Humanshu Ise
Crafting Scalable Software Solutions
Overview
Social Links
About
- Dedicated Computer Engineering student at Pune Institute of Computer Technology (PICT), Pune, with a CGPA of 9.475/10.
- Specializing in full-stack development, real-time systems, and scalable backend architectures using tools like React, Node.js, FastAPI, and Docker.
- Upcoming Software Development Engineer (SDE-1) at Mastercard, with prior experience interning as a Software Engineer at MindStriX.
- I enjoy continuous learning—currently diving into Java and Spring Boot to expand my ability to build robust enterprise-level ecosystems!
- Active builder in the hackathon community; recently recognized as a National Finalist and Demo Dynamo awardee in Code with Cisco, and selected for the Mastercard Code for Change hackathon.
GitHub Contributions
Stack
Languages
Frontend
Backend
Database
Dev Tools
AI & Emerging Tech
Experience
- Working on full-stack development projects.
- Contributing to software engineering tasks in a remote environment.
- Full Stack Development
- React
- Node.js
- Remote Work
- Teamwork
- React
- Node.js
- Express.js
- PostgreSQL
- JSONB
- JWT
- RBAC
- System Architecture
Projects(5)
A comprehensive, schema-driven digital portal designed to streamline, manage, and seamlessly export institutional research data.
- Engineered a centralized dynamic form engine utilizing JSON schemas and PostgreSQL JSONB columns for data integrity.
- Implemented a dual-state submission matrix (Draft vs. Submitted) with secure Role-Based Access Control (RBAC) using JWT.
- Developed automated Excel export pipelines using SheetJS to map nested JSONB data directly to strict institutional compliance headers.
- Built real-time admin dashboards with Recharts for global data visualization and impact metric tracking.
- React
- Vite
- Tailwind CSS
- React Hook Form
- React Router
- Recharts
- Node.js
- Express
- PostgreSQL
- Prisma
- JWT
- SheetJS
A real-time collaborative whiteboarding platform enabling teams to brainstorm, communicate, and work synchronously across shared rooms.
- Engineered an interactive collaborative canvas using Fabric.js and Socket.IO with real-time drawing synchronization across connected users.
- Implemented room-based collaboration with real-time text and voice communication, supported by dedicated Socket.IO services and Redis Pub/Sub.
- Developed secure authentication using JWT, bcrypt, Passport.js, and Google OAuth, with MongoDB/Mongoose for persistent user and room data.
- Built a responsive React + TypeScript frontend with Zustand state management, Tailwind CSS, and Framer Motion, backed by documented Express.js REST APIs with Swagger UI.
- React
- Vite
- TypeScript
- Tailwind CSS
- Zustand
- Fabric.js
- Socket.IO
- Framer Motion
- Node.js
- Express
- MongoDB
- Mongoose
- Redis
- Passport.js
- JWT
- bcryptjs
- Swagger
A full-stack competitive coding platform enabling real-time head-to-head programming matches with AI-assisted learning and secure code execution.
- Engineered real-time matchmaking using Redis-backed queues and WebSockets, enabling live opponent pairing, match events, and persistent match-state recovery.
- Designed a decoupled FastAPI architecture with PostgreSQL and SQLAlchemy, separating core application services from a dedicated Judge Server for scalable code evaluation.
- Built a secure Docker-based execution engine to sandbox user-submitted Python and C++ code, execute test cases, and return outputs, errors, and timeout results.
- Integrated HintAI using Ollama to analyze submitted code and generate high-level contextual hints, alongside JWT authentication, Google OAuth2, and role-protected problem moderation.
- React
- React Router
- Axios
- Tailwind CSS
- Monaco Editor
- FastAPI
- SQLAlchemy
- PostgreSQL
- Pydantic
- JWT
- OAuth2
- WebSockets
- Redis
- Ollama
- Docker
Developed a fitness recommendation system generating personalized diet and workout plans based on user input parameters such as age, BMI, and fitness goals.
- Implemented machine learning algorithms to classify user fitness levels and suggest suitable routines.
- Built backend logic using Flask to handle user data processing and recommendation workflows.
- Python
- Flask
- Machine Learning
Education
Education
- C++
- Python
- Java
- JavaScript
- Data Structures and Algorithms
- Object-Oriented Programming
- Computer and Network Security
- Operating Systems
- Database Management Systems
- Software Engineering
- Cloud Computing
- Distributed Systems
- Data Science
- Machine Learning
- Blockchain Technology
- Artificial Intelligence
- Mathematics
- Physics
- Chemistry
- Computer Science
- Mathematics
- Science
- English