Hi, I'm Sachin
ML Researcher with interests in Computer Vision and Scientific Machine Learning
SP

About

I am an undergraduate student working at the intersection of Geometric Vision and Scientific Machine Learning. I am fortunate to be advised by Prof. Manolis Kellis at MIT, Prof. Min Xu at CMU, Prof. Abhinav S Raman at IIT Madras, Prof. Indrajit Ghosh at IIT Roorkee, and Prof. Sudarshan Iyengar at IIT Ropar. My primary research interest is in developing a mechanistic understanding of geometry and exploring its implications.

Work Experience

M

Massachusetts Institute of Technology

April 2026 - Present
Research Intern
Working in the CSAIL Department to study latent geometry of large language models
C

Carnegie Mellon University

October 2025 - Present
Research Intern
Working under Prof Min Xu to research and implement novel deep learning solutions for Cryo-Electron Microscopy (Cryo-EM) image analysis, focusing on enhancing image reconstruction and molecular structure determination through advanced neural network architectures.
I

Indian Institute of Technology Madras

September 2025 - Present
Research Intern
Working under Prof. Abhinav S Raman to study and investigate physically invariant feature representations of local chemical environments for machine-learned interatomic potentials (MLIPs). Research involves extracting and analysing descriptors from methods such as MBTR, ACSF, SOAP, and the embedded descriptors from the DeePMD framework.
I

Indian Institute of Technology Roorkee

May 2025 - November 2025
Research Intern
Working under Prof Indrajit Ghosh to research and implement real-time round-about traffic violation detection and preventions for an edge device using novel computer vision algorithms.
I

Indian Institute of Technology Ropar

May 2025 - July 2025
Research Intern
Worked under Prof. Sudarshan Iyengar to research and implement novel deep learning techniques for enhanced remote image object detection using Super-Resolution and object detection models.
I

Intel Corporation

May 2024 - July 2024
Unnati Industrial Trainee
Collaborated with a team of 2 on industry-level AI research, developing and optimizing AI/ML solutions with a focus on innovation, efficiency, scalability, and real-world deployment, achieving ≥90% accuracy.

Education

S

SRM Institute of Science and Technology

2023 - 2027
B.Tech Computer Science and Engineering w/s AI & ML
CGPA: 9.52 / 10. Relevant Coursework: Data Structures and Algorithms, Database Management Systems, Computer Networks, Operating Systems, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

Skills

Python
Java
Typescript
PyTorch
TensorFlow
Docker
AWS
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to various Deep Learning Architectures.

Vision Transformer

Vision Transformer

An implementation of Vision Transformer (ViT) from scratch using PyTorch. The model is trained and evaluated on the CIFAR-10 dataset, achieving competitive accuracy compared to traditional convolutional neural networks.

PyTorch
Python
Machine Learning
Deep Learning
Source
Physics Informed Neural Networks (PINNs)

Physics Informed Neural Networks (PINNs)

An implementation of Physics Informed Neural Networks (PINNs) using PyTorch to solve partial differential equations (PDEs). The model incorporates physical laws into the loss function, enabling it to learn solutions that adhere to the underlying physics of a ball curvature.

PyTorch
Python
Machine Learning
Deep Learning
Source
MediVision

MediVision

Engineered and implemented CycleGAN architecture to generate high-fidelity synthetic X-ray images for medical AI training, achieving 95% structural similarity and minimal loss convergence after 200 epochs.

Python
PyTorch
Machine Learning
Deep Learning
Next.js
Shadcn UI
Source
UniVision

UniVision

Developed an assistive learning platform for visually impaired students powered by Llama3 language model, addressing UN Sustainable Development Goal 4 (Quality Education) accessibility challenges.

Python
PyTorch
Machine Learning
Deep Learning
Next.js
Shadcn UI
Redis
Website
Achievements

Recognition & Accomplishments

  • S

    Second Runner Up

    Chennai, India

    Secured Third prize in the hackathon organised by DSBS Student Association under the theme inclusivity and accessibility.
  • S

    Second Runner Up

    Chennai, India

    Achieved Second Runner Up position in the SDG Hackathon 2024 by developing a solution for SDG 4: Quality Education.
  • R

    Runner Up

    Chennai, India

    Developed a mobile application which communcicates a victims medical data from inside an ambulance to doctors at hospital.
  • F

    Finalist

    Kochi, India

    Finalist at Times of India Quiz 2020 held at Kochi, India. Selected as top 6 teams from over 500 teams across Kerala.
Volunteering

Communities I am currently involved in or have been a part of in the past

  • F

    FOSS Club SRM

    Chennai, India

    Technical Maintainer at FOSS Club SRM, contributing to open-source projects, organizing workshops, and promoting open-source culture within the college community.
  • S

    SRMKZILLA

    Chennai, India

    Associate Technical Lead at SRMKZILLA, making open source contributions, making discord bots and websites, organizing tech events for the community.
  • A

    Alexa Developers SRM

    Chennai, India

    Technical Executive at Alexa Developers SRM, actively took sessions on Web Development and GitHub for club members.
Contact

Get in Touch

Have any questions or just want to say hi? Feel free to reach out with a direct question on LinkedIn or send me an email at sachinprasanth777@gmail.com

LinkedIn