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Ronak UserRU
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Ronak User

@ronakuser1

AI/ML engineer building LLM-powered, production-ready systems and scalable backends.

India
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What I'm looking for

I’m looking to build production-ready AI/ML and LLM systems—RAG, scalable backends, and well-documented APIs—with strong engineering practices (CI/CD, JWT/RBAC). I’m open to AI/ML, SWE, or Data Science roles where shipping matters.

I’m an AI/ML engineer with production experience in AI/ML systems, LLM-powered applications, and scalable backend development. I focus on shipping real, documented systems—not just prototypes—backed by strong CS fundamentals and hands-on engineering.

I’ve built 10+ end-to-end projects across computer vision, NLP, blockchain, and cloud-deployed APIs, including a production-deployed RAG LLM chatbot ingesting PDFs using Claude API + LangChain. My work is reflected in competitive results like Kaggle Rank 82 and being a Fractal Analytics Gen AI finalist and Scaler Ascent national finals finalist.

Alongside building reliable systems with FastAPI, Docker, and PostgreSQL, I’ve tackled scale and quality through CI/CD, prompt engineering to reduce hallucination, and production-focused practices like JWT/RBAC and OpenAPI/Swagger documentation. I’m open to AI/ML, SWE, and Data Science roles where I can continue building high-impact solutions.

Experience

Work history, roles, and key accomplishments

SU

B.Tech — Information Tech

SAKEC, Mumbai University

Nov 2022 - May 2026 (3 years 6 months)

Pursued B.Tech in Information Technology at SAKEC (Mumbai University). Completed ML projects including YOLOv8m-based computer vision with CI/CD and achieved 92% accuracy and strong performance metrics on product images.

Anthropic logoAN

Claude 101

Jan 2026 - Present (6 months)

Completed Claude 101 (Anthropic) in 2026.

SA

Scaler Ascent National Finals

Scaler Ascent

Jan 2026 - Present (6 months)

Reached Scaler Ascent national finals as a finalist.

HackerEarth logoHA

Defect Detection System

HackerEarth

Jan 2026 - Present (6 months)

Developed a defect detection store intelligence system using a CCTV/YOLO pipeline with a FastAPI backend.

Purplle logoPU

Purplle Tech Challenge

Purplle

Jan 2026 - Present (6 months)

Built a CCTV/YOLO defect detection pipeline with a FastAPI backend and a recall-optimised ensemble for binary defect classification.

Oracle logoOR

Oracle Data Platform

Jan 2025 - Present (1 year 6 months)

Completed Oracle Data Platform certification in 2025.

Oracle logoOR

Oracle Cloud Infrastructure

Jan 2025 - Present (1 year 6 months)

Completed Oracle Cloud Infrastructure Foundations certification in 2025.

AICTE EduSkills logoAE

AICTE EduSkills Cybersecurity

AICTE EduSkills

Jan 2024 - Present (2 years 6 months)

Completed AICTE EduSkills cybersecurity certification in 2024.

Fractal Analytics logoFA

Fractal Analytics Gen AI Finalist

Nationally recognized as a Gen AI finalist with Fractal Analytics.

IQ

IQiGai Interview Shortlist

IQiGai

Cleared Round 1 and Round 2 and was shortlisted for an IQiGai interview.

Kaggle logoKA

Kaggle Competition Rank

Kaggle

Achieved Kaggle Rank 82 as part of national-level recognition.

TA

Generative AI Analytics (Virtual)

Tata

Completed a Tata generative AI analytics program (virtual).

HuggingFace logoHU

SQL Query Grader

Implemented an SQL query grader deployed on HuggingFace Spaces with a reported score of 56.78%.

Education

Degrees, certifications, and relevant coursework

SA

SAKEC

Bachelor of Technology, Information Technology

2022 - 2026

Grade: 7.5 / 10

Activities and societies: Fake product identification (computer vision) with YOLOv8m/CNN/OpenCV/Python; CI/CD training pipeline via Makefile; algorithmic optimization for ~15% performance gain.

Pursuing a B.Tech in Information Technology (2022–2026) with CGPA 7.5/10. Completed work on fake product identification using computer vision (YOLOv8m/CNN/OpenCV) and built an automated Makefile CI training pipeline with ~15% performance gain via algorithmic optimization.

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