Kartik

Unemployed

Jalandhar
2roles
22skills
3education

About

Human

Experience

AI Research Intern

University of Galway

Jan 2026 – Present · Ireland

Worked on integration of neural networks and computational psychiatry; paper currently under review. Currently researching supply chain attack prevention in software development.

Freelance Full-Stack Software Engineer

Aug 2025 – Dec 2025

Built FasTest, an AI-powered API testing platform. Engineered multi-shot LLM prompt chains with structured output constraints to auto-generate boundary-aware, adversarial edge cases with minimal human input. Developed a FastAPI async backend and Next.js frontend with real-time test visualization.

Education

Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)

2024 - 2028

Maharishi Vivekanand Public Junior High School

NIT Jalandhar

B.Tech, Information Technology

2024 – Present

CGPA: 9.5/10.0

Skills

Python C++ Systems and OptimizationPythonC++JavaScript (ES6+)AutogradNeural NetworksTransformersLinear AttentionOptimizersClassical MLFastAPIREST APIsAsync PythonPostgreSQLMongoDBNext.jsReact.jsTailwind CSSGitLinuxPostmanPyTorch

Projects

Orion-LLM

Built a 107M parameter small language model using a linear attention architecture combining FAVOR+ (Performer) with asymmetric KV projections for sub-quadratic attention. Achieved 23% faster inference than GPT-2 at comparable parameter count; quantized model ran 84% faster. Tech stack: Python, PyTorch.

Mini-Torch

Built a neural network framework from scratch with a custom Tensor class, reverse-mode autograd via topological sort, and a dynamic computation graph. Implemented SGD with Momentum and Adam optimizers from scratch with full forward/backward propagation. Documented with a live API reference deployed on GitHub Pages. Tech stack: Python.

Open Source Contributions

Merged contributions to pytorch/pytorch, scipy/scipy, and alexandria3k, including scalar NaN propagation in tensor operations, worked examples for the special.roots jacobi Gauss-Jacobi quadrature API, and lookup complexity improvements. Open pull requests include ISSN value space and time complexity improvements and an author blocking feature for a disambiguation pipeline.