Machine Learning Medical Coding

MADHU PREETHI KAKARLA VENKATA

321-***-**** ************@*****.*** www.linkedin.com/in/madhu-preethi-k-v EDUCATION

Florida Institute of Technology – Melbourne, FL

Master of Science in Biomedical Engineering May 2025 Saveetha School of Engineering – Chennai, India

Bachelor of Technology in Biomedical Engineering December 2021 SKILLS

Category Skills

Medical Imaging &

Monitoring

EEG, MRI, fMRI, CT, X-ray, Ultrasound, Eye Tracker, TMS, fNIRS, Infrared Microscope

Laboratory Techniques Aseptic Technique, Sample Preparation, Reagent Preparation, Quality Control (QC), Microscopy, Sterilization

Specialized Software MATLAB, LabVIEW, SPSS, Experimental Builder Office & Data Tools Microsoft Word, Excel, PowerPoint, Adobe Acrobat Advanced Analytics Statistical Analysis, Machine Learning Models Research Techniques Nanomaterial Synthesis, Cell Culture, Biological Impact Interpretation

Regulatory & Quality

Compliance

Medical Coding, Regulatory Compliance, Good Laboratory Practices (GLP), Patient Safety

CERTIFICATIONS

• Basic Life Support (BLS) - American Health Training (Issued: June 2025 · Expires: June 2027)

• Project Management: Healthcare Projects - LinkedIn (Completed: June 2025) PROFESSIONAL EXPERIENCE

Episource

Medical Coding Intern October 2021 – December 2021

• Gained in-depth knowledge of anatomy and human physiology.

• Accurately performed medical coding, ensuring compliance and proper classification for billing and documentation.

KaaShiv Infotech

Medical Imaging Intern August 2020 – December 2020

• Gained hands-on experience with MRI, CT, ultrasound, EEG,EKG,EMG and troubleshooting biomedical equipment for optimal performance. PROJECT EXPERIENCE

Florida Institute of Technology

Thesis Project: Insights Into the Aging Brain – Using Blink-Related Brainwaves to Predict Brain Health Aug 2023 – May 2025

• Evaluated blink-related oscillations (BROs) to detect cognitive aging patterns.

• Applied machine learning models to enhance prediction accuracy.

• Contributed to non-invasive approaches for early detection of brain health decline. 3D Bioprinted Vascularized Tissue

• Utilized live cardiomyocytes (human induced pluripotent stem cells) and GelMA/collagen-based hydrogels as bioinks for cardiac tissue scaffolding in a bioprinting system.

• Performed controlled radiation exposure and analyzed outcomes using Live/Dead staining and immunofluorescence to interpret the biological impact of radiation at the tissue level.

Saveetha School of Engineering

Published: Comparison of Reading Aid for Blind Individuals Using Raspberry Pi vs. Python- Based System November 2023

• Developed a Python-based solution to improve accessibility over traditional microprocessor setups.

• Conducted comparative analysis demonstrating superior performance of the Python model.

IIITDM Kancheepuram – MaDeIT Innovation Foundation INNOVA Startup Sandbox Program for Women in Science & Technology (Dec 2019)

• Participated in an intensive entrepreneurship and innovation bootcamp focused on STEM women.

• Collaborated on a startup project related to low-cost medical device prototyping and market research.

• Attended workshops on ideation, design thinking, product pitching, and business development.

• Explored practical aspects of launching a MedTech product in the Indian healthcare ecosystem.

AWARDS & ACTIVITIES

• Nominee, Student Employee of the Year, Florida Tech – for leadership and dedication.

• Member, Biomedical Engineering Society (BMES) – participated in academic events.

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