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.
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