Implemented Custom Model Based Linear-RL from scratch for inverted-pendulum system. The RL model maintains desired state with ±3% margin of error in angle. Gaussian supervised model for next state prediction achieves 98.7% accuracy on synthetic simulator data.
Hi, I'm
Ayush Lahiri
ML Engineer & Systems Developer at IIIT Kalyani
I build ML models and systems-level code from scratch. Specializing in Machine Learning, Transformers & NLP, and Systems Programming. I implement complex algorithms end-to-end: Autograds, RBF SVMs, RL models, and LMs. Strong foundation in OS internals and Computer Architecture.
Projects
GitHubA mix of competition-winning builds, tooling, and experiments.
Designed and implemented a custom Autograd engine from scratch with secondary data structures and complex operations support. Built multi-layered linear regression, softmax, and sigmoid functions. Complete automatic differentiation implementation.
Designed and implemented Custom RBF Kernel SVM for breast cancer detection achieving ~97.6% accuracy with only 0.3% false negative rate (Type-II Error). Outperformed standard Neural Network trained on 128 iterations with 126 samples, 30 input dimensions.
Freelance Work
Selected client work and independent engagements outside of academic projects.
Custom Ruby on Rails Web Application
Architected and delivered a full-stack Ruby on Rails web application — from database schema design to front-end integration. Implemented RESTful APIs, Devise authentication, and a responsive UI.
Deliverables
- Custom Rails API with authentication
- Responsive front-end UI
- Database design & optimization
- Deployment on Render
Stack
Native Android Application
Designed and built a production-ready native Android app from scratch in Java. Covered UI/UX in XML, REST API integration, offline-first SQLite persistence, and Play Store submission support.
Deliverables
- Native Android app in Java
- REST API integration
- Offline-first with SQLite
- Google Play deployment prep
Stack
Backend API & GitHub Integration Service
Built a backend service integrating with the GitHub API via Octokit — aggregating repo data, language stats, and project highlights. Implemented smart file-based caching with a 24-hour refresh strategy.
Deliverables
- GitHub API integration via Octokit
- Smart file-based caching
- Language & repo analytics
- JSON data service layer
Stack
Android Dev Mentorship Sessions
Delivered structured Android development sessions as App Dev Lead at Google Developer Group IIIT Kalyani. Covered the full Android lifecycle for a cohort of student developers — layouts to networking.
Deliverables
- Structured Android dev curriculum
- Hands-on coding workshops
- Project guidance & code reviews
- Resource materials
Stack
Open to freelance opportunities
Rails backends, Android apps, API integrations & more.
Experience
App Dev Lead
Google Developer Group IIITK
Build scalable native apps and run intensive technical sessions for student developers within the GDG IIIT Kalyani community. Responsible for curriculum design, hands-on code reviews, and mentorship for 80+ participants in technical workshops.
Led IronLegions to the semi-finals of Microsoft ImagineCup by building Course-Craft, an AI-powered educational platform for course and assignment management.
Education
B.Tech in Computer Science & Engineering
Sept 2025 — Jun 2029IIIT Kalyani, West Bengal
- CGPA: 8.26/10
- Specializing in Machine Learning, Deep Learning, and Systems Programming.
- Completed: CS229 (ML), 6.086 (Hands-on Deep Learning), CS231N (Computer Vision).
- Strong foundation in OS internals, Computer Architecture, and Advanced Algorithms.
Higher Secondary Education (PCM)
Apr 2023 — Apr 2025Mothers' International Academy
- Completed senior secondary with Physics, Chemistry, and Mathematics.
- Percentage: 78%
High School (CISCE)
Passed Apr 2023Carmel School
- Graduated with 93.4% overall score.
- Distinction in Mathematics and Computer Science.