Ronik
Dedhia

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Shipping full-stack products, LLM pipelines, and production AI.

Full-Stack Engineer & AI Builder

Ronik Dedhia
Mumbai, India
SDE I · FlexiLoans
+91 81049 40424
ronikdedhia@gmail.com

SDE I at FlexiLoans, Mumbai — building production fintech systems and AI-powered side projects. I care about the full stack: from tight React UIs to NestJS backends to LLM pipelines that actually ship.

Outside work I explore RAG, vector search, and computer vision — two of those projects ended up in IEEE and IJSRCSEIT journals. I build things until they work, then make them fast.

Star Performer Award RBAC system design across internal dashboard and LOS
IEEE Published Researcher Computer vision — yoga pose estimation & ASL recognition
9.26 CGPA — Distinction B.Tech IT, DJSCE University of Mumbai
GenAI Stack Builder RAG pipelines, LLM orchestration, vector search, NLP systems

What I've Built

Daily Bytes

AI news aggregator with multi-stage GROQ pipeline — summarization, sentiment, NER, bias detection, personalized feed ranking, TTS briefing, and SendGrid keyword alerts.

Next.js 14Node.jsDrizzle ORMGroqElevenLabsUpstash

YogaPedia IEEE Published

Real-time yoga pose detection — classifies 26 asanas at 90%+ accuracy using BlazePose & Keras with personalized posture correction feedback. IEEE published.

PythonTensorFlowKerasMediaPipeOpenCVDjango

MessageMate Published

Bidirectional ASL recognition & generation — 92% accuracy with ResNet & YOLOv5, NLP text-to-sign conversion across 200+ signs.

YOLOv5ResNet-50OpenCVNLTKDjangoReact

Where I've Worked

FlexiLoans Epimoney Pvt Ltd

Software Development Engineer I
July 2024 – Present Mumbai, India
₹60Cr+ Incremental Disbursements
40K Deviations / Month
65% Fraud Reduction
1L+ Monthly Notifications
  • Drove ₹60Cr+ disbursements via EMI-cycle shift (₹40Cr) and co-lender onboarding — Synoric, ABFL, Slice (₹20Cr); owned end-to-end LOS delivery.
  • Star Performer — designed RBAC across dashboard and LOS; built deviation dashboard (40K/month); OCR-powered KYC and OTP-based MFA.
  • Revamped CIBIL, BRE, GST, EMI, Bank Statement pages in React; integrated Fyno, SendGrid, WhatsApp — 98% delivery across 1L+ notifications.
  • Fraud-check APIs cut approvals by 65%; microservice consolidation reduced AWS + MongoDB costs 20%; led DR cutting RTO by 35%.
Next.jsNestJSReactAngular TypeScriptNode.jsMongoDBRedis AWSDockerDatadog

Academic Background

Dwarkadas J. Sanghvi College of Engineering

University of Mumbai
2024
B.Tech in Information Technology (Hons.)
9.26 / 10 CGPA
Distinction Grade
June 2024 Graduated
IEEE published research · 2 peer-reviewed papers

Shri Bhagubhai Mafatlal Polytechnic

State Board of Technical Education
2021
Diploma in Information Technology
9.68 / 10 CGPA
Distinction Grade
Aug 2021 Graduated
Foundation in systems, networking & software engineering
Technologies I work with
React.jsNext.js 14Angular 18TypeScript Tailwind CSSNestJSNode.jsExpress.js FastAPIGraphQLREST APIsHTML5 React.jsNext.js 14Angular 18TypeScript Tailwind CSSNestJSNode.jsExpress.js FastAPIGraphQLREST APIsHTML5
GroqLangChainRAGLLMs TensorFlowKerasOpenCVYOLOv5 MongoDBRedisPostgreSQLQdrant AWSDockerJenkinsDatadog GroqLangChainRAGLLMs TensorFlowKerasOpenCVYOLOv5 MongoDBRedisPostgreSQLQdrant AWSDockerJenkinsDatadog

Publications

IEEE

Individualized Guidance in Yoga Practice

Research on real-time yoga pose estimation using MediaPipe BlazePose with TensorFlow/Keras. Classifies 26 asanas at 90%+ precision with personalized feedback engine improving posture correction accuracy by 30%.

Computer Vision Pose Estimation Deep Learning Healthcare AI
View Paper
IJSRCSEIT

American Sign Language Recognition & Generation

End-to-end bidirectional ASL platform using ResNet-50 & YOLOv5 for recognition with NLP-driven text-to-sign generation via Blender animations. Achieves 92% recognition accuracy, reducing translation time by 25%.

Computer Vision NLP Accessibility Deep Learning
View Paper

Let's Build Something

Open to full-time opportunities, freelance projects, and collaborations in full-stack engineering and AI/ML development. Based in Mumbai — open to remote.