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PRADEEP
SENTHIL

Founding Machine Learning Engineer.
Building intelligent systems for healthcare, security, and beyond.

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MACHINE LEARNING ✦ MLOPS ✦ COMPUTER VISION ✦ HEALTHCARE ✦ DEEP LEARNING ✦ MACHINE LEARNING ✦ MLOPS ✦ COMPUTER VISION ✦

ABOUT
ME

Founding Machine Learning Engineer with expertise in MLOps, computer vision, and healthcare applications. Graduate from UIUC with both B.S. and M.S. in Computer Science.

Currently at Alto Pharmacy leading ML infrastructure, from Kafka service optimization to Kubeflow modernization. Passionate about building production ML systems that improve patient outcomes and enhance operational efficiency.

AI & MLOPS

  • ▶ Kafka
  • ▶ PyTorch
  • ▶ Kubernetes
  • ▶ Kubeflow
  • ▶ SLM

LANGUAGES

  • ▶ Python
  • ▶ Ruby
  • ▶ Typescript
  • ▶ Bash

FRAMEWORKS

  • ▶ Ruby on Rails
  • ▶ React
  • ▶ Django
  • ▶ Docker
  • ▶ Fastapi
  • ▶ Flask
  • ▶ NodeJs

EXPERIENCE

Founding Machine Learning Engineer

Alto Pharmacy

Aug 2024 – Current
  • Refactored all ML Kafka message processing services (100K+ messages/day), cutting peak message lag by over 40% and reducing debugging time by half
  • Single-handedly migrated all ML codebases from AWS CodeCommit to GitHub and CI/CD pipelines to GitHub Actions, reducing deployment flakes by 90%+
  • Maintained Alto's data platform (Airflow, DBT, Snowflake, Looker) supporting 10+ analysts and 70+ business stakeholders
  • Upgraded production Kubeflow (1.6→1.9) with zero service interruption, reducing cloud infrastructure costs by 5x
  • Built production OCR framework using AWS Textract to extract structured data from prescription faxes, automating 2000+ prescriptions monthly
  • Collaborated with CTO, VPs and Directors to foster engineering excellence, upskilling data scientists on Kubernetes, Observability, and CI/CD
Machine Learning Engineering Focus

Software Engineer - Supply Chain

Alto Pharmacy

Jul 2023 – Aug 2024
  • Engineered bulk and on-demand ordering systems to decrease Out Of Stock (OOS) rate by 30%, improving inventory turnover and reducing costs
  • Reduced pricing system response time by 30% through data quality improvements and database schema optimizations, supporting 50k+ daily transactions
  • Eliminated 80%+ of inventory/pricing-related engineering escalations by building self-service automation tools, saving 10+ engineering hours weekly
Software Engineering Focus

Graduate Research Assistant

AIFARMS

Sep 2021 – May 2023
  • Designed and developed a deep learning analysis framework to process over 30 terabytes of swine research video into actionable metrics
  • Designed CNN algorithm to automatically segment brain gray matter from pig MRI images, achieving a mean IoU score of 94%. Orally presented at SBR 2022 research conference
  • Designed and developed AVAT, an open-source video annotation tool for behavioral and computer vision applications
Machine Learning Engineering Focus Research Focus

Software Engineering Intern

Walrus Security

Jan 2022 – Aug 2022
  • Developed an automated solution to generate a large synthetic deepfake dataset consisting of over 30,000 deepfake videos for internal analysis and training
  • Researched and developed POC deep learning models achieving 70% deepfake detection rate on the Facebook DFDC dataset
  • Created Doublecheck: Django models and management scripts that improved facial recognition system by reducing false positivity rate by over 80%
Machine Learning Engineering Focus

EDUCATION

University of Illinois - Urbana Champaign

Aug 2021 - May 2023

Masters of Science - Computer Science

Advisors: Dr. Matthew C. Caesar, Dr. Ryan N. Dilger

Courses: Deep Learning for Healthcare, Topics in Software Engineering, Topics in Internet of Things

University of Illinois - Urbana Champaign

Aug 2017 - May 2021

Bachelors of Science - Computer Science

Courses: Data Structures, UI/UX Design, Algorithms, Applied Machine Learning, Computer Security

PROJECTS

Machine Learning

Realtime Pig Tracking System

Deep learning framework processing 30+ terabytes of swine research video into actionable metrics for animal behavior analysis.

Python PyTorch Computer Vision TensorFlow
Machine Learning

MRI Mask Segmentation

CNN algorithm to automatically segment brain gray matter from pig MRI images achieving 94% mean IoU. Orally presented at SBR 2022.

Python PyTorch Medical Imaging CNN
Machine Learning

Deepfake Detection System

Deep learning models achieving 70% detection rate on the Facebook DFDC dataset.

Python PyTorch Computer Vision GAN

AVAT

Tool

AVAT

Open-source video annotation tool for behavioral and computer vision applications.

Python React Django
Production ML

Fax OCR Framework

Production OCR system using AWS Textract to extract structured data from prescription faxes, automating 2000+ prescriptions monthly.

Python AWS Textract OCR Healthcare

PUBLICATIONS

PigBET: A 2.5D deep learning segmentation framework for multimodal and longitudinal domestic pig MRI utilizing ImageNet pre-trained encoders

Deep learning framework for automated MRI segmentation in veterinary research applications.

Feeding style alters the growth and behavior of artificially-reared pigs

Research study on behavioral analysis in swine using computer vision and machine learning techniques.