About

I moved from Hyderabad to Tampa on a hunch — that the same instinct for hunting down anomalies in a spreadsheet would translate into building software. It held up. I spent two years at Deloitte building automated data pipelines and machine-learning fraud-detection models — I liked the modeling a lot more than the audit — before starting an M.S. in Business Analytics & Information Systems at the University of South Florida (ended up teaching deep learning to a class of my own along the way). Today I'm a full-stack engineer at GroundGame.Health, architecting an AI-driven product from 0 to 1 across web and mobile. Three domains — finance, education, health-tech — but the same habit every time: take messy data, build the pipeline and the product around it, and ship something people actually use.

3+
Years in production engineering
0→1
AI product shipped at GroundGame.Health
50%
Faster data pipelines at Deloitte
30+
Students mentored in deep learning at USF

Work

Three domains, one throughline: architect the pipeline, build the product, ship it.

Jun 2025 – Present

Software Developer — GroundGame.Health

  • Architected an AI-driven member engagement product from 0 to 1, shaping how the company reaches healthcare members at scale across web and mobile.
  • Deployed agentic AI to fully automate the QA workflow, eliminating hours of manual testing per release cycle.
  • Designed and developed RESTful APIs using .NET and Node.js powering React and React Native frontends.
  • Built interactive Power BI dashboards for real-time health program metrics, cutting manual reporting by 40%.
  • Used Python and SQL for data processing and automation against a Snowflake-backed data platform.
Feb 2025 – May 2025

Graduate Assistant, Deep Learning — University of South Florida

  • Supported graduate instruction on CNNs, RNNs, transformers, and transfer learning for 30+ students.
  • Guided students debugging model implementations in TensorFlow/PyTorch.
  • Developed supplementary coding examples that accelerated comprehension of deep learning theory.
Aug 2021 – Jul 2023

Analytics Specialist — Deloitte & Touche LLP

  • Engineered automated data pipelines with Alteryx and Python, cutting processing time by 50% across audit engagements.
  • Built dynamic Tableau dashboards, increasing actionable insights by 20% and cutting reporting effort by 40%.
  • Applied statistical modeling and anomaly detection to identify control failures and support fraud detection.
  • Automated data validation with Python and SQL, reducing delivery timelines by 30%.
  • Recognized with multiple Spot Awards for innovative analytical solutions and client service.

Skills

Frontend
React, React Native, JavaScript, TypeScript, iOS/Android, responsive UI
Backend & APIs
Node.js, .NET, REST APIs, microservices, Pub/Sub, Redis, Python
Cloud & DevOps
GCP, Azure, Docker, Kubernetes, Git/GitHub, CI/CD
Data & AI/ML
Snowflake, SQL, BigQuery, Agentic AI, LLMs, TensorFlow, PyTorch, NLP
Visualization
Power BI, Tableau, Matplotlib, Alteryx, SAS, R, Excel
Domains
Health-Tech, IoT / Real-Time Data, Financial Services, Audit Analytics

Education

USF

M.S. Business Analytics & Information Systems

University of South Florida, Tampa, FL

CBIT

B.E. Electronics and Communication Engineering

Chaitanya Bharathi Institute of Technology, Hyderabad, India

  • Dr. V.M. Rao Medal for Best Performance in Research.

Contact

Based in Tampa, FL and open to new opportunities. The best way to reach me is by email.

mprajay999@gmail.com →