Vamsi Yarnoka
Professional Summary
Machine Learning Engineer with 0 years of experience building academic ML prototypes and database solutions; skilled in Python, TensorFlow, OpenCV and SQL with hands-on experience building an AI-based online exam proctoring prototype and SQL Server database objects.
Technical Skills
Work Experience
- Developed normalized database schemas and created sample SQL Server databases to model typical business entities for hands-on lab exercises using SQL Server Management Studio.
- Implemented tables, views and clustered/non-clustered indexes using T-SQL to model data and improve query patterns for training datasets.
- Authored parameterized stored procedures and functions to encapsulate repetitive logic and demonstrate modular T-SQL development practices.
- Built data load and validation scripts using T-SQL and BULK INSERT to populate realistic sample datasets for instructor-led labs.
- Documented database objects and produced step-by-step lab guides to ensure consistent trainee onboarding and reproducible exercises.
- Collaborated with trainers to troubleshoot complex queries and refactor stored procedures to improve execution efficiency in training scenarios.
Projects
- Designed and trained a Convolutional Neural Network in TensorFlow for real-time face recognition to verify candidate identity during online exams.
- Implemented OpenCV-based gaze estimation pipeline to detect suspicious eye movements and flag potential cheating behavior in live video streams.
- Built a voice activity detection module using Python audio processing to detect unauthorized verbal communication during assessment sessions.
- Packaged a prototype application that captures live video, runs detection pipelines, and logs events to reduce dependence on manual proctoring for remote assessments.
Education
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