Pavansai
Rangdal
B.Tech CSE (Data Science) graduate from KG Reddy College, Hyderabad. I build production-grade AI backends — multi-agent systems, RAG pipelines, MLOps infra, and agentic tools that actually ship. IEEE published. Two PyPI packages live.
What I Build With
LANGUAGES
FRAMEWORKS
DATABASES
TOOLS
CONCEPTS
FRONTEND
PROFESSIONAL SKILLS
Projects & Builds
From IEEE research to live PyPI packages — things I've shipped.
Task Orchestration System
A production-focused orchestration system built with FastAPI and PostgreSQL, packaged with Docker and deployed on Railway. Designed to coordinate backend tasks through a clean API-first workflow.
Multi-Agent Newsletter Generator
A Python-based newsletter generator using LangChain and ChromaDB to gather context, structure content, and produce multi-agent written output.
MCP-Project: README Upgrade Studio
AI-powered tool combining Model Context Protocol (MCP), Groq, and Streamlit to audit GitHub repos and generate structured README drafts. Includes repo analysis and documentation generation.
Work Experience
Backend Developer Intern
- ▸Built backend services and API workflows for AI-powered product experiences
- ▸Worked with Python-based services, integrations, and deployment-friendly delivery patterns
- ▸Collaborated with product and engineering teams on bug fixes, improvements, and release readiness
Full-Stack Developer Intern
- ▸Developed full-stack features for an HR-focused web platform
- ▸Handled frontend interfaces, backend logic, and data-connected workflows
- ▸Worked with REST APIs, database integration, and responsive UI delivery
B.Tech — CSE (Data Science)
Focused on Machine Learning, Data Science, and AI systems. IEEE paper accepted at ICFACT-2026. Developed two published PyPI packages and multiple production AI tools during the course of study.
Publications
AI-Enhanced Emoji Steganography
A multi-agent LLM framework for emoji steganography that combines AI coordination with AES-256 encryption for secure message handling.
Real-time Object Detection using MobileNet SSD
A published study on real-time object detection using MobileNet SSD, focused on practical computer vision performance.
Certifications & Learning
Generative AI with Large Language Models
Coursera / DeepLearning.AI
Jan 2024Machine Learning Specialization
Coursera / Stanford Online
Jun 2023Deep Learning Specialization
DeepLearning.AI
Mar 2024Ready to Build Together?
I'm actively looking for full-time engineering roles in AI/ML and backend development. If you're building something interesting, let's talk.