Hamel H.

Hamel H. Email and Phone Number

Founder @ Parlance Labs | AI, ML & Data Science @ Parlance Labs
Hamel H.'s Location
United States, United States
Hamel H.'s Contact Details
About Hamel H.

I enjoy building tools and platforms to make ML more accessible. I have authored and am a core maintainer of many popular open source tools: https://hamel.dev/oss/opensource.html Furthermore, I have extensive experience (20+ years) as a machine learning engineer across a wide variety of industries.I am currently helping people operationalize LLM models. I worked on GitHub Copilot, a large language model deployed at scale used by over 100M developers, as well as pre-cursors to Copilot like CodeSearchNet.Professional Page: https://hamel.dev/

Hamel H.'s Current Company Details
Parlance Labs

Parlance Labs

View
Founder @ Parlance Labs | AI, ML & Data Science
Hamel H. Work Experience Details
  • Parlance Labs
    Independent Consultant
    Parlance Labs May 2023 - Present
    I work with companies to build great AI products. https://parlance-labs.comYou should hire us if:- You don’t know how to consistently improve your LLM products.- Your LLMs are too expensive or slow.- You are overwhelmed by tools/frameworks. https://parlance-labs.com
    View
  • Answerai Https://Www.Answer.Ai/
    R&D
    Answerai Https://Www.Answer.Ai/ Oct 2024 - Present
    Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs. https://www.answer.ai/
  • Bain Capital
    Scout
    Bain Capital Aug 2024 - Present
    Boston, Ma, Us
    Venture capital scout. Invest between $10k-25k in companies.
    View
  • Fast.Ai
    Entrepreneur In Residence
    Fast.Ai Aug 2022 - May 2023
    San Francisco, California, Us
    Explored commercial opportunities around a project I help maintain nbdev: https://nbdev.fast.ai/
    View
  • Fast.Ai
    Core Contributor & Maintainer
    Fast.Ai Sep 2019 - Aug 2022
    San Francisco, California, Us
    Working with Jeremy Howard on various open-source projects. My focus is on infrastructure, developer tools, DevOps, and software engineering.Some products I've been involved with:- nbdev: A notebook-enabled software development environment - github.com/fastai/nbdev- fastcore: Extensions to the python programming language - github.com/fastai/fastcore- ghapi: A python client for the GitHub API w/ support for GitHub Actions - github.com/fastai/ghapi- fastpages: A blogging platform with support for Jupyter notebooks - github.com/fastai/fastpagesI've also created and help maintain many of the CI, integration tests, and build tools for the fastai ecosystem. Some examples include Conda build tooling https://github.com/fastai/fastconda, Docker image maintenance https://github.com/fastai/docker-containers, and many others.
    View
  • Outerbounds
    Head Of Ml & Data Science
    Outerbounds Jan 2022 - Aug 2022
    San Francisco, Ca, Us
    Building ML Tooling with Metaflow.Left to explore commercial opportunities with fastai & nbdev
    View
  • Github
    Staff Machine Learning Engineer
    Github Oct 2017 - Jan 2022
    San Francisco, Ca, Us
    - Created systems and conducted research that enabled representation learning of code, issues, repos, and users.- Led launch of CodeSearchNet (www.github.com/github/CodeSearchNet)- Machine Learning Ops & GitHub Actions integrations: https://www.mlops-github.comOpen sourced several examples of how to build data products and use deep learning with public GitHub data. These examples can be viewed at: http://hamel.dev, and include - Summarizing GitHub Issues using sequence to sequence models - Natural Language Semantic Code Search - How to create machine learning enabled GitHub Apps to automate the developer workflow - How to achieve Machine Learning Ops with GitHub Actions and Kubeflow
    View
  • Airbnb
    Senior Data Scientist - Machine Learning
    Airbnb 2016 - 2017
    San Francisco, Ca, Us
    - Led the creation of a company-wide machine learning infrastructure roadmap.- Optimized marketing spend of $500M annually using machine learning. - Built customer lifetime value models that predict spending patterns for every user at an individual level. This is used across the entire company in the following areas: marketing, customer service, risk and finance. - Created image classification models to recognize objects in listing photos and for image re-ordering.- Built end-to-end pipelines for data products using Airflow.- Created reusable frameworks and infrastructure that enable other data scientists to iterate faster.- Used a large suite of tools for modeling: Spark, Python, Keras / TensorFlow, DataRobot, H2o, Vowpal Wabbit.http://nerds.airbnb.com/data/
    View
  • Datarobot
    Senior Data Scientist
    Datarobot 2015 - 2016
    Boston, Massachusetts, Us
    Data scientist and product manager for a machine-learning software company.- Deployed a wide variety of modern algorithms such as xgboost, random forest, gradient boosted trees, support vector machines, elastic net etc. on operational systems.- Regularly utilized python, spark and H2O for data wrangling, model building and visualizations.- Built data science workflows in order to ensure that data was aggregated, collected and cleaned in ways that maximized accuracy and transparency. - Contributed significantly to the product design and user experience for the data ingest and python API components of the product.- Benchmarked and studied competing and complimentary machine learning software for accuracy, speed and usability. (H20, Graphlab/Turi, Amazon, Azure, etc.)- Contribute to product strategy and roadmap.- Presently an advisor on product strategy and data science.
    View
  • Alixpartners
    Vp, Applied Analytics
    Alixpartners 2011 - 2015
    New York, Ny, Us
    Led data science efforts on consulting engagements for a wide variety of industries. Some concrete outcomes: - Founding member of the advanced analytics consulting practice, grew a team of 5 to 50 machine learning and analytics practitioners.- Built data-driven tools that enabled a large restaurant chain reduce food-waste by 15% through demand forecasting.- Created models and interactive data visualizations for a large casino to increase the detection of fraud by 50%.- Performed market basket analysis and built recommendation systems that increased conversion rate by 5% for a large clothing retailer. - Launched professional development curriculum for junior data scientists that built skills for data wrangling, predictive modeling and visualizations using Python and the command line.
    View
  • Accenture
    Consultant - Management Consulting
    Accenture 2004 - 2008
    Dublin 2, Ie
    Specialized in CRM data analysis for fortune 500 telecommunications companies. Lead teams of 3-5 people on multiple engagements to implement data analytics solutions for clients in the telecom industry. Saved clients over $85M dollars in the areas of supply chain, call center optimization and churn reduction. Some examples include:- Provided early detection of product defects and network failures through use of call center analytics, saving over $10M in contact center overhead. - Built predictive models to provide an early warning system for customer churn, allowing client to intervene and reduce churn rate by 7%. - Developed scorecards, metrics, and dashboards that enabled clients to increase customer satisfaction while simultaneously reducing costs by changing employee and partner incentive structures.
    View
  • Washington Mutual
    Credit Risk Analyst
    Washington Mutual May 2003 - Apr 2004
    New York, Ny, Us
    Developed and implemented models to evaluate credit risk on loan portfolios.
    View

Hamel H. Skills

Mathematics Returns Trading Strategies Neural Networks East Africa Consulting Litigation Customer Contact Market Juice Summarizing Model Building Infrastructure Vendors User Experience Sales Community Cost Fortune 500 Students Market Research Supply Chain Management International Relations Seattle Competitive Analysis Credit Risk Finance Frameworks Sql Server 2008 Tableau Programming Non Technical Entrepreneurship Contact Centers Apis Vector Legal Product Management Feature Selection Segmentation Plotting Direct Mail Detection At&t Numpy Regulatory Compliance Procurement Https Open Data Management Design Computer Science Science Airlines Machine Learning Patents Regression Analysis Statistics Integration Crm Metrics Data Mining Svm Aid It Strategy Chain Technology Boston Public Speaking Linux Accounting Algorithms Methodology Financial Forecasting Securities Regulation Lecturing Private Label Trees Georgia Site Visits Demand Forecasting Profit Market Intelligence Financials Market Data Networking Portfolio Management Data Wrangling Data Privacy Forecasting Customer Satisfaction System Telecommunications Business Services Education Atlanta Visualization Default Engagements Engineering Reports Flat Patterning Nltk Hadoop Map Asset Allocation Apache Strategy Management Consulting Variety Of Industries Logistic Regression Automated Trading Reducing Costs Inventory Data Driven Property Microsoft Excel Photos Nonprofits Early Warning Graphical Models Unix Shell Scripting Probability Training Customer Service Gross Margin Extract End Users Image Solution Conferences Robust Natural Language Scheduling Project Management Research Reporting Call Centers Spark Commercial Real Estate Chicago Loans Payroll Data Visualization Analysis Campaigns Board Of Directors Customer Data Cost Reduction Liberty Combination Github Fraud Detection .net Computer Forensics R Amazon Web Services Operations Research Industrial Engineering Lifetime Value Operational Systems Houston Coppell Retail Predictive Modeling Holidays Churn Loan Origination Applications Analytical Techniques Data Analysis Airflow Relational Databases Spatial Databases Communication Business Analysis Damages Modeling Frozen Food Rebates Cost Savings Tsql Workshops Stage Suite Usability Amazon Redshift Corporate Tax Microsoft Access Email Marketing Big Data Vba Credit Array Social Networking Quantitative Analytics Liquidation Apparel Mining Business Intelligence Sql Management Studio Pipelines Project Planning Forest Project Sql Contractual Agreements Datasets Dashboard Data Integrity Interpreting Analytics Unix Services Covering Presentations Careful Spss Pricing Linkedin Websites Covers Data Reporting Responsibility Customer Experience Policies And Procedures Labor Issues International Intelligence Data Science Germany Classification Control Charts Efficient Executive Management Efficiencies Open Source History Sprint Map Reduce Predictive Analytics Microsoft Sql Server Defects Investments Data Analytics Arbor Business Insights Entrepreneurial Finance Octave Dallas Software Product Design Medical Intuitive Claim Business Objects International Health San Francisco Yogurt Professional Services Rate Interviews Corporate Law Hive Restaurants Libraries Emis Breach Of Contract Software Implementation Deployed Regression Models Email Marketing Acquisition Integration Python Financial Transactions Optimization Scientists Due Diligence Risk Software Development Conceptual Modeling Supply Chain Ingest Delivery Mergers And Acquisitions Fraud Securities Competition Databases

Hamel H. Education Details

  • Georgia Institute Of Technology
    Georgia Institute Of Technology
    Machine Learning
  • University Of Michigan
    University Of Michigan
    Cum Laude
  • Southern Methodist University
    Southern Methodist University
    Mathematics And Industrial Engineering

Frequently Asked Questions about Hamel H.

What company does Hamel H. work for?

Hamel H. works for Parlance Labs

What is Hamel H.'s role at the current company?

Hamel H.'s current role is Founder @ Parlance Labs | AI, ML & Data Science.

What is Hamel H.'s email address?

Hamel H.'s email address is ha****@****bnb.com

What is Hamel H.'s direct phone number?

Hamel H.'s direct phone number is (877) 448*****

What schools did Hamel H. attend?

Hamel H. attended Georgia Institute Of Technology, University Of Michigan, Southern Methodist University.

What skills is Hamel H. known for?

Hamel H. has skills like Mathematics, Returns, Trading Strategies, Neural Networks, East Africa, Consulting, Litigation, Customer Contact, Market, Juice, Summarizing, Model Building.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.