About Me
Hey, I’m Yash Jain 👋 I’m a tech enthusiast and builder pursuing B.Tech in CSE with AI & ML at VIT-AP (CGPA: 8.42). I’ve interned at Fidelity and Mukham, where I worked on CI/CD, Flutter apps, and DevOps with Terraform, Firebase & Kubernetes. I contribute to the Open Source Club and love building cool things—from crypto fraud detection tools to food ordering apps. Always up for shipping clean code and solving real-world problems. Let’s connect and create something impactful 🚀
- Full-Stack Development
- Natural Language Processing
- Mobile App Engineering (Flutter)
- Machine Learning & Deep Learning
- Cloud & DevOps (AWS, GCP, Docker, Terraform)
- Competitive Coding & DSA
- API Design (REST & gRPC)
- System Design Thinking
- Tech Mentoring & Community Talks
- Building Scalable Side Projects
Where I've Worked
Software Development Engineer Intern @ Fidelity Investments
May 2025 - July 2025
- Migrated and optimized Jenkins CI/CD pipelines, improving deployment speed and reliability.
- Resolved Kubernetes pod issues and automated infrastructure using Terraform (IaC).
- Worked in Agile/Scrum teams; gained hands-on experience with enterprise-scale financial systems and DevOps practice
Flutter Developer @ Mukham, Digital Fortress Pvt. Ltd.
May 2023 - May 2024
- Design and develop dynamic, functional, and visually appealing cross-platform applications using the Flutter framework.
- Successfully integrated Postman APIs with the application, ensuring seamless data communication and functionality.
- Proficiently worked with Firebase backend for authentication and security measures, enhancing the overall robustness of the applications.
- Implemented gRPC technology to optimize communication between different components, contributing to the efficiency and responsiveness of the applications.
Mobile Application Developer @ Open Source Club
June 2023 - Present
- Created foundation for the OSC platform Infrastructure
- Flutter - Riverpod (for managing states) - Google Maps Integration
- Hosted Seminars and workshops
ML Projects Team @ Machine Learning Club
Oct 2022 - Aug 2023
- Developed a Facial Identification System utilizing OpenCV, showcasing strong skills in computer vision and image processing.
- Engineered a Hand Gesture Controlled System for everyday devices, leveraging Convolutional Neural Networks (CNNs) and OpenCV. This project demonstrated creativity and practical application of machine learning in human-computer interaction
Software Developer @ Milestone Club
July 2024 - Present
Developing the Food Ape cross platform application with flutter, aims at decresing friction in buying food on campus. Designed the UI as well as the architecture for the application.
Some Things I've Built
Featured Project
Food Ape
Designed and engineered a real-time intuitive cross-platform application with robust and fault-tolerant architecture. A stable, se- cure, and reliable solution, this application simplifies food ordering and displays the college hostel mess menu, ensuring seamless user experience across multiple devices. Key Features: Real-Time Updates, Secure Transactions, Robust Backend
- Flutter
- ExpressJS
- MongoDB
- JavaScript
- Tensorflow.js
Featured Project
Dark Sentiments
A scalable, interactive, real-time application for collaborative DSA code sprints with friends, featuring a timer, asynchronous communication, and automated habit tracking.
- TypeScript
- ExpressJS
- CSS, HTML
- JavaScript -
- Material Design
Featured Project
BERT4CRYPTO
A Transformer model to identify fraudulent cryptocurrency transactions and wallets with the help of the Elliptic++ Datase!
- Tensorflow
- SciKit Learn
- Pandas
- NumPy
- Transformers
Featured Project
Crypto Sentinels
Crypto Sentinels is a toolkit for government agencies to monitor and deanonymize cryptocurrency wallets related to illegal activ- ities on the dark web, based on problem statement SIH1445, 2023. Using BERT Model with Asynchronous, real-time processing Resource-intensive, scalable analysis, Stable, stand-alone deployment
- TypeScript
- Electron
- React JS
- MongoDB
- Python
- AWS EC2
Other Noteworthy Projects
View Complete List of Projects/CodesWebPage Element Detect
This repository contains the code and resources for a computer vision model designed for object recognition, with a specific focus on identifying various elements in a webpage. The model is based on YOLO v8 and is fine-tuned on a custom dataset using transfer learning. Model is deployed here Click Here
What's Next?
Get In Touch
My inbox is always open. Whether you have a question or just want to say hello, I'll try my best to get back to you! Feel free to mail me about any relevant job updates.