Aman Pathak

Machine Learning Engineer

Gainesville, Florida, United States3 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed impactful NLP solutions for healthcare.
Published work in prestigious journals like Nature.
Experience in both healthcare and fintech industries.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Healthcare and Fintech applications.

Contact

aman.pathak@ufl.edu LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningMlops

Other Skills

AlgorithmsAnalytical SkillsApplied Machine LearningArtificial Intelligence (AI)Computer VisionCredit Risk ManagementData AnalysisData ManipulationData PrivacyData ScienceData VisualizationDeep LearningElasticsearchGenerative AIGit

About

I'm a Machine Learning Engineer who loves building AI solutions that make a real difference in healthcare. My work has been featured in journals like Nature, and I'm proud that the systems I build are helping doctors work more efficiently and provide better patient care. At the UF Health, I get to work with complex medical data and turn them into insights using NLP. Whether it's helping identify health risks early or making it easier for doctors to review medical records, I focus on creating practical solutions that work in the real world. My skills includes building and fine-tuning large language models, creating automated systems that can understand text, and developing AI applications that are both powerful and user-friendly. Before healthcare, I worked in fintech, where I built ML systems to help make better lending decisions. Beyond technology, I'm a photographer, a black belt in Shotokan Karate and love cooking. I'm also training for my first marathon - because why not challenge yourself, right? Always excited to connect with fellow tech enthusiasts and explore new opportunities in Machine Learning and AI! Looking for roles where I can continue building impactful AI solutions that matter!

Experience

Uf health

Machine Learning Engineer

May 2023 – Present · 2 yrs 10 mos · Gainesville, Florida, United States · On-site

Working on multiple initiatives at UF Health, where I develop and deploy industrial grade NLP solutions (LLMs, BERT, GPT-4) that have a real impact on healthcare. My work spans from information extraction from thyroid ultrasounds, detecting veteran suicide risks to analyzing Alzheimer's patients sleep patterns, with publications in Nature and AMIA.
Currently focusing on building scalable NLP systems that process millions of clinical notes, while collaborating with multi-institutional research teams to advance healthcare AI applications.

Natural Language Processing (NLP)Large Language Models (LLM)Machine LearningData AnalysisPython

University of florida

Machine Learning Graduate Research Assistant

Jun 2022 – Apr 2023 · 10 mos · Gainesville, Florida, United States · On-site

As a Graduate Research Assistant at UF, I worked on developing NLP solutions to help identify at-risk veterans and streamline healthcare operations. I also built systems to safely de-identify patient records, ensuring both quick access for multiple research studies and patient privacy protection.
This work led to my transition into a full-time Machine Learning Engineer role at UF, where I am a part of larger healthcare AI initiatives.

Natural Language Processing (NLP)Data PrivacyMachine Learning

Monsoon credittech

Machine Learning Engineer

Aug 2020 – Jul 2021 · 11 mos · New Delhi, Delhi, India · Hybrid

Developed and deployed production-grade credit scoring models for leading banking clients, combining traditional ML with modern MLOps practices. Built end-to-end model pipelines achieving significant improvements in default prediction and portfolio performance. Implemented robust testing and monitoring systems ensuring reliable model performance in production.

Machine LearningMLOpsCredit Risk ManagementData Analysis

Hvantage technologies inc usa

Data Science Intern

Feb 2020 – Aug 2020 · 6 mos · Madhya Pradesh, India · On-site

Enhanced hand-written document digitization workflows through computer vision and NLP techniques. Developed an image preprocessing pipeline that significantly improved OCR accuracy for real estate form processing. Implemented automated entity extraction systems, demonstrating the impact of AI in streamlining business operations

Computer VisionNatural Language Processing (NLP)

Codenscious technologies pvt. ltd

Deep Learning Engineer Intern

Apr 2019 – Jul 2019 · 3 mos · Indore, India · On-site

Reduced class attendance time to 5 seconds with 94.3% accuracy by developing an IP webcam system using YOLOv3, enabling students to record attendance from their devices.

Deep LearningComputer Vision