Jainish Parekh
Software Engineer and M.Sc. student in AI for Industrial Applications at OTH Amberg-Weiden. Building full-stack SaaS platforms, real-time data systems, and applied machine learning solutions — with hands-on experience in React, Node.js, Python, and deep learning.
Engineering at the
intersection of software & AI.
I'm a results-driven Software Engineer with over a year of professional experience building and optimising B2B SaaS platforms using React, Node.js, and TypeScript. Currently pursuing my Master's in AI for Industrial Applications at OTH Amberg-Weiden, I bridge the gap between robust full-stack engineering and applied machine learning.
My work spans RESTful API design, real-time data systems, frontend performance optimisation, and engineering leadership — including mentoring and code reviews. On the AI side, I've built pipelines with CNNs, RetinaNet, and MobileNetV2, and have hands-on experience with LLMs and prompt engineering.
I'm particularly interested in enterprise-scale AI applications and real-time data systems. Currently seeking a Werkstudent position to apply my expertise in AI and software engineering to solve real industrial challenges.
Tools of the trade.
AI & Machine Learning
Backend & APIs
Frontend
Tools & Practices
Where I've built things.
Software Engineer
Pedalsup LLP · Ahmedabad, India
- Full-stack SaaS development & scalable architecture using React, TypeScript, Node.js, and WebSockets.
- Designed REST APIs with security compliance and built real-time data systems.
- Frontend performance optimisation with Redux state management and lazy-loading strategies.
- Engineering leadership — code reviews, mentoring, and stakeholder communication.
- Agile delivery, CI/CD pipelines, and cross-functional collaboration.
Software Engineer
Quicko · Ahmedabad, India
- Production full-stack development with React, Node.js, and MongoDB — UI components & REST API integrations.
- NoSQL schema design and query optimisation for financial data endpoints.
- Cross-stack debugging, maintenance, and application stability improvements.
- Agile team collaboration — code reviews, coding standards, and requirements-to-code translation.
Selected work.
Hotel Management Platform
A full-stack responsive web app with real-time booking, secure payment gateway integration, and WebSocket-based availability updates. Includes a comprehensive admin dashboard for data-driven management decisions.
Attendance Management System
A Python desktop application automating attendance tracking through real-time face identification using OpenCV and a Random Forest classifier. Async data workflows log entry/exit times into structured CSV reports with high classification accuracy.
GPT-3 Landing Page
A modern, fully responsive landing page built with React that demonstrates strong frontend development skills through clean component architecture, modular CSS, and thoughtful UI/UX design. Showcases gradient styling, responsive layouts, and reusable React components following modern web development best practices.
Restaurant Website
An elegant, responsive restaurant website built with React, featuring modern design patterns, smooth scroll animations, and an intuitive user interface. The project highlights strong frontend development capabilities with a focus on visual aesthetics, component reusability, and mobile-first responsive design principles.
WeatherFish — AI Weather Assistant
A personalised weather application that generates AI-powered weather summaries using a self-hosted Llama-3.2 model via Ollama on Google Cloud Platform. Users can instantly listen to weather briefings through one-click text-to-speech powered by the Kokoro TTS model. Built with a FastAPI backend and React frontend, the system delivers natural, context-aware weather narratives tailored to the user's location.
Academic foundation.
M.Sc. Artificial Intelligence for Industrial Applications
Ostbayerische Technische Hochschule Amberg-Weiden · Germany
- Advanced ML & Deep Learning — neural architectures, optimisation, industrial AI deployment.
- AI in Industrial Production — manufacturing integration, predictive maintenance, quality assurance.
- Data Science — large-scale industrial dataset processing and data-driven decision-making.
- Industrial Automation & Robotics — AI in robotic systems and Industry 4.0 smart factory environments.
B.Tech. Computer Science & Engineering
Nirma University · Ahmedabad, India
- Full-Stack Software Engineering — advanced JavaScript/TypeScript and scalable web architectures.
- AI & Machine Learning — CNNs, RetinaNet, MobileNetV2, Computer Vision, model benchmarking.
- Data Science & Backend — MongoDB, SQL, serverless AWS Lambda pipelines.
- Agile Methodology & Leadership — Scrum, technical team leadership, intern mentoring.
Published research.
Deep Learning Method for Multi-class Face-Mask Classification in Real-Time
Have an idea?
Let's talk.
I'm currently open to Werkstudent and internship opportunities in AI and software engineering. Whether it's a research collaboration, a product to build, or just a hello — my inbox is open.
jainishparekh21@gmail.com// Download my CV