---
title: "Rugved Chandekar - Site Reliability Engineer in Bengaluru | Tal"
description: "Meet Rugved Chandekar, Site Reliability Engineer | AI/ML Engineer | LLMs · RAG · LangGraph · LangChain · FastAPI · Azure | Reduced LLM Token Usage by 99% based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity. Explore public work links including github, medium, and leetcode."
image: "https://tal.club/meet/rugved-chandekar/share-image"
---

# Rugved Chandekar on Tal

## Headline

Site Reliability Engineer \| AI/ML Engineer \| LLMs · RAG · LangGraph · LangChain · FastAPI · Azure \| Reduced LLM Token Usage by 99%

## About

I'm a Site Reliability Engineer at Smartborn Software Consulting and an AI/ML Engineer with a track record of building production systems that have measurable impact\. My focus is writing clean, high\-throughput code that handles complex, real\-world data processing without inflating infrastructure costs\. During my recent engineering tenure, I designed end\-to\-end AI automation workflows, including a custom semantic caching and vector search layer that reduced LLM token usage by 99% and accelerated API response times by 10x across 15,000\+ candidate profiles\. I excel at taking raw machine learning theories and deploying them as containerized, production\-ready microservices\. Core Technical Competencies: • Backend Engineering: Python, FastAPI, Flask, REST APIs, Nginx, Linux Systems, Git • AI & Data Architecture: LLMs, Advanced RAG, LangChain, LangGraph, Qdrant, OpenSearch • Cloud & DevOps: AWS \(EC2, ECS, S3, Bedrock\), Docker, Automated CI/CD Workflows • Specialized Integrations: Claude API, Model Context Protocol \(MCP\), deep learning architectures \(IEEE submission\) I focus on building stable, scalable applications that solve actual system bottlenecks\. Always open to discussing system design, backend architectures, or open\-source software tools\. Let's connect\!

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

claude

codex

## Work experience

Site Reliability Engineer at SMARTBORN \- CMMI Level 3 Company, Aug 2026 \- Sep 2026 · 1 mo, Bangalore, Working as Site Reliability Engineer on an Azure\-based ML forecasting platform for weather and power prediction in the wind energy domain\. • Investigate and resolve production incidents and contribute to wind\-farm platform onboarding • Analyze production issues using application logs and PostgreSQL databases • Build Agentic AI workflows using LangGraph and Azure AI Foundry for operational automation • Work with Azure Service Bus for event\-driven multi\-agent communication and incident handling

Intern \( AI and Backend\) at SMARTBORN \- CMMI Level 3 Company, Jul 2026 \- Jul 2026 · 1 mo, Built an offline AI Policy Assistant — a fully local, privacy\-first RAG system with attribute\-based access control\. • Reduced database query latency by 99\.89% \(73\.7s → 79ms\) by building a semantic intent router that detects query type and routes to the fastest optimized handler • Implemented attribute\-based access control \(ABAC\) for role and demographic\-based policy document access restrictions • Built the full RAG pipeline using FastAPI, Qdrant, SQLite, SentenceTransformers, and Ollama with local Llama/Qwen models \- fully offline, zero cloud dependency • Optimized document retrieval using semantic caching, smart chunking, and prompt optimization techniques

Associate Developer Intern at Idyllic Services, Jan 2026 \- Jun 2026 · 6 mos, Chhatrapati Sambhajinagar, Maharashtra, India, Built production AI systems for JD\-driven candidate sourcing and AI\-proctored interview automation\. • Reduced LLM token usage by 99% \(200K → 5K tokens per iteration\) by eliminating LLMs from loops and using targeted vector retrieval with semantic caching • Improved API throughput 10x \(6 min → 90 sec per pipeline run\) through async orchestration and batched processing • Indexed 15,000\+ candidate profiles in Qdrant and built a JD\-to\-candidate matching pipeline using GPT and vector similarity search • Developed an AI\-proctored interview platform with real\-time speech\-to\-text, text\-to\-speech, and face detection • Built REST APIs using FastAPI for backend integration of all AI processing pipelines

## Education

Bachelor of Technology \- BTech, Information Technology, Government College of Engineering Aurangabad

HSC, Mallik junior college

## Public links

- github: https://github\.com/Rugvedrc
- medium: https://medium\.com/@Rugvedchandekar
- leetcode: https://leetcode\.com/rugvedrc
- rugved\.me: https://rugved\.me/

[View the original profile](https://tal.club/meet/rugved-chandekar)

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