Jay Rajesh Munjapara

I am a Software Engineer with experience building full-stack, mobile, backend, data, and AI-powered applications. I enjoy turning complex problems into reliable, user-focused products using Python, TypeScript, React Native, FastAPI, Flask, AWS, SQL/NoSQL databases, and modern GenAI tools.

My work spans production-grade mobile apps, cloud-native data pipelines, AI/ML platforms, and scalable web systems. I focus on clean architecture, performance, automation, collaboration, and delivering measurable product impact.

Education

Skills

• Python
• Java
• SQL
• JavaScript
• TypeScript

• Flask
• Django
• FastAPI
• Node.js
• Express.js
• React Native
• Streamlit

• PostgreSQL
• MySQL
• MongoDB
• BigQuery
• Apache Spark
• Pandas
• NumPy

• TensorFlow
• Scikit-learn
• XGBoost
• Power BI
• Tableau
• Matplotlib
• Seaborn

• AWS (EC2, S3, Lambda, RDS)
• Docker
• Kubernetes
• GitHub Actions
• CI/CD
• Heroku

• Agile Development & Scrum
• CI/CD Pipelines

Experience

Projects

DevAssistAI

Tech Stack: FastAPI, Gemini API, LangChain, ChromaDB, Streamlit, AWS

Built a GenAI developer assistant using Gemini API, LangChain, and RAG to generate code, debug errors, explain snippets, answer document queries with ChromaDB, prompting, logging, monitoring, and FastAPI deployment.

GitHub

QueryNest

Tech Stack: FastAPI, ChromaDB, SQLite, Gemini API, Streamlit, Python

Built an AI-powered enterprise knowledge assistant using FastAPI, ChromaDB, Gemini API, and RAG to deliver grounded Q&A over documents, with chunking, embeddings, retrieval, and SQLite logging for latency monitoring.

GitHub

FlowOps

Tech Stack: Java, Spring Boot, Angular, Docker, Kafka, PostgreSQL

Developed a Java full-stack application using Spring Boot and Angular to automate approval workflows, containerize services with Docker, process real-time events with Kafka, and manage transactional data in PostgreSQL.

GitHub

ClinicConnect

Tech Stack: PHP, MySQL, HTML, CSS, JavaScript, jQuery, REST APIs

Built a PHP-based web application to translate software requirements into modules, maintain database-driven content, support MySQL-backed workflows, and integrate REST APIs, Ajax, and JSON for responsive user experiences.

GitHub

IngestEZ

Tech Stack: Python, AWS Lambda, S3, DynamoDB, API Gateway

Implemented a scalable serverless data pipeline using AWS Lambda, API Gateway, and DynamoDB to ingest and process JSON/CSV files, store data in S3, and enable cloud-native automation and monitoring via CloudWatch.

GitHub

UrRecalls

Tech Stack: React Native, TypeScript, Figma, DynamoDB, iOS, Android

Built a mobile-first product reporting application using React Native, TypeScript, and Figma to help consumers report to the FDA, reducing API calls by 30% through search and improving responsiveness with DynamoDB.

GitHub

AnimeRealm

Tech Stack: Flask, MySQL, Heroku, Docker, Git

Developed a scalable full-stack anime discovery platform, optimizing 100+ API calls via MySQL indexing and deploying a Dockerized Flask application on Heroku with automated updates, authentication, and PyTest unit tests.

Demo GitHub YouTube

Sparkle

Tech Stack: Python, Machine Learning, Assessment System, Analytics

Developed an ML-powered application to help parents screen children for learning disabilities using authentic assessments, generate progress analysis over time, and provide educational support tools for early intervention.

Demo GitHub

UNdisEASE

Tech Stack: Python, Flask, XGBoost, Bootstrap

Deployed a scalable ML-powered disease prediction application, achieving 85% accuracy on 100K+ records using XGBoost, streamlining diagnostic workflows by 60% through EHR-compliant data pipelines and a responsive UI.

Demo GitHub YouTube

YogAit

Tech Stack: Python, CNN, BlazePose, Computer Vision, Web App

Built a posture-detection web application using a CNN-based BlazePose model to plot body points during yoga poses and help users improve posture through an interactive virtual yoga experience platform online.

Demo GitHub

Air Quality Visualisation

Tech Stack: Flask, Streamlit, Mapbox, IQAir API

Crafted an interactive 3D air quality dashboard using IQair API, Streamlit, and Mapbox to visualize pollution trends across 4 cities from 200+ points, enabling real-time environmental analysis for public health insights.

Demo GitHub

LeetCode Live Stats

Embarking on my LeetCode journey, I'm eager to reinforce my understanding of Data Structures and Algorithms through problem-solving, sharpening my skills, and continuing to grow.

Interests

Outside of software engineering, I enjoy creative activities such as drawing, sketching, origami, and exploring new design ideas. These interests help me stay creative, detail-oriented, and open to different ways of solving problems.

I also value continuous learning, fitness, journaling, and reading about personal growth. These habits help me stay disciplined, reflective, and balanced while continuing to grow both personally and professionally.

Awards & Certifications

• 1^st Place - Ministry of Education of India - Smart India Hackathon 2022
• 1^st Place - University of Limerick, Ireland - Evathon 2021
• Secured position among the Top 25 - DevSoc BITS Goa - DevFest Hackathon 2021
• 2^nd Place - KJSIEIT, Mumbai - 'Shark Tank' at Renaissance 21-22
• Selected as one of the top 10 finalists - AMU Battlegrounds Hackathon 2021
• Secured Finalists position - JNU, Delhi - HackJNU 2.0 2021
• Received an invitation to take part in the "Pitch Cafe" start-up pitching show.


• Crash Course on Python - Google Certification (Coursera)
• Machine Learning for All - University of London Certification (Coursera)

Contact Me

Feel free to reach out to me for software engineering opportunities, collaborations, technical discussions, or networking.