Jayesh Waghmare

Full Stack Developer ML Enthusiast Open Source Contributor

I build production-ready full-stack apps and AI-powered platforms using React, Node.js, FastAPI, and AWS. From RAG systems and ML pipelines to real-time apps, I love turning ideas into impactful products.

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About Me

I'm a Full Stack Developer and ML Enthusiast pursuing B.Tech in Computer Science at NIT Goa (CGPA: 9.01). I build scalable web apps and AI-powered platforms using React, Next.js, Node.js, FastAPI, AWS, and Docker — from RAG-based document intelligence systems to real-time apps and ML pipelines like recommendation engines and fraud detection.

During my internship at Databrewery.ai, I improved API performance by 30% and reduced invalid submissions by 60%. Outside work, I lead web development at GDGoC NIT Goa, contribute to open source, and stay current with GenAI and LLMs.

Education
My academic background and achievements

Bachelor of Technology in Computer Science and Engineering

National Institute of Technology, Goa (NIT GOA)
2023-2027

Work Experience

Professional experience and contributions

Full Stack Developer Intern

Renan - Databrewery.ai
  • • Built a React.js onboarding page with search and real-time validation, increasing sign-up completion by 20%
  • • Refactored API mount/unmount logic in 15+ React components, reducing API calls and improving performance by 30%
  • • Developed a work history page using React.js and Django, allowing users and admins to view records for 1000+ users
  • • Implemented audio playback verification and language validation for transcriptions using Django, reducing invalid annotation submissions by 60%
Nov 2025 – Apr 2026

Projects

Some of my recent work
QuestrionAI
QuestrionAI
A RAG-powered platform that lets users upload PDFs, extract content, and chat with documents using conversational AI. It retrieves relevant information from a vector database to provide accurate, context-aware answers and smart suggestions.
React.js
FastAPI
Python
OpenAI Embeddings
QdrantDB
Clerk
Nginx
Docker
AWS EC2
Live DemoCode
Full-stack AI SaaS Website
Full-stack AI SaaS Website
An AI productivity platform for generating articles, creating images, reviewing resumes, and managing content through a unified dashboard with secure authentication and AI-powered tools.
React.js
Express
Node.js
PostgreSQL
Neon
AI APIs
Live DemoCode
Movie Recommender System
Movie Recommender System
A content-based movie recommendation engine using cosine similarity and text vectorization to suggest similar movies based on genres, keywords, cast, crew, and overview features, deployed with Streamlit.
Python
Machine Learning
Pandas
Scikit-learn
CountVectorizer
Cosine Similarity
Streamlit
Live DemoCode

Skills

Technologies and tools I work with

Programming Languages

C++CJavaScriptTypeScriptPython

Frontend

React.jsNext.jsHTMLCSSTailwind CSSShadCN

Backend

Node.jsExpress.jsRESTful APIsFastAPI

Databases

MongoDBMySQLPostgreSQLQdrantDB

LLM API Platforms and Frameworks

OpenAIGeminiLangChainRAG

Tools & Technologies

GitGitHubAWSNginxDockerVS CodeLinuxSocket.IOStripe APIClerk AuthStreamlitViteCI/CDJupyter Notebook

Machine Learning

EmbeddingsContent-Based FilteringPandasNumPyScikit-learnTensorFlow

Core CS Concepts & Coursework

Data Structures and AlgorithmsObject-Oriented Programming (OOP)Database Management Systems (DBMS)

Coding Profiles

Check out my activity on coding platform

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LeetCode

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Achievements

Competitive programming and hackathon accomplishments

  • • Solved 500+ coding problems and achieved a LeetCode rating of 1473
  • • Secured Prelims Rank 1897 out of 18,000 participants in CodeFest'25 by IICPC
  • • Ranked 647 out of 60,000 participants in GSSoC-EXT'24 for consistent open-source contributions
  • • Shortlisted in the internal selection round for Smart India Hackathon (SIH'24 & SIH'25)

Get in touch

Please contact me directly at my e-mail or through this form below.

© 2026 Jayesh Waghmare. All rights reserved.