Hi, I’m Saumit

About Me

I am an Applied Machine Learning Engineer with over three years of experience specialized in building FDA-approved computer vision models for medical imaging. Currently, I am pursuing my Master of Science in Electrical Engineering at North Carolina State University. My expertise spans generative AI, audio signal processing, and medical diagnostics, with a focus on creating high-impact, regulatory-standard AI solutions.

Education

• M.S. in Electrical Engineering, North Carolina State University (2027)
• B.Tech in Electrical & Electronics Engineering, Manipal Institute of Technology (2022)

Professional Experience

DeepTek.ai | Data Scientist

June 2022 – July 2025

At DeepTek, my primary focus was on developing computer vision based segmentation models for chest X-ray scans. Besides just training models across multiple experiments, I also owned the entire lifecycle of the models from data collection, cleaning, auditing, packaging for deployment, monitoring performance and reporting to customers.

I also led a team of interns in developing an internal tool to evaluate ML experiments at scale.

Anheuser-Busch InBev | Automation Intern

January 2022 – May 2022

Publications

• A Comprehensive Evaluation of DeepTek CXR Analyzer in Detecting and Localising Suspicious Findings in Chest X-rays (ECR 2024)
• Artificial Intelligence as a Proficient Tool in Detecting Pulmonary Tuberculosis in Massive Population Screening Programmes (JRM 2024)

Technical Skills

• Programming Languages: Python, R
• ML & AI: PyTorch, TensorFlow, Keras, Transformers, Ollama, LangChain, Generative AI, RAG , LangFuse
• Data & Pipelines: SQL, MongoDB, Azure Data Factory, MLFlow, Pandas, NumPy, OpenCV
• Version Control & MLOps: Git, DVC