Open to opportunities

Abhinab Acharya

@abhinabacharya

Message

I am a PhD researcher in continual learning and robust foundation models.

United States

Message

What I'm looking for

I seek research-focused roles in continual learning or foundation-model robustness where I can drive data-efficient ML solutions, publish novel work, mentor students, and collaborate on deployable R&D with real-world impact.

I am a PhD researcher focused on continual learning, data-efficient AI and foundation-model robustness. I developed a novel subset selection method published at ICML 2024 that improved accuracy up to 6% over state-of-the-art and I am driving ongoing work that yields measurable accuracy and robustness gains.

I build and deploy machine learning systems—developed clinical-text classifiers and server logic used by 50+ universities. I mentor students and have led R&D and robotics teams, combining rigorous research with impact-driven engineering.

Experience

Work history, roles, and key accomplishments

Current

Teaching Assistant

Current

Rochester Institute of Technology

Jan 2023 - Present (2 years 7 months)

Lead lab sessions, grading, and student mentoring for Machine Learning and Computer Science courses and managed undergraduates building a Data Science learning platform to support coursework.

Teaching Mentoring Machine Learning Databases Python Lab Instruction

Current

Research Assistant

Current

Rochester Institute of Technology

Aug 2022 - Present (3 years)

Developed continual learning solutions using diffusion and vision-language models, improving legacy-task accuracy by up to 6% and publishing a Data-Efficient ML subset-selection method at ICML 2024; ongoing work shows 3–20% flat accuracy gains and a 50% reduction in anomaly-miss costs across projects.

Diffusion Models PyTorch Deep Learning Research

R&D Software Engineer

North Star Developer's Village

Jan 2019 - Jan 2022 (3 years)

Built and deployed ML solutions for clinical-note text classification and implemented server logic for remote learning platforms used by 50+ universities, improving production reliability and platform adoption.

NLP Python Server Development Deployment MySQL MongoDB Machine Learning

Team Leader

Tribhuvan University

Jan 2015 - Jan 2017 (2 years)

Led the robotics team at ABU ROBOCON 2016, securing Best Engineering and Panasonic awards and driving design and competition strategy.

Robotics Team Leadership Embedded Systems Engineering design Project Coordination

Team Manager

North Star Developer's Village

Jan 2022 - Present (3 years 7 months)

Managed a new robotics department of three developers to research and build educational robots, overseeing project planning, development, and delivery in 2022.

Team Management Robotics Project Management Embedded Systems Research Leadership

Education

Degrees, certifications, and relevant coursework

Rochester Institute of Technology

Doctor of Philosophy, Computer Science

2022 -

PhD candidate in Computer Science focused on continual learning, data-efficient/low-resource AI, and robustness of foundation models; relevant coursework includes Statistical ML, Deep Learning, Data-Driven Knowledge Discovery, and Non-Convex Optimization.

Tribhuvan University

Bachelor of Engineering, Electrical Engineering

2013 - 2017

Activities and societies: Led the robotics team to compete in ABU ROBOCON 2016 and received Best Engineering Award and Panasonic Award.

Bachelor of Engineering in Electrical Engineering with coursework including Artificial Neural Networks, Probability and Statistics, Computer Programming, and Microprocessors.