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Who I Am

Hey, I'm Rugved.
I ship code that counts.

B.E. IT Graduate (2026), Former Site Reliability Engineer & Intern at Smartborn Software Consulting (Vestas project), Former Associate Developer Intern at Idyllic Services, IEEE AIC 2026 Author. I build AI systems that work fast, clean, and production-ready.

B.E. IT · 2026 Graduate Former SRE @ Smartborn (Vestas) IEEE AIC Author 2026 Remote-ready CCAT AIR 308
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Booking time cut
2-3 hrs queue → 5 min online
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Students mentored
in competitive programming
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Live projects
deployed
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Years of
coding
Rugved Chandekar
Rugved Chandekar
AI/ML Engineer · Backend Engineer · Full Stack Dev
Bengaluru, Karnataka, India
Hackathon Winner LLM-based AI Resume Parser, Inter-college
IEEE Author (2026) Bayesian Deep Learning for Pneumonia
CCAT AIR 308 National CS Aptitude Exam
Community Lead (Hackslash) Mentored 300+ students, 5+ workshops
Former SRE @ Smartborn FastAPI, Qdrant, Ollama, Local LLMs

My Story

I grew up in Chhatrapati Sambhajinagar, a city that taught me early that if you want something, you build it yourself. I wasn't the kid who aced every test. I was below average in most subjects through middle school. But when I first saw a Java program run on a computer screen in 9th grade, something clicked that never unclicked.

Programming felt different from memorizing. It was logical. It rewarded thinking, not cramming. I got genuinely curious, and curiosity, I learned, is a far more reliable engine than fear of failure.

"Mathematics reveals its secrets only to those who approach it with pure love for its own beauty." Archimedes (a quote that runs my life)

That curiosity drove me from Java → Python → ML → AI systems at scale. From a below-average student to a person who now has submitted an IEEE paper, led a club of 300+ students, won a hackathon, and built production AI applications.

Academic Journey

The grades went up as the love for learning replaced the dread of exams.

Ryan International School · ICSE, 10th Grade
Chhatrapati Sambhajinagar · 2020
84.20%
Mallik Junior College · HSC, 12th Grade
PCM with Computer Science · 2022
87.17%
B.E. Information Technology
Govt. Engineering College, Chhatrapati Sambhajinagar · 2022 - 2026
Graduated · CGPA: 7.38

The math I learned in 11th and 12th (calculus, linear algebra, and probability) became the literal foundation for every ML model I've built since. I wish someone had told me that then.

Skills Snapshot

Python & AI/ML (RAG, LLMs, PyTorch)92%
Full-Stack Web (Flask, React, Node)88%
AWS (ECS, Bedrock, OpenSearch, Lambda)80%
Data Structures & Algorithms85%
SQL, MySQL, REST APIs83%

Interests & What Drives Me

I spend time on things I'm genuinely curious about · not because they're on a syllabus. My rabbit holes usually end up becoming useful skills.

LLMs & Agents Bayesian Methods System Design Math for ML DSA Competitions Technical Writing Cloud Architecture Open Source

Core Values

Radical Transparency
I tell you what's realistic before I start, not after delivery surprises you.
Ship Fast, Fix Faster
A working V1 beats a perfect V0 every time. I iterate, I don't overplan.
Genuine Effort
Your first project shouldn't feel like you're onboarding a stranger. I treat it like it's mine.
Fair Pricing
Price that matches quality and your stage · not an agency's overhead.

What I'm Currently Working On

Having graduated with my B.E. in Information Technology, I build production RAG pipelines, agentic systems, and LLM-based tools that run on AWS and Azure at scale. I am actively seeking full-time engineering opportunities while taking on selective freelance AI/web projects.

Why websites first? Because trust is sequential. You hire someone new for the cleaner job before you hand them the keys to your whole house. I earn trust with reliable web delivery, then unlock the AI layer for clients who want that edge.

Current service focus
Websites, landing pages, booking systems
Full-stack web apps, REST APIs, automation
AI/ML solutions, RAG pipelines, LLM tools

What I'm Best At

AI Systems Engineering

Production RAG pipelines, agentic orchestration, LLM routing, and token-efficient prompt engineering. Built and shipped at scale on AWS.

Backend & API Architecture

Flask REST APIs, ACID-safe database design, async orchestration, and Docker-based deployments. Systems designed for failure cases, not happy paths.

Practical Deployment & Shipping

From notebook to production. AWS ECS Fargate, Docker Compose, Nginx, Linux VPS. 10+ production deployments with real users and real uptime requirements.

Currently Open To

AI/ML engineering roles Full-time or internship positions in AI/ML, LLM systems, or backend engineering
Backend engineering roles Python backend, REST APIs, cloud infrastructure, and production systems
Selective freelance projects RAG pipelines, agentic AI systems, full-stack apps, and automation workflows
Research collaborations Applied AI, Bayesian methods, and production ML systems research

Ready to build something together?

Fast turnaround · Honest scoping · No ghosting after delivery. Let's talk about your project.