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Assessing your cultural and operational fit
AI Leader & Founder | $1M Zillow Prize Winner | Kaggle Competition Grandmaster, Former Kaggle World #19 | Two Sigma & Optiver Prize Winner | Speaker @ (KDD, Sigmod, AIC, TMLS, Georgian, ReWork)
I lead Data Science, AI Engineering, and Applied Research, building agentic AI systems that transform enterprise data into autonomous decision engines. I currently oversee a team of engineers and researchers, where I’ve architected and deployed production-grade multi-agent LLM platforms integrating RAG, enterprise knowledge graphs, CRM systems, and external tools to automate complex workflows. Selected Highlights: • Kaggle Competition Grandmaster (Global Top 0.01%) — ranked #1 in Canada, Top 20 worldwide, with 10 Gold and 10 Silver medals • Winner of the $1M Zillow Prize (1st out of 3,800+ teams); built a state-of-the-art automated home valuation system • Prize winner in both Two Sigma and Optiver quantitative modeling competitions — placed 2nd at Two Sigma and Top 10 at Optiver among over 4,000 competitors. • Head of AI / ML — Led data science, AI engineering, and applied research across 40+ engineers in a 100+ person organization • Architect of agentic AI systems — built production multi-agent LLM platforms across fine-tuning, RLHF, RAG, knowledge graphs, and automation • AI founder — built and scaled real-world ML systems in production • Invited speaker at leading AI venues: KDD, Sigmod, ReWork, TMLS and AIC • $1M Leaders Prize finalist — built AI systems to fight misinformation at national scale • First inventor on a Zillow patent tied to core Zestimate modeling: http://bit.ly/3PjeFsQ • Recognized AI contributor in Canada — featured on Wikipedia • Open-source quant ML work adopted by hedge funds: http://bit.ly/4tml5Gz International Selected Awards • Finalist, Leaders Prize — $1M Prize for an AI Solution to Fake News • Winner, 1st out of 3,800 teams — Zillow Prize: $1M Prize to Beat Zestimate • Prize Winner, 2nd place out of 3,303 teams — Rossmann Store Sales • Prize Winner, 2nd place out of 2,382
University of Toronto - Rotman School of Management
Next Canada, Entrepreneurship/Entrepreneurial Studies
January 1, 2016 – January 1, 2018
York University
Doctor of Philosophy (PhD), Computer Science
January 1, 2014 – January 1, 2018
Sharif University of Technology
Master of Science, Computer Engineering, Computer Engineering
January 1, 2004 – January 1, 2006
Collective[i]
Head of Data Science
June 1, 2024 – Present
Remote
Mindle.ai
Board Member
June 1, 2024 – Present
Mindle.ai
VP of Data Science and Machine Learning
May 1, 2020 – June 1, 2024
Mindle.ai
Head of Data Science
March 1, 2018 – May 1, 2020
NEXT Canada
Co-Founder Deepnify (first NEXTAI cohort)
March 1, 2017 – October 1, 2018
York University
AI Research Scientist (BRAIN ALLIANCE)
April 1, 2015 – September 1, 2018
Kaggle
Machine Learning Engineer
March 1, 2014 – December 1, 2018
Toronto
York University
Graduate Research And Teaching Assistant in deep learning and machine learning.
March 1, 2014 – August 1, 2017
Parand
Faculty Lecturer at Azad University
October 1, 2006 – October 1, 2014
Sharif University of Technology
Research Assistant
July 1, 2004 – September 1, 2006
Cultural Fit Analysis
The candidate has a strong background in AI/ML research and industry leadership, including co-founding a startup. Their experience spans academic research, entrepreneurial ventures, and corporate data science leadership. This breadth suggests adaptability and a drive for innovation. However, the target role of 'Data Analyst' is a significant departure from their senior Data Science and AI roles, which could indicate a potential cultural mismatch if the candidate is overqualified or seeking a different type of challenge than a typical Data Analyst role offers. Their extensive experience in advanced AI/ML might lead to expectations that exceed the scope of a standard Data Analyst position.
Soft Skills & Operational Fit
The candidate's leadership roles (Head of Data Science, VP of Data Science) and co-founder experience suggest strong initiative, problem-solving, and strategic thinking. Their teaching background implies good communication and mentorship skills. The diverse project experience indicates adaptability and a results-oriented approach. However, the target role is 'Data Analyst', which is a significant step down from their current and past leadership positions in Data Science and AI. This might indicate a mismatch in operational fit or expectations.