Hello, I'm

Abhishek Shankar

AI Engineer • Generative AI Enthusiast • Lifelong Learner

I work at the intersection of AI and Healthcare. My primary focus is on learning, building and exploring trends in computer and data science. Outside of work I love music, movies and enjoy being based in the Bay Area.

Abhishek Shankar

My Journey

A quick look at where I've been and what shaped me.

August 2019 – March 2020

Data Science Intern at Positive Integers

Right after my undergrad from SRM University, I joined Positive Integers as a data science intern. I worked on some great projects and was an excellent introduction to the world of data science.

March 2020 - June 2022

Data Scientist at Adqvest (now Thurro)

My first full-time role was at Adqvest, which has since rebranded as Thurro. I grew a lot here and got to work on real world projects from ideation to deployment.

September 2022

Back to School - MS in Information Systems @ Northeastern University

I went back to school to get a more theoretical understanding of Machine Learning and Data Science concepts.

July 2023 - December 2023

Data Scientist Co-op @ Boehringer Ingelheim

I joined Boehringer Ingelheim as a Data Scientist Co-op Fall 2023. I had the opportunity to work with some great teams across Germany and North America

September 2024

Wrapped up my masters

December 2024 - Present

AI Engineer @ RhythmX AI

I joined Enable Data as an AI Engineer Consulant. My client being RhythmX AI, I created new features for the RhythmX AI platform integrating GenAI models with healthcare data.

Projects

A few things I've built that I'm proud of.

🚀

Supply Chain Insights

Agentic Knowledge graph project to analyse supply chain data and provide insights.

PythonLangChainKnowledge Graphs

Parallel Deep Learning Using GPUs and Pytorch

A project to parallelize the training of a deep learning model using GPUs and Pytorch for image captioning.

PythonPytorchGPUs
🎨

GraphRAG Evaluation

A project to assess the performance and effectiveness of RAG models in generating accurate and relevant answers by utilizing retrieved contexts from a knowledge graph.

PythonLangChainKnowledge Graphs

Beyond Code

Things I enjoy when I'm not staring at a screen.

📚

Biking

Ive biked in Boston, San Fransisco, Chicago and now around Mountain View. I think its a great way to stay fit and explore new places.

🎸

Music

Music is a big part of my everyday life. I love listening to new music and discovering new artists and enjoy singing for my friends and family.

My Curated Playlist →
🏔

Travel & Outdoors

I recharge by exploring new places, hiking trails, and getting lost in nature or concrete jungles whenever I can.

Coffee & Conversations

I am a social animal and some of my best ideas have come from a good cup of coffee and a great conversation with interesting people.

Resume

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Let's Connect

Have an idea, a question, or just want to say hello? I'd love to hear from you.