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Michael Ali

@michaelali

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Senior Machine Learning Engineer specializing in LLMs, ad analytics, and scalable ML systems.

United States

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What I'm looking for

I seek senior ML roles building production-grade LLM and ad analytics systems, with collaborative teams, strong MLOps, and measurable business impact.

I am a Senior Machine Learning Engineer with 10+ years building and deploying large-scale ML and GenAI systems at Google and HubSpot, specializing in LLMs, ad analytics, attribution, forecasting, and CRM-integrated solutions that drive measurable business impact.

At HubSpot I led development of the HubSpot AI platform and ChatSpot copilot using GPT-4, RAG, LangChain, and Pinecone, adopted by 160,000+ users; at Google I unified ad-serving platforms and delivered real-time forecasting, anomaly detection, and attribution solutions across petabyte-scale data.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

HubSpot

Jul 2022 - Present (3 years 7 months)

Built HubSpot AI platform (Content Assistant, ChatSpot) leveraging GPT-4 and Breeze AI to deliver generative capabilities adopted by 160,000+ enterprise users; engineered RAG pipelines, modular LLM orchestration, and copilot features that saved >15 hours/week per sales rep.

GPT 4 RAG Pinecone Redis Vector Search Prompt Engineering Sagemaker MLOps

Machine Learning Engineer

HubSpot

Mar 2020 - Jun 2022 (2 years 3 months)

Developed HubSpot's Ads Attribution engine using Bayesian regression, uplift modeling, and TensorFlow to assign revenue across 5M+ ad events/day and built forecasting and spend-optimization models that powered ROI projections across $250M+ tracked ad spend with ±6% error.

TensorFlow TFX Airflow Uplift Models Prophet Looker

Senior Data Scientist

Google

Sep 2018 - Feb 2020 (1 year 5 months)

Led unification of DoubleClick and Ad Exchange using TensorFlow, BigQuery, and Dataflow to enable consolidated ad-serving with real-time yield insights and built forecasting and anomaly-detection pipelines across TB/day auction data.

TensorFlow BigQuery Dataflow TFX Anomaly Detection Reinforcement Learning Scipy Pandas

Data Scientist

Google

Sep 2014 - Aug 2018 (3 years 11 months)

Contributed to Google Marketing Platform integrating DoubleClick, Analytics 360, and AdWords via BigQuery and Dremel SQL; developed attribution models (Markov chains, logistic regression) and clustering to support measurement across 10B+ monthly impressions.

BigQuery Python scikit learn K Means MapReduce

Education

Degrees, certifications, and relevant coursework

University of California

Master of Science, Mathematics

2008 - 2014

Completed a Master of Science in Mathematics from September 2008 to May 2014 focusing on advanced mathematical methods relevant to machine learning and analytics.