* Available for AI × Finance work
Hi, I'm Ayush — an AI engineer building at the intersection of machine learning and finance.
I implement research papers the moment they drop, train neural networks from scratch, and ship open-source. Currently exploring time-series models, LLM agents, and quantitative systems.
India · 20:50 UTC+0
01 — About
I work on machine learning with a tilt toward finance — reading papers, reimplementing them, and stress-testing them against real-world data. My background spans deep learning, time-series forecasting, and quantitative modeling.
Most of what I build ends up on GitHub. I share course notes, from-scratch implementations, and the occasional side project — because the best way to learn something is to teach it.
When I'm not training models, I'm reading about markets, writing about what I'm learning, or breaking a build I should've left alone.
02 — Focus
- 2025
AI Research
Implementing papers the moment they drop — architectures, training tricks, evaluation harnesses.
- 2025
Finance × AI
Where quantitative methods meet modern ML: signals, forecasting, and decision systems.
- 2024
Open Source
Sharing the AI/ML foundations I've learned so the next builder can move faster.
03 — Projects
- AI-ML-Course
↗
A structured curriculum covering AI & ML foundations, from classical models to modern deep learning.
Python · Jupyter
- neural-network-from-scratch
↗
Pure NumPy implementation of neural networks — backprop, optimizers, and training loops without a framework.
Python · NumPy
- flowise
↗
Drag & drop UI to build customized LLM flows using LangChainJS — visualized AI pipelines.
TypeScript · LangChain
04 — Connect
The fastest way to reach me is email. I'm open to conversations about research, prototypes, and production work at the boundary of AI and finance.