Ajay Karthikeyan

About

I am a Medical AI engineer with a B.S. in Biology and a postgraduate certificate in AI and Machine Learning. I built a medAI chatbot to expedite physician documentation and have hands-on experience training CNNs for image classification, performing data analysis, and applying clinical domain knowledge from extensive hospital volunteering and shadowing.

Goals

I want to work as an engineer at medical AI startups, building tools that accelerate clinical workflows and physician documentation. My focus is on developing ML/AI solutions that improve efficiency and care delivery.

Stack

Languages

Python

Tools

Jupyter Notebook·

Google Colab·

GitHub

Frameworks/Algorithms

Convolutional Neural Networks (CNNs)·

Neural Networks·

RAG ·

Pytorch

Techniques / Applications

Image Classification / Image Recognition

Concepts

Machine Learning·

Artificial Intelligence

Techniques

Model training

Data / Analytics

Exploratory Data Analysis (EDA)·

Hypothesis Testing·

Data Visualization (graphs, reports)

Algorithms / Statistics

Linear Regression·

Logistic Regression

Applications

Product Recommendation / Customer Profiling

Domain Projects

Medical chatbot development

Domain Knowledge

Medical documentation / Clinical workflows·

Medical imaging (tumor/cancer recognition)

Clinical Skills

Patient charting·

Taking vitals & common medication administration

Soft Skills

Active listening·

Collaborative problem solving·

Safety planning / working with law & medical agencies·

Communication (patient, physician, remote/Zoom)·

Tutoring / teaching (AP subjects)

Selected Work

Featured

Image Classification using CNNs

Trained a convolutional neural network to identify plant species from seedling images and applied image recognition techniques to experiments aimed at recognizing tumors and cancer tissue to potentially expedite diagnosis and treatment.

Python · Convolutional Neural Networks · Image recognition

Data Analysis and Product Recommendation Based on Self-Reported Fitness

Analyzed self-reported health and fitness data to visualize customer segments and created product recommendations and customer profiles for treadmill models, assessing how biological and social traits influence purchase decisions.

Python · Data visualization · Basic machine learning

MedAI Chatbot for Medical Documentation

Developed a medical chatbot to expedite medical documentation for physicians by automating note generation and streamlining clinical documentation workflows, improving efficiency in creating patient records.

Python · NLP · Conversational AI

Experience

June 2020 – January 2023

Online Crisis Mediator

Crisis Text Line

Answered crisis text messages nationwide, using active listening, collaborative problem solving, and safety planning to de-escalate situations and coordinate with local law and medical agencies when needed.

June 2022 – December 2022

Volunteer / Emergency Room Assistant

Medical City Plano

Volunteered 300 hours assisting charge nurses with phone triage, restocking patient-room supplies, creating and maintaining patient charts, and providing patient comfort and transport within the emergency department.

March 2022 – May 2022

Shadowing — Dr. Christopher Kennedy (Emergency Room)

Medical City Plano

Observed emergency room workflows including patient diagnosis, medication administration, and treatment follow-up procedures to gain clinical insight into acute care.

October 2021 – December 2021

Shadowing — Dr. Srivalli Adari (Infectious Disease)

Medical City Plano

Observed diagnosis and treatment of infectious diseases such as HIV and COVID-19 and learned the clinical responsibilities of an infectious disease specialist.

August 2021 – October 2021

Virtual Shadowing Participant

MedSchoolCoach (online)

Virtually shadowed physicians across multiple specialties (urology, orthopedic surgery, child neurology), broadening knowledge of different medical fields and clinical practices.

August 2020 – May 2021

Student Researcher

University of Texas at Dallas

Worked under Dr. Li Zhang using PCR and cloning to insert gene fragments into plasmids and measured HRG-1 transport protein expression in cancer and non-cancer cell lines to study heme uptake in lung cancer.

August 2020 – May 2021

High School Tutor

Local Tutoring (private)

Tutored high school students in AP Biology, AP Physics, and AP Chemistry via Zoom and in-person, creating lesson plans and organizing activities to prepare students for AP exams.

January 2020 – March 2020

Student Researcher

Baylor University Medical Center

Interviewed ballistics trauma patients about symptom severity and recovery, collected and analyzed campus-wide data to inform future PTSD-focused studies.

May 2019 – August 2019

Student Volunteer / Business Intern

Medical City Plano

Volunteered 300 hours assisting front desk operations, patient assistance, and created detailed charts/graphics to help the director track patient-physician assignments and streamline workflow.

May 2018 – August 2018

Student Volunteer / Oncology Room Assistant

Medical City Plano

Volunteered 300 hours restocking patient-room supplies and assisted charge nurses with taking vitals and administering common medications in the oncology unit.

June 2017 – August 2017

Shadowing — Dr. Marvin Hsiao

Lee Eye Surgery Clinic

Observed ophthalmologic procedures such as cataract lens removal and glaucoma filtering surgery to learn about ophthalmology practice and surgical techniques.

Education

July 2022 – June 2023

PGP in Artificial Intelligence and Machine Learning

The University of Texas at Austin

Developed advanced Python skills, exploratory data analysis, hypothesis testing, linear and logistic regression, and built neural networks for image recognition using tools like Jupyter Notebook and Google Colab.

August 2017 – July 2021

B.S. in Biology, Minor in Psychology

The University of Texas at Dallas

Relevant coursework includes Medical Neuroscience; participated in patient vignettes to develop clinical reasoning and decision-making skills.