Avinash Prabhakaran
Machine Learning Engineer at Spotify
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAvinash Prabhakaran is a Machine Learning Engineer with nine years of experience building production-grade AI platforms and data systems, currently at Spotify after leading ML engineering at Canvass AI. He specializes in integrating LLM agents, RAG pipelines, and vector search into enterprise workflows, and has a strong track record deploying models from cloud to IoT edge with robust observability. Past roles at Lyft and Microsoft include scaling micro-mobility data APIs, ClickHouse migrations that cut costs and latency, and time-series forecasting using LSTM approaches. Comfortable across the full stack—from Kafka and Kubeflow to React and Django—he blends deep technical execution with product-minded design and mentoring. An understated strength is his ability to translate complex engineering constraints into intuitive, operational interfaces that drive AI adoption across industrial and municipal customers.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering at Mahatma Gandhi UniversityMaster of Data Science, Data Science, Master of Data Science, Data Science at The University of British ColumbiaA-Levels, A-Levels at Hautlieu School
English, Malayalam, Hindi, Tamil
Github Skills (23)
feature-selection9
python8
ai8
chatgpt8
langchain7
gemini7
llm7
openai7
typescript7
generative-ai7
pydantic6
anthropic6
open-source6
directory-structure4
react4
Programming languages (5)
Github contributions (5)
avinashkz/income-prediction
Nov 2017 - Jan 2018
Contributions:5 releases, 92 commits, 61 pushes in 2 months
avinashkz/pkb-react
Oct 2020 - Sep 2023
Contributions:1 review, 19 PRs, 67 pushes in 2 years 11 months
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