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Adithi Deborah Chakravarthy

Adithi Deborah Chakravarthy

📍 Austin, TX | 📧 adithi.deborah@gmail.com | 🔗 LinkedIn | 📥 Download Resume

🚀 Summary

PhD AI Scientist with 3+ years of industry experience deploying scalable ML systems and 1 granted + 2 pending patents. Specialized in computer vision, facial recognition, and deep learning model deployment using AWS, Docker, and Python. Proven record of translating research into production-ready AI systems for public safety and surveillance.

💼 Work Experience

AI Developer

Guardian RFID, Maple Grove, MN | May 2021 - Feb 2024

  • Developed and deployed ML systems for facial recognition, object/inmate tracking, and officer scoring — foundational to 3 patent filings.
  • Led full ML pipeline from data ingestion to API deployment using PyTorch, TensorFlow, FastAPI, Docker, and AWS.
  • Established automated CI/CD pipelines for ML model testing and production deployment.

Full Stack Developer Intern

PayPal, Omaha, NE | May 2020 - Aug 2020

  • Built analytics dashboards using Dash and React.js for internal operations.
  • Integrated Oracle DB and MS SQL backends to streamline developer tracking and insights.

Instructor

University of Nebraska at Omaha, Omaha, NE | Aug 2017 - May 2021

  • Taught courses in Web Development and Java; mentored students through project-based learning.
  • Supported CS II curriculum design and student engagement strategies.

🎓 Education

Ph.D. in Information Technology — University of Nebraska at Omaha, USA
M.Sc. in Artificial Intelligence — University of Southampton, UK
B.E. in Computer Science and Engineering — Anna University, India

⚙️ Skills

Languages: Python, Java, R, SQL, JavaScript
Frameworks: PyTorch, TensorFlow, Keras, Flask, FastAPI, OpenCV
Tools: Docker, AWS, Git, JIRA, Postman
DevOps: CI/CD, AWS Lambda
Front-End: React.js, HTML, CSS

📜 Patents

📄 Publications

Google Scholar Citations h-index

For full list and live citation metrics, see Google Scholar Profile ↗

  • Chakravarthy, A. D. et al., Towards automated distortion and health correlation for age-related macular degeneration, IEEE BIBE, 2017.
  • Chakravarthy, A. D. et al., Predictive models with resampling: A comparative study of ML algorithms and their performances on handling imbalanced datasets, IEEE ICMLA, 2019.
  • Chakravarthy, A. D. et al., Automatic detection of toxoplasmosis using fundus images, IEEE BIBE, 2019.
  • Chakravarthy, A. D. et al., A thrifty annotation generation approach for semantic segmentation of biofilms, IEEE BIBE, 2020.
  • Chakravarthy, A. D. et al., Semantic image segmentation using scant pixel annotations, Machine Learning and Knowledge Extraction, 2022.

📋 Certifications

💻 Projects

Facial Recognition System 🔍

  • Patent-pending deep learning facial recognition model with 92% accuracy deployed in correctional settings.
    Tech: PyTorch, Flask, Dlib, MS SQL

Officer Scoring Algorithm 📊

  • Machine learning scoring engine for correctional officer efficiency, now patented.
    Tech: Jupyter, Scikit-learn, MS SQL

Real-time Inmate Tracking 🚨

  • CV-based live tracking platform leading to measurable safety improvements; patent pending.
    Tech: TensorFlow, Keras, FastAPI, MS SQL

🌐 Languages

  • English (Fluent)
  • Tamil (Native)

📄 References

Available upon request.

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