Sai Varun Degala

AI & Machine Learning Engineer

Professional Summary

Computer Science graduate with strong proficiency in programming, data structures, and object-oriented design. Experienced in developing clean, efficient software solutions through academic and project work, with solid problem-solving skills and a quick learning mindset. Specialized in Deep Learning and Cloud Architecture, with a unique interest in the Biomedical intersection.

Technical Expertise

Programming & Frameworks

Python, Java, C, SQL, PyTorch, TensorFlow, Scikit-Learn, REST APIs

Clouds & Infrastructure

Google Cloud Platform (GCP), Vertex AI, Git & GitHub, CI/CD, Version Control

Data Science & Algorithms

Data Structures & Algorithms, OOP, Software Design, Debugging, Statistical EDA

Core Competencies

Problem Solving, Analytical Thinking, Team Collaboration, Time Management
Professional Experience
Campus Ambassador 09/2025 — Present
Google Gemini | Hyderabad, India
  • Platform focusing on Google's products and technology initiatives.
  • Orchestrating technical workshops on Gemini 1.5 Pro and multimodal API integration.
  • Mentoring student developer teams on building LLM-based solutions on Google Cloud.
Junior Biomedical Engineer (Intern) 12/2022 — 05/2023
Yashoda Hospitals | Hyderabad, India
  • Performed critical diagnostics and preventative maintenance for advanced clinical hardware in Operation Theaters.
  • Optimized hospital device data protocols and applied engineering logic to device workflows.
Certifications
Learning Paths & Courses
Java Back-End and Soft Skills TNS Foundation

Implemented full CRUD operations using RESTful APIs, layered architecture, and database integration with robust validation and exception handling.

Data Science QSpiders

Comprehensive training in Python covering data analysis, preprocessing, visualization, and foundational machine learning techniques using industry-standard libraries.

Key Projects
Data Validation Pipeline

Led development of a scalable backend pipeline to ingest CSV/JSON data, enforcing schema and data type validations to support downstream ML systems.

Custom Email Generator using LLMs

Designed an application to categorize incoming emails and generate personalized responses using LLM-based text generation to improve communication efficiency.

ML-based Diagnosis Prediction

Built and tested a machine learning model for forecasting disease likelihood using patient vitals in telemedicine applications.

Spectrogram Analysis for Audio Visualization

Developed a model to convert environmental and speech sounds into time-frequency spectrograms for advanced audio feature extraction.

Education
B.Tech in Artificial Intelligence & Machine Learning 09/2023 — Present
Kommuri Pratap Reddy Institute of Technology (KPRIT), HYD
Diploma in Biomedical Engineering 08/2021 — 05/2023
Government Institute Of Electronics, HYD
Contributions & Leadership