Hey, I’m
NISHAD KOLHE
Full Stack Developer with a passion for scalable systems and turning business goals into reliable technical solutions.
About Me
I am a Full Stack Developer with a strong foundation in Python, Java, Node.js and modern web technologies like Django, React, Flask, and Angular. With hands-on experience building scalable applications, designing REST APIs, and deploying full-stack solutions in Agile environments, I enjoy translating complex business needs into practical, high-performing systems. I have contributed to both startup and institutional projects, optimizing backend workflows, improving frontend responsiveness, and integrating cloud tools like AWS Lambda and Firebase.
Outside of work, I am a curious learner who enjoys breaking down problems and finding efficient, maintainable solutions. My academic journey from Electronics Engineering to a Master's in Information Systems has shaped my ability to adapt, collaborate, and build with purpose. Whether I am working on a live poll app, a machine learning-based tool, or a student management system, my focus is always on clean code, user-centric design, and meaningful outcomes.
Projects
JP MORGAN VIRTUAL SWE
Built a Spring Boot microservice with Apache Kafka, H2 SQL, and REST APIs to simulate scalable financial transaction processing, integrating asynchronous event-driven workflows and external incentive services for balance and transaction management.
Building this project gave me hands-on experience with event-driven microservice architecture using Spring Boot and Apache Kafka, integrating REST APIs with asynchronous transaction workflows, and designing scalable backend communication patterns. I also gained practical exposure to API integration, SQL persistence, and distributed system concepts used in financial transaction processing.
--
Click for more details and demo....
Loan Qualifier
Built a React + FastAPI AI application using Gemini Live API to evaluate mortgage eligibility from uploaded images and salary, providing real-time conversational feedback.
Building this project gave me hands-on experience with AI-powered full-stack application development using React and FastAPI, integrating the Gemini Live API for real-time conversational workflows and document-based eligibility analysis. I also gained practical exposure to prompt-driven user interactions, API orchestration, file handling, and designing responsive interfaces for dynamic AI-assisted decision-making.
Click for more details and demo....
Calm Care Health Application
Calm Care is a secure web platform for streamlining mental health & self-care, with React frontend, Django REST backend & JWT authentication, for a smooth/secure signup/login experience, & AI model to perform emotional text analysis and deliver personalized wellness tools.
Building this project gave me hands-on experience with secure full-stack development, integrating REST APIs with a dynamic frontend using JWT authentication, and implementing AI-powered analysis on the backend.I also learned deployment workflows for Render and Netlify, tackling database persistence, CORS issues, and environment configuration.
Authentication: Secure JWT-based signup and login with DRF.
ML Integration : XGBoost model for emotional text assessment.
Click for more details and demo....
Poll Application
Inspired by the need for real-time engagement tools, I built a poll application using the Django framework that allows users to vote and instantly see results. The system features user authentication, responsive design, and live vote updates using Django’s MTV structure and SQLite.
​
This project taught me how to manage user sessions, implement modular architecture, and build interactive platforms, a valuable skill in feedback-driven environments like education, product surveys, and live events.
Authentication: User login & session-based auth with Django
Responsiveness: Fully mobile-compatible with CSS media queries
Click for more details and demo....
Learning Management System
Wanting to replicate a practical student record system, I created an LMS using Django and SQLite with full CRUD capabilities. The platform allows admin-controlled management of student data, with a secure, scalable backend and Bootstrap-powered UI.
Through this project, I learned how to handle data models, admin authentication, and clean URL routing reflecting the technical backbone needed for EdTech and training-based platforms in academic and corporate setups.
CRUD Features: Full Create, Read, Update, Delete functionality
Authentication: Admin access secured through Django admin panel
Click for more details and demo....
Stress Prediction Application
With the rise in mental health awareness, I was inspired to build a tool that uses natural language processing to predict stress levels based on user input. The application is built using Flask microframework and classifies stress levels using a trained Bernoulli NB model to display results.
Building this end-to-end ML deployment game me an insight on how to process text data, train and evaluate models and integrate them with efficient API's. Lastly, the project mirros the kind of AI tools Health and HR platforms can include for valuable self assessment and early intervention.
Model Performance Metrics: 78%
API: Handles up to 1000 requests per minute with JSON response
Click for more details and demo....