Hey, I'm Jayan

Software Engineer & Full-Stack Developer 👨‍💻

Experience

My professional journey so far 🚀

Founding Engineering Intern logo

May 2025 – July 2025

Founding Engineering Intern

Ekam Apps

Built a B2B SaaS platform using Next.js, TypeScript, and FastAPI to automate customer document collection via WhatsApp. Engineered an AI multi-agent workflow with CrewAI to handle document requests, validation, and extraction, which significantly improved operational efficiency. The platform featured a scalable multi-tenant backend, secure REST APIs, and integrated WhatsApp Business API for automated reminders, reducing manual coordination by 60%.

Research Intern logo

August 2024 – March 2025

Research Intern

Samsung PRISM

Designed solutions for user health identification using smart home data in the IoT domain. Developed models for patient monitoring, fall detection, and anomaly detection.

Product Management Intern logo

May 2024 – July 2024

Product Management Intern

Infinite Insight

Enhanced search functionality, achieving measurable improvements in efficiency and usability. Streamlined user tutorials, reducing onboarding time and improving accessibility. Defined user stories to direct development efforts and ensure alignment with objectives.

Projects

Some things I've built 🚀

Maternal Healthcare Web App

Maternal Healthcare Web App

December 2023 - Present

Built a scalable healthcare platform featuring an AI-powered chatbot for real-time, personalized healthcare interactions. It also leverages machine learning to predict health risks, detect anxiety, and offer tailored medical recommendations.

Next.jsPrismaPostgreSQLFastAPI
Ophthalmology EMR App

Ophthalmology EMR App

September 2023 - November 2023

Developed an EMR app to streamline ophthalmology data documentation for clinical and research use, reducing patient registration to examination time by over 50%. The app supports offline functionality, making it ideal for medical camps with limited internet access.

FlutterSQLite
Urban Scene Understanding

Urban Scene Understanding

June 2023 - August 2023

Created a semantic segmentation model with 84% accuracy using the CityScapes DashCam dataset, applying deep learning techniques for detailed urban scene analysis.

PythonTensorFlowComputer Vision

Achievements

🎉 Here's a highlight from my tech adventure

App-a-thon 2024 Winner

App-a-thon 2024 Winner

February 2024

Secured first place at a mobile application hackathon hosted by MAHE, showcasing innovative problem-solving skills and technical expertise in app development. The winning project showcased a unique approach to managing EMR records in an ophthalmology clinic.

My Toolkit 💻

Technologies I work with

React
Next.js
Flutter
Express.js
Node.js
FastAPI
Prisma
MongoDB
PostgreSQL
Firebase
TensorFlow
Computer Vision

And many more tools in my arsenal...

Let's Connect!

If you'd like to get in touch, feel free to connect with me via social media or send me a direct message here.