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Pritika BuggaPB
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Pritika Bugga

@pritikabugga

Graduate computer scientist focused on security, full‑stack development, and privacy-preserving ML.

United States
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What I'm looking for

I am seeking security‑focused software roles where I can apply privacy‑preserving ML, secure full‑stack development, cloud/DevOps practices, and continue learning in collaborative, growth‑oriented teams.

I am a graduate student in computer science specializing in security with hands‑on experience building full‑stack applications and privacy‑focused machine learning solutions. I have delivered production-oriented features like a Patient Tracker app integrating FastAPI and GPT APIs, and implemented secure systems including AES-256 GCM encryption and Diffie‑Hellman key exchange.

My research work explored differential privacy techniques (Laplace, Gaussian noise, randomized response) and developing privacy‑preserving ML models while tuning privacy parameters to balance security and accuracy. I also interned in software development where I built appointment and geolocation features using Google Maps APIs to improve user workflows.

I bring strong academic performance, practical experience with cloud and DevOps tools (AWS, Docker, Kubernetes), and a security certification (CompTIA Security+)—I seek to apply rigorous security practices and continuous learning to real‑world engineering problems.

Experience

Work history, roles, and key accomplishments

CA

Software Development Intern

Caremagix

May 2025 - Aug 2025 (3 months)

Designed and built a Patient Tracker app using FastAPI and GPT API to extract EHR data, summarize clinical notes, and automate progress reporting; implemented an appointment system with geolocation and Google Maps API to surface nearby providers and improve scheduling workflows.

University of North Carolina at Charlotte logoUC

Computer Science Research Assistant

University of North Carolina at Charlotte

May 2024 - Aug 2024 (3 months)

Researched differential privacy techniques (Laplace & Gaussian noise, randomized response) for AI models and developed privacy-preserving ML models, integrating privacy-parameter tuning to balance data security and model accuracy.

Education

Degrees, certifications, and relevant coursework

North Carolina State University logoNU

North Carolina State University

Master of Science, Computer Science

Pursuing a Master of Science in Computer Science with a Security track, expected May 2027.

The University of North Carolina at Charlotte logoTC

The University of North Carolina at Charlotte

Bachelor of Science, Computer Science

Grade: GPA: 3.86 (Cumulative); 3.94 (Computer Science)

Activities and societies: Relevant coursework: Information Security & Privacy, Software Engineering, Cloud Computing, Data Structures & Algorithms, Computer Networks, Operating Systems, Applied AI

Completed a Bachelor of Science in Computer Science with a focus on Systems and Networks, graduated May 2025 with a cumulative GPA of 3.86.

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Pritika Bugga - Software Development Intern - Caremagix | Himalayas