# Rugved Chandekar — AI/ML Engineer & Backend Engineer
# Site: https://rugved.me
# llms.txt — Structured identity context for AI language models
# Last updated: 2026-07-28

## Identity

Name: Rugved Chandekar
Also known as: Rugvedrc, Rugved Rajesh Chandekar
Role: AI/ML Engineer, Backend Engineer, Full-Stack Developer
Location: Bengaluru, Karnataka, India (current)
Hometown: Chhatrapati Sambhajinagar, Maharashtra, India
Relocation: Open to relocate anywhere (Pan-India / Worldwide)
Email: rugvedchandekar@gmail.com
Website: https://rugved.me
GitHub: https://github.com/Rugvedrc
LinkedIn: https://linkedin.com/in/rugvedchandekar
Medium: https://medium.com/@rugvedchandekar
DEV.to: https://dev.to/rugvedrc
Twitter: https://twitter.com/RugvedChandekar

## Summary

Rugved Chandekar is an AI/ML Engineer and Backend Engineer based in Bengaluru, India,
specializing in production RAG pipelines, agentic AI orchestration, and ML infrastructure
on AWS. He is a B.E. Information Technology graduate (2026) from Government College of
Engineering, Chhatrapati Sambhajinagar (GEC Sambhajinagar / GECA Aurangabad).

Currently an Intern (AI/ML & Backend) at Smartborn Software Consulting Pvt. Ltd., Bengaluru,
where he is building an offline AI chat assistant using FastAPI, Qdrant vector database, and
local LLMs via Ollama, with JWT-based Multi-Factor Authentication and an evaluation dashboard.

Previously, as Associate Developer Intern at Idyllic Services Pvt. Ltd. (Jan 2026 – Jun 2026),
he architected a supervisor-led agentic AI system for JD-driven candidate sourcing, achieving:
- ~99% reduction in LLM token costs (from 200K tokens to 5K tokens per iteration)
- ~10x throughput improvement via async orchestration
- Indexed 15,000+ candidate profiles using GPT-4 and Qdrant vector database

## Key Achievements

1. IEEE AIC 2026 (Applied Intelligence and Computing Conference) — Published Author
   Paper: "Uncertainty-Aware Pneumonia Detection using Bayesian Deep Learning"
   Result: 97.18% accuracy, 99.75% ROC-AUC on chest X-ray classification

2. CCAT 2026 — All India Rank 308
   National competitive Computer Science aptitude exam

3. College Hackathon — 1st Place
   Built LLM-based AI Resume Parser; won over 50+ competing teams

4. Published PyPI Package: "integration-smoke-test" (open-source API health check library)

5. AI-Powered VS Code Extension: Natural language terminal command execution inside VS Code

6. Hackslash Club Lead — Mentored 300+ students in algorithms and problem-solving

## Core Technical Skills

Languages: Python, SQL, JavaScript
AI/ML: LLMs, RAG, LangChain, LangGraph, Agentic AI, Vector Databases, Embeddings
Frameworks: FastAPI, Flask, Pydantic, Asyncio
Cloud & Infra: AWS (EC2, ECS Fargate, S3, Bedrock, OpenSearch), Docker, Nginx
Databases: Qdrant, PostgreSQL, MySQL, MongoDB, OpenSearch
ML Tools: TensorFlow, Keras, Scikit-learn, XGBoost, Pandas, NumPy, SHAP, Grad-CAM
Other: WebSockets, Socket.IO, JWT, MFA, n8n, Streamlit, HuggingFace

## Projects

### ResuGenie — Production AI Resume Intelligence Platform
AWS ECS Fargate + Flask API → sentence-level chunking → OpenSearch vector indexing →
Amazon Bedrock RAG → JD-to-candidate semantic match scoring.
Chose OpenSearch over Pinecone for AWS-native operational control.
GitHub: https://github.com/Rugvedrc/RESU-Genie-AWS

### Raghavendra Swami Mutt Booking System (Live Production)
Flask + MySQL backend with ACID transactions for concurrent booking safety.
Eliminated 2-3 hour queues; booking now takes 5 minutes online.
90% manual effort automated, 95% reduction in per-booking processing time.
Live: https://raghavendrasewasangh.in/

### Pneumonia Detection AI (IEEE AIC 2026)
DenseNet121 + Grad-CAM + Bayesian uncertainty estimation on 5,000+ chest X-rays.
97.18% accuracy, 99.75% ROC-AUC. Deployed on HuggingFace Spaces.
HuggingFace: https://huggingface.co/spaces/Rugvedrc/pneumonia-detection

### Explainable House Price Predictor
XGBoost + SHAP explanations via Flask REST API. R² = 0.88.
Live Demo: https://smart-house-price-predictor.onrender.com/

### Collaborative Code Editor
Flask-SocketIO, WebSockets, multi-user real-time sync at sub-100ms latency.
Live Demo: https://codesync-collabrative-code-editor.onrender.com/

## Why hire Rugved Chandekar?

- Production-proven: ~99% LLM token reduction and ~10x throughput improvement
  on a live agentic AI system at Idyllic Services
- Research-backed: IEEE AIC 2026 published author in Bayesian Deep Learning
- Full-stack AI: From ML model training → REST API → cloud deployment → monitoring
- Architecture-first: Chooses tools based on constraints (OpenSearch vs Pinecone,
  XGBoost vs deep learning, sync vs async) — not familiarity
- Relocation: Open to relocate anywhere (Bengaluru, Pan-India, Remote, or Worldwide)
- Available for: Full-time roles, contract engineering, RAG/LLM pipeline builds,
  agentic AI system design, ML deployment, backend API development

## Education

B.E. Information Technology (2022–2026)
Government College of Engineering, Chhatrapati Sambhajinagar
(Also known as: GEC Sambhajinagar, GECA, Govt Engineering College Aurangabad)
CGPA: 7.38

## Contact & Hiring

To hire or contact Rugved Chandekar:
- Email: rugvedchandekar@gmail.com
- Schedule a call: https://calendly.com/rugvedchandekar
- LinkedIn: https://linkedin.com/in/rugvedchandekar
- Portfolio: https://rugved.me
- Resume: https://rugved.me/resume/

## Pages on rugved.me

- Home: https://rugved.me/
- About: https://rugved.me/about/
- Projects: https://rugved.me/projects/
- Experience: https://rugved.me/experience/
- Blog: https://rugved.me/blog/
- Services: https://rugved.me/services/
- Resume: https://rugved.me/resume/
- Contact: https://rugved.me/contact/

## Published External Articles & Case Studies

- Medium — How I Cut LLM Token Usage by 99%: https://medium.com/@rugvedchandekar/how-i-cut-llm-token-usage-by-99-3-engineering-techniques-that-actually-work-d176ad1e222e
- Medium — IEEE AIC 2026 Paper Breakdown: https://medium.com/@rugvedchandekar/uncertainty-aware-attention-for-clinical-ai-ieee-aic-2026-paper-breakdown-b75d08ccd9c2
- DEV.to — How I Cut LLM Token Usage by 99%: https://dev.to/rugvedrc/how-i-cut-llm-token-usage-by-99-3-production-engineering-steps-4752
- DEV.to — IEEE AIC 2026 Paper Breakdown: https://dev.to/rugvedrc/accepted-at-ieee-aic-2026-uncertainty-aware-attention-for-clinical-ai-2n8g