Parmida Beigi

CEO

San Francisco, California, United States14 yrs 6 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over 15 years in AI/ML systems development.
  • PhD in computer engineering focused on AI/ML.
  • Founded Big Data Quality AI, empowering 500k individuals.
Stackforce AI infers this person is a leader in AI/ML innovation across multiple industries including healthcare and eCommerce.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceGenerative AiStrategic PartnershipsData ScienceProduct DevelopmentTeam Management

Other Skills

Agile MethodologiesAlgorithmsAmazon Web Services (AWS)BiddingC++Causal InferenceCloud ComputingComputational ModelingComputer ScienceComputer VisionCross-Organization CollaborationCross-functional Team LeadershipDigital Image ProcessingEngineeringEngineering Management

About

With over 15 years of experience in building AI/ML systems, I’m passionate about empowering teams to use data and ML to drive transformative business success and customer impact. I hold a PhD in computer engineering with a focus on AI/ML, and have been the recipient of several awards and recognitions throughout my career. Currently at Meta, working on ML/RL/LLM SOTA modeling across retrieval, ranking and bidding. Prior to that at Amazon AGI, my focus was in the conversational AI and generative AI/LLMs space, leading search and entity information retrieval and ranking for Alexa Local Search, speech recognition improvements across international locales, and lastly LLM grounding for Alexa+. As an AI/ML educator, I have founded Big Data Quality AI, which has empowered over ~500k individuals with industry-focused AI roadmaps to make the right choices when it comes to data needs and AI/ML solutions. My mission is to leverage data-driven insights to solve complex challenges across different verticals, and bridge the gap of AI/ML/data science and public understanding.

Experience

Meta

Engineering Management, AI

May 2025Present · 10 mos · San Francisco Bay Area

  • Leading the ML Innovation for Products team in Ranking and AI Foundations org. Our vision is to redefine retrieval, ranking/RecSys and bidding through ML/RL/LLM innovation and cutting-edge research for long-term user and advertiser value optimization.
Machine LearningReinforcement LearningLarge Language ModelsRankingBiddingArtificial Intelligence

Amazon

2 roles

Sr. AI/ML Lead, Amazon AGI

Promoted

Mar 2021May 2025 · 4 yrs 2 mos

  • Led data-driven strategies and AI vision for Amazon AGI (Local) Info - search, (graph) information retrieval and ranking, question answering, personalization, LLMs and Agentic AI.
StrategyCross-functional Team LeadershipData ScienceGenerative AI

ML TL, Alexa AI

Mar 2019Mar 2021 · 2 yrs

  • Drove the e2e design and development of entity search ranking service from ideation to production.
  • Led a diverse XFN data team in ASR improvements for the Alexa Personal Mobility launch in Spain.

Boeing

Senior ML TLM

Mar 2018Mar 2019 · 1 yr · Vancouver, Canada Area

  • ML adoption for predictive and prescriptive maintenance in aircraft fleets.

Bdq ai

Founder & Partner

Oct 2017Present · 8 yrs 5 mos

  • Navigating the Generative AI era: Big Data Quality AI empowers informed decisions in AI/ML and GenAI
  • Awarded “Top AI Leaders and Contributors” by Global AI Hub, Sep 2021
  • MedTech, EdTech, Finance and eCommerce
Enterprise GenAIStrategic PartnershipsProduct DevelopmentProduct ManagementGenerative AI

Nz technologies inc.

R&D Engineer

Nov 2015Aug 2016 · 9 mos

  • Partnered with executive leadership (CEO and CTO) to develop a machine vision initiative for touchless image navigation systems in operating rooms.

Bc women's hospital and health centre

Research Lead

Jan 2014Aug 2016 · 2 yrs 7 mos

  • Collaborated cross-functionally with physicians, medical staff, and engineers, ensuring the adoption of ML tools in clinical workflows
Team ManagementCausal InferenceProduct Development

University of british columbia electrical and computer engineering

NSERC PhD Research Fellow

Sep 2013Nov 2015 · 2 yrs 2 mos

  • CASPER: computer-aided segmentation of imperceptible motion—a learning-based tracking technique - the thesis funded by Natural Sciences and Engineering Research Council of Canada and Canadian Institutes of Health Research.
  • Awarded "most prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship", offered to high calibre PhD scholars in Canada.
  • Research findings published in peer-reviewed journals and conference proceedings.

Philips

Research Lead

Jan 2013Mar 2018 · 5 yrs 2 mos

  • Design and development of ML-based object detection tools for Philips ultrasound systems, while engaging the healthcare sector through training, workshops and demos.
Python (Programming Language)Cross-functional Team LeadershipProduct DevelopmentLeadershipMachine Learning

Bc cancer agency

Data Scientist

Apr 2012Mar 2013 · 11 mos

  • Worked in the intersection of AI and healthcare: recipient of the best speaker award presenting my research at Health Sciences Conference 2012. Research findings is published in IEEE transactions on Biomedical Engineering.

University of british columbia

Sessional Instructor, CS and BME

Sep 2011Sep 2015 · 4 yrs

Education

Cornell University

Executive Leadership

The University of British Columbia

Doctor of Philosophy (PhD) — Electrical and Computer Engineering | Machine Learning

Jan 2013Jan 2017

The University of British Columbia

Dual degree — Business Administration and Management

Sharif University of Technology

Bachelor's degree — Electrical and Electronics Engineering

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