Literature
I like to write. I write about technology, and at other times, I write about my thoughts about the world. Here are some of my works:
Technical
Research Papers:
- Beyond Context Windows: Data Transformations at Scale with LLMs (DATA 2026)
- BioSimCSE: BioMedical Sentence Embeddings using Contrastive learning (ACL LOUHI 2022)
- TableQuery: Querying tabular data with natural language (arXiv 2022)
- Deep Learning applications with Python (Springer, 2021)
Tech Blogs
- Learning Inference: a case study for beginners
- Learning LLM Inference: confidential computing to keep data private
- Learning LLM Inference: scaling from a single node to millions of users
- Learning Inference: how to host and improve the token speed of an LLM
- A simple practical mental model for LLM inference optimization
- Solving complex data pipelines with Composio + Datatune
- A very basic roadmap for starting with machine learning and generative AI
- Solving your FOMO about Agentic AI
- Solving your FOMO about everything in LLM
- Data for LLMs: Navigating the LLM data pipeline
- Real Time Object Detection using YOLO V8
- Question Answering Models: A Comparison
- Solving Question-Answering on Tabular Data: A Comparison
- Sentence Embeddings with PyTorch Lightning
Talks
- ChatGPT and its impact, Beyond Conversations, 2023
- TableQA, FOSS United meetup, 2021
- AMA on open source and ML careers, Student Developers Society, 2020
- More on YouTube