H.264 Implementation & Real-World Applications: From Theory to Practice (Part 3 of 3)
Part 3 of the H.264 series. Explore practical implementation aspects:...
Teaching Machine to be Smart
Abhik Sarkar is an experienced Python Machine Learning Engineer with over eight years of expertise in scalable, intelligent solutions. He currently leads the Machine Learning department at a high-growth startup specializing in computer vision technologies for safety and security.
Articles
H.264 Transform & Quantization: The Mathematical Heart of Compression (Part 2 of 3)
Part 2 of the H.264 series. Dive deep into the...
H.264 Fundamentals: Understanding the Core Pipeline (Part 1 of 3)
Part 1 of a comprehensive H.264 guide. Explore the fundamental...
Rethinking Research Notes: Adopting Zettelkasten for My Paper Explanations
Announcing the adoption of the Zettelkasten method for structuring paper...
Work
- Company
- Cloudastructure Inc
- Role
- Director, Machine Learning
- Date
- Company
- Quantiphi Inc
- Role
- Machine Learning Engineer
- Date
- Company
- Deloitte
- Role
- Business Technology Analyst
- Date
Bookmarks
Resources I find valuable and recommend to anyone interested in ML and engineering.
BRRR: A faster Python
Horace He
The Unreasonable Effectiveness of Transformer Models
Andrej Karpathy
Transformers from Scratch
Brandon Rohrer