Akshay Bhardwaj

Director Of Data Science And AI

Gurugram, Haryana, India
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Summary

👤
Senior
🎓
Top School
Akshay Bhardwaj is the Director of Data Science and AI at Mechademy, leading the AI backbone of Turbomechanica—an Industrial IoT platform deployed by major energy clients like Chevron and Woodside. Over eight years he grew from the company’s first data scientist to director, architecting domain-specific AutoML, production GenAI, and a 50TB+ medallion data lake that cut query times and costs dramatically. He combines hands-on MLOps, DevOps and data engineering (CKAD certified) with physics-informed ML rooted in his petroleum engineering background, enabling models that need far less historical data to bootstrap. Akshay built scalable ML serving from single-model K8s pods to two EC2 instances handling 400+ models, and pioneered LLM-driven feature selection, config extraction, and diagnostic copilots in production. He’s driving seven major 2026 AI initiatives—Agentic Monitoring, ML democratization, and a Diagnostic Copilot—that aim to multiply engineer coverage and automate root-cause analysis. Outside work he’s self-taught through fast.ai and Udacity projects, having implemented everything from transformers-from-scratch to multi-agent LangGraph systems.
code8 years of coding experience
job6 years of employment as a software developer
bookData Engineering Nanodegree Data Engineering, Data Engineering Nanodegree Data Engineering at Udacity
bookBachelor's Degree Petroleum Engineering, Bachelor's Degree Petroleum Engineering at Maharashtra Institute of Technology
languagesEnglish, Hindi, Marathi, Spanish
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Github Skills (48)

pytorch10
artificial-intelligence10
pandas10
machine-learning10
datasets10
huggingface10
speech10
ai10
natural-language-processing10
computer-vision10
nlp10
llm9
numpy9
tensorflow9
deep-learning9

Programming languages (3)

C++CSSPython

Github contributions (5)

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akshayb7/NLP-Learn

Aug 2018 - Jul 2019

Contributions:8 commits, 6 pushes, 1 branch in 10 months
Contributions:65 pushes, 3 branches in 2 days
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