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@airbnb.com
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2 phones found area 877 and 415
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Hamel H. is listed as Founder @ Parlance Labs | AI, ML & Data Science at Parlance Labs, based in United States. AeroLeads shows a work email signal at airbnb.com, phone signal with area code 877, 415, and a matched LinkedIn profile for Hamel H..
Hamel H. previously worked as Independent Consultant at Parlance Labs and R&D at Answerai Https://Www.Answer.Ai/. Hamel H. holds Master Of Science (M.S.), Computer Science, Machine Learning from Georgia Institute Of Technology.
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AeroLeads found 1 current-domain work email signal for Hamel H.. Compare company email patterns before reaching out.
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/
Listed skills include Mathematics, Returns, Trading Strategies, Neural Networks, and 285 others.
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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
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/
Boston, Ma, Us
Venture capital scout. Invest between $10k-25k in companies.
San Francisco, California, Us
Explored commercial opportunities around a project I help maintain nbdev: https://nbdev.fast.ai/
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.
San Francisco, Ca, Us
Building ML Tooling with Metaflow.Left to explore commercial opportunities with fastai & nbdev
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
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/
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.
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.
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.
New York, Ny, Us
Developed and implemented models to evaluate credit risk on loan portfolios.
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Hamel H. works for Parlance Labs.
Hamel H. is listed as Founder @ Parlance Labs | AI, ML & Data Science at Parlance Labs.
AeroLeads has found 1 work email signal at @airbnb.com for Hamel H. at Parlance Labs.
AeroLeads has found 2 phone signal(s) with area code 877, 415 for Hamel H. at Parlance Labs.
Hamel H. is based in United States while working with Parlance Labs.
Hamel H. has worked for Parlance Labs, Answerai Https://Www.Answer.Ai/, Bain Capital, Fast.Ai, and Outerbounds.
You can use AeroLeads to view verified contact signals for Hamel H. at Parlance Labs, including work email, phone, and LinkedIn data when available.
Hamel H. holds Master Of Science (M.S.), Computer Science, Machine Learning from Georgia Institute Of Technology.
Hamel H. is listed with skills including Mathematics, Returns, Trading Strategies, Neural Networks, East Africa, Consulting, Litigation, and Customer Contact.
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