Yash Bhalgat

Full Stack Software Developer

Riverside, US.

About

Versatile Software Developer with a Master's in Computer Science, specializing in full-stack development, system optimization, and machine learning applications. Proven ability to deliver high-impact solutions, including reducing reimbursement wait times from 48 to 8 hours at Bajaj Finserv Health and boosting user engagement by 30% at Mainstreet Marketplace. Eager to leverage expertise in React, Node.js, Python, and scalable microservices to drive innovation in challenging software development roles.

Work

Bajaj Finserv Health

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React Developer Intern

Pune, Maharashtra, India

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Summary

As a React Developer Intern, I developed a QR code-based health plan payment gateway and a modular Electronic Medical Record system, significantly reducing reimbursement wait times and optimizing codebase efficiency.

Highlights

Developed a QR code-based health plan payment gateway using React, Redux, and RESTful APIs, improving secure payment flows and reducing reimbursement wait times from 48 hours to 8 hours.

Engineered a modular Electronic Medical Record (EMR) system with React functional components, Hooks, and Context API, implementing responsive design and REST API integration for patient demographics, history, and scheduling.

Refactored the portal using a modular React architecture with Redux and middleware (Redux Thunk/Saga) for async workflows, leveraging code splitting and dependency pruning to reduce codebase size by 20%.

Vidyo AI

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Software Engineer Intern

Bangalore, Karnataka, India

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Summary

As a Software Engineer Intern, I spearheaded the development of a real-time content discovery engine and a web-based video editing tool, accelerating frame-level processing and enhancing system scalability.

Highlights

Spearheaded development of a real-time content discovery engine using a microservices architecture (Node.js/Express, React/Redux) and integrated third-party trend analytics APIs with Redis caching for near-real-time topic recommendations; deployed containerized services via Docker & Kubernetes.

Engineered a web-based video editing tool using Vue.js with Vuex and integrated WebAssembly modules to accelerate frame-level processing from 1 second to 250 milliseconds, enabling dynamic templating.

Implemented Web Workers for offloading intensive computations and integrated FFmpeg pipelines for media processing, significantly optimizing system performance.

Mainstreet Marketplace

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Software Engineer Intern

Mumbai, Maharashtra, India

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Summary

As a Software Engineer Intern, I developed and deployed a production-grade recommendation system and scalable microservices, significantly boosting user engagement and creating new revenue streams.

Highlights

Developed and deployed a production-grade recommendation system using collaborative filtering (matrix factorization), content-based filtering (TF-IDF, cosine similarity), and hybrid ensemble models.

Leveraged Python (scikit-learn, Pandas) and integrated these models into RESTful microservices deployed on AWS, boosting user engagement and conversion rates by 30%.

Developed RESTful microservices in Golang with Echo, interfacing with PostgreSQL and MongoDB to reduce response times and enhance scalability to support independent seller listings.

Integrated secure authentication (JWT) and real-time data synchronization using WebSockets, creating a new revenue stream by increasing product listings and sales margins without additional inventory investment.

Education

University Of California, Riverside

Riverside, CA, United States of America
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Masters of Science Computer Science Grade: 3.76/4

Pune Institute of Computer Technology

Pune, Maharashtra, India
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Bachelor of Engineering Computer Engineering Grade: 9.2/10

Languages

English

Skills

Programming Languages

C++, Python, JavaScript, TypeScript, Golang.

Frameworks / Libraries

React.js, Next.js, Express.js, Angular, Django, Vue.js, Redux, Vite, Tailwind CSS, PyTorch, Pandas, NumPy, scikit-learn.

Databases & Backend Technologies

SQL, MongoDB, PostgreSQL, Firebase, Node.js, Supabase, Redis.

Cloud & DevOps

AWS (S3, EC2, DynamoDB), Docker, Kubernetes, Azure, CI/CD.

Tools & Methodologies

Figma, Git, GitHub, RESTful APIs, Agile SDLC, Scrum, Jira, WebSockets, JWT.

Web Development

Full Stack Development, Frontend Development, Backend Development, Responsive Design, WebAssembly, Microservices Architecture.

Machine Learning & AI

Collaborative Filtering, Content-Based Filtering, Hybrid Ensemble Models, Rainbow DQN, Prioritized Experience Replay, LLM Integration, OpenAI API.

System Optimization

Performance Optimization, Scalability, Real-time Systems, Code Splitting, Dependency Pruning, Web Workers, FFmpeg Pipelines.

Projects

BYOB: Bring Your Own Browser

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Summary

A Python tool that integrates web search capabilities with an LLM, using Google's Custom Search API to get relevant results, build a search dictionary, and generate a RAG response using OpenAI API.

RainbowDQN

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Summary

Implemented a Rainbow DQN for CS 258 with Prioritized Experience Replay for Atari games (Space Invaders, CartPole), achieving more efficient learning, faster convergence, and higher performance than traditional DQN.

Markdown Preview

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Summary

A modern Markdown Editor that lets you write, preview, and share your markdown documents in real time. Our app offers a seamless writing experience with auto-saving, dark/light themes, and robust community features.

Frame Generator

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Summary

Full-stack web application using React, TypeScript, Tailwind CSS, Supabase, and Stripe that enables users to create and download custom LinkedIn profile frames with live preview, secure authentication, and integrated payments.