generation engine that groups tickets by team, platform, and version; computes real-time analytics (bug/task/priority breakdowns, ticket counts); and renders a class-based, Gmail-clipping-safe HTML template with linked Azure work-item IDs. Engineered a second automation (Monthly Employee Performance Report) that aggregates per-developer ticket data from Google Sheets, computes a weighted performance score based on ticket type and priority, and generates individual AI-written performance summaries and a ranked leaderboard emailed directly to the reporting manager. Implemented configurable control logic across both pipelines, including an AI/manual summary toggle and environment-based recipient routing (testing vs. live), improving reliability and operational flexibility of the automated reporting system. Authored a technical proposal to migrate the EV charging platform from a monolithic architecture (Rails backend + Python OCPP service with disparate auth) to a distributed microservices architecture behind a Kong API Gateway, introducing JWT-based authentication (via devise-jwt) and Apache Kafka as an event-streaming backbone across the Primary API Backend, CMS (OCPP), and a new Analytics microservice.

Software developer intern at Algae Services, May 2025 - Jul 2025 · 2 mo, Bengaluru, Developed an AI-powered chatbot at TVS Motors that translates natural language queries into SQL to fetch dealer-specific insights from the TVS Dealership Management System (DMS) database. The system integrates FastAPI, PyODBC, and MS SQL Server with Angular for the frontend, leveraging Transformers and Torch models for intent understanding, resulting in improved query efficiency.

Education

Bachelor of Technology, Computer Science, Kalinga Institute of Industrial Technology, Bhubaneswar

Senior Secondary Education, Narayana pu college

Public links

github: https://github.com/GitPranav04

portfolio-pranavkr.vercel.app: https://portfolio-pranavkr.vercel.app/