
Akshay Ajagekar
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About Me
I am a Quantitative Researcher specializing in algorithmic development and research. My day-to-day work involves leveraging Python and C++ for data analytics and building sophisticated algorithms. Beyond my professional work, I'm deeply passionate about modeling, optimization, machine learning, and deep learning. I've also fallen in love with Rust and am actively exploring its ecosystem by building open-source projects.
Previously, I was a Schmidt AI for Science postdoctoral fellow where I explored applications of quantum computing for peptide design. I received my PhD in Systems Engineering at Cornell University, working under the supervision of Prof. Fengqi You, where my research focused on quantum computing applications for computational optimization and machine learning, as well as deep reinforcement learning based control strategies for smart automation of plant factories and vertical farms. I also received my Masters in Chemical Engineering from Cornell University. Prior to joining Cornell, I graduated from IIT Patna with a Bachelor of Technology (B.Tech) in Chemical Science and Technology.
Publications and Talks
Some of my refereed journal articles and selected presentations are listed below. An exhaustive list and links to these can be found on my Google Scholar profile.
Blog & Writeups
A compilation of writeups on various topics in the fields of computer science, physics, chemistry, and biology.
Open Source Projects
Building high-performance tools and libraries in Rust for scientific computing, optimization, and more
LlmFlow
Async-First Flow-Based Programming for Rust. A high-performance library for creating and orchestrating flows of connected nodes, built for LLM-powered applications and async workflows
FOAM-RL
A Framework Agnostic Modular Reinforcement Learning Library
Appwrite Rust SDK
Rust SDK for Appwrite, an open-source backend-as-a-service platform that provides developers with all the core APIs required to build any application