Devam Sheth

Devam Sheth

Software Engineer – AI/ML at AWS

About

Hi, I'm Devam Sheth 👋
Fascinated by the wonders of nature and the complexities of human behavior, I love exploring new ideas and expanding my understanding of the human mind, intelligence, and science in general.

2025 - Present

SDE-AI/ML at AWS

Focusing on Productionizing AI features and improving the systems that power them at scale.

2024 - 2025

Data Scientist at Mayo Clinic

Advancing AI in Healthcare through machine learning and deep learning solutions.

2022 - 2024

MS in Computer Science at ASU

Research Assistant at Wu Labs ASU working on Biomedical Imaging, Deep Learning, Computer Vision and NLP.

2018 - 2022

B.E. in Mechanical Engineering (Minor: Computer Engineering)

Started my journey in tech, developing interest in AI and machine learning.

Publications

Multi-Modal Foundation Models for Medical Imaging — Nature Scientific Reports (2024)

Interests

  • 🤖 AI Agents & Workflow Automation
  • 🧠 Artificial Intelligence & Machine Learning
  • 👁️ Computer Vision & NLP
  • 📊 Data Visualization & Analytics
  • 📝 Technical Writing on Medium

📲 You can reach me at devamsheth20@gmail.com or linkedin.com/in/devam-sheth21

Writing

I write about AI, ML, and data on Medium.

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Projects

AI Brain

MLLM Hallucination Evaluation

MLLM Hallucination Evaluation

Evaluating Multimodal LLMs like InstructBLIP and Open-Flamingo for hallucination detection.

View Project →
Space

NASA Exoplanets

NASA Exoplanets

Interactive D3.js visualization with k-means clustering for NASA Exoplanets data.

View Live Demo →
VAST Challenge

VAST Challenge 2021

VAST Challenge 2021

Data visualization for investigating missing persons using GPS and credit card data.

View Live Demo →
Engineering

Finite Element Analysis

Finite Element Analysis

Python code for calculating stiffness matrices and stresses in trusses and springs.

View Project →
Simulation

GUI Diffusion Solver

GUI Diffusion Solver

CFD GUI solver for 2D diffusion equation using Python tkinter.

View Project →

Resume

You can view my resume here.

View Resume (PDF)