Dheeraj Thankachan
Product - Core ML at Planday
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDheeraj Thankachan is a product-focused Core ML leader and entrepreneur with 10 years of experience building ML-driven products and distributed systems across startups and large tech firms. Currently leading Core ML from 0→1 and activation at Planday, he has a track record of shipping zero-to-one products—most notably scaling Memix to #1 in the US App Store and founding a VC-backed grocery startup that built custom LLMs for supermarket integrations. He blends research pedigree from Oxford and DeepMind with hands-on product and engineering roles at TikTok, Amazon and Tesla, tackling recommendations, ads, inference and safety for high-throughput systems. An active angel investor in deeptech and ML (early bets include Monzo and Cohere), he evaluates technical due diligence and commercialization potential for frontier startups. Beyond product strategy and ML, he contributes to open-source learning by experimenting across languages (Go, C++, Python, R) and enjoys translating research ideas into production-grade ETL and LLM pipelines.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at University of OxfordA Levels, Mathematics & Mechanics, Physics, Computing, A Levels, Mathematics & Mechanics, Physics, Computing at Olchfa Comprehensive School
English, Malayalam, Tamil, German
Github Skills (6)
objective-c10
c-language10
go10
cprogramming-language10
python10
r10
Programming languages (5)
Github contributions (5)
Aniket965/Hello-world
Oct 2018 - Oct 2018
Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 commits, 5 PRs in 1 day
Contributions summary:Dheeraj contributed "Hello World" programs in various programming languages to the repository. This included Go, C++, Python, Objective-C, and R. The user's commits demonstrate an understanding of different programming paradigms and a willingness to experiment with diverse technologies to solve a simple problem. The user's contributions directly align with the repository's purpose of showcasing programs.
javaany-language
Botathon-CY/Parkly
Nov 2019 - Nov 2019
Parkly - Parking Availability Spatial Detection Trained ML Models
Contributions:11 commits, 8 pushes, 1 branch in 5 days
ml-modelsavailabilityspatialmachine-learningparking
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