Meet Our Volunteers

Meet and learn about some of our awesome AI For Mankind’s volunteers ! Thank you all our volunteers for their continued supports and contributions. Without our volunteers, our success wouldn’t have been possible.

Rachael Creager

Artificial Intelligence Fellow at Insight Data Science

Rachael Creager

Why I Joined AI For Mankind

I joined AI For Mankind for the CORD-19 NLP hackathon, where I am working on improving search engines and topic modeling for Covid-19 researchers. I chose this project for its usefulness as well as for the learning experience. It feels good to work on something bigger than yourself while learning skills you can use for the future!

AI For Mankind is also a great place to meet other technologists and to get exposure to different tools and ideas. The discussions during the hackathon lead me to try methods for topic modeling which I previously knew nothing about!

Bio

I defended my PhD in experimental particle physics at the University of Pennsylvania in December 2019. My thesis research was focused on data pipeline improvements and classification algorithm performance evaluation at the Large Hadron Collider.

After defending, I accepted an Artificial Intelligence Fellowship at Insight Data Science, where I developed a facial recognition “privacy filter” and testing suite for privatizing images. I have a strong background in data engineering as well as open-ended research.

Kaniska Mandal

Tech Lead, Search Science and Marketing Demand Optimization Team at Walmart Labs

Kaniska Mandal

Why I Joined AI For Mankind

There is a massive demand for developing open source projects for mankind all over the world. AI For Mankind provides such a platform where knowledge seekers, mentors, instructors and hackers can engage together for sharing knowledge and building apps for social goods.

I believe AI For Mankind has a great vision, proven execution strategy, long-term goals and unique combination of domain expertise and AI Experience.

As an active member I could make a direct impact by working on algorithms for detecting wild-fire. Now we have a bigger responsibility to help humanity containing the spread of Covid-19.

I am very much excited to contribute to the ideas and implementation strategies for analyzing social data and unstructured signals in order to detect outbreaks , symptoms, availability and demand of medical kits, mental anxiety patterns followed by timely actions and alerts. I am also focussing on another project on analyzing images for classifying flu-like and covid-19 symptoms.

I feel humbled to be part of AI For Mankind’s journey.

Bio

I have been developing Machine Learning Algorithms, Data Engineering Pipelines, Analytics Platforms, Tools in the domain of Retail, CRM, Finance, Marketing, Algorithmic Trading, Smart Networking, IIOT and Healthcare for various startups and Enterprises over the last 20 yrs.

At present I am a Tech Lead in the Search Science and Marketing Demand Optimization team of Walmart Labs building ML Algorithms, Experimentation platforms, Actionable analytics and Big data pipelines.

Matt Tso

Neuroscience Post Doc, University of California, Berkeley

Matt Tso

Why I Joined AI For Mankind

I joined AI For Mankind to sharpen my skills in AI and networking. And overall, I just love the idea to volunteer my skills for a good cause.

Bio

At UC-Berkeley, I am studying brain circuits that controls sleep and wake in mice. My amateur AI/data science projects include COVID19 cases and demographic analysis, wildfire image classification and predicting bad loans from Freddie Mac data.

Amit Doda

Data Scientist, Adobe, India

First Place Winner of Lets Stop Wildfires Hackathon

Amit Doda

Why I Joined AI For Mankind

AI For Mankind is a great community with highly motivated and intellectual people working for the social good.

When I came across this hackathon - Early Wildfire Smoke Detection using Deep Learning skills, I was so tempted to participate as I could see a great opportunity to use my skills and take up a problem which is so real and meaningful to solve.

The other unique trait about this hackathon is that it just doesn’t end here instead the winning model would be further fine-tuned and taken to actual site.

And there is nothing better than seeing your model deployed and tested on actual sites and seeing it help tackle a problem so big such as wildfires crisis. If that happens it would be doing my bit for the Environment.

Bio

I am working as a Data Scientist in Adobe and I get to work on various machine learning use cases across different Industries. Among all the domains, computer vision is my favorite and I am a big fan of all the good advancements that have happened in this space over the last 5 years.

Deep Learning is helping address many critical use cases in the vision domain such as image classification, object detection, image generation, super resolutions and the list just goes on.

Anil Berry

Lead Software Engineer, Adobe, India

Anil Berry

Why I Joined AI For Mankind

My motivation for joining AI For Mankind is the collaboration, learning from each other, and to contribute in solving real world challenges using data science and machine learning.



Davies Odu

Software Developer, Microsoft

Davies Odu

Why I Joined AI For Mankind

I joined AI for Mankind because I’m very excited about the economic and social advantages that AI and big data will bring to humanity how it might be leveraged with wisdom to improve the lives of ALL humans.

AI for Mankind brings developers and enthusiasts together with a strong vision to leverage AI for specific solutions that improve the human experience and this strongly motivates me to bring in my skills and learn from like minds.

Bio

I went to college in St. Petersburg Russia then moved to the US a few years ago for my Masters at Duke. Right now I’m a Software Developer at Microsoft and AI enthusiast.

I help build robust servers that process millions of requests daily for clients all over the planet.

I recently completed a 500hr Machine Learning Bootcamp and got a chance to build numerous deep learning based solutions for practical problems from an image-image search engine to modeling of COVID-19 data using social medial activities.

Aarnav Sawant

High school freshman at Bellarmine College Preparatory

Aarnav Sawant

Why I Joined AI For Mankind

The world is definitely changing first with Wildfires and now with COVID-19. AI For Mankind has done exceedingly great work to help find solutions to these real-world problems, and I hope to contribute to this cause and help make this world a better place. I have most recently been working on a Deep Learning project to diagnose COVID-19 using Chest X-Ray Images.

Bio

I am a high school freshman at Bellarmine College Preparatory. From a very young age, I have always been fascinated by how data and technology can help solve real world problems and help humanity. I am part of the software team for Team 254, a nationally ranked robotics team, and am proficient in Java, Python, and AI.

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AI For Mankind is a 501(c)(3) nonprofit organization. EIN 84-1750651