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Sathvika Karri

@sathvikakarri

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Data engineer passionate about optimizing distributed systems and data solutions.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data engineering and machine learning.

I am a data engineer with a strong foundation in high-volume telemetry processing and scalable machine learning workflows. My experience includes designing and deploying a telemetry processing pipeline that efficiently handles over 60 terabytes of server logs across a 192-node HPC cluster. I have a proven track record of optimizing distributed systems and automating data workflows using Python, SLURM, and Bash utilities.

During my time as an AI Intern at the Defence Research and Development Organization, I developed a fake news classifier that achieved over 95% accuracy, showcasing my ability to leverage advanced machine learning techniques. I am passionate about solving real-world problems with data and have successfully implemented unsupervised learning models for anomaly detection in server telemetry behavior.

My educational background includes a Master’s degree in Computer Science from the New Jersey Institute of Technology, where I maintained a GPA of 3.57. I am committed to continuous learning and have developed a reproducible ML pipeline with extensive unit testing to ensure quality and reliability in my projects.

Experience

Work history, roles, and key accomplishments

Data Engineer

Verizon

Jan 2025 - May 2025 (4 months)

Designed and deployed a scalable telemetry processing pipeline handling 60+ TB of server logs across 192-node HPC clusters using SLURM job arrays. Engineered a high-efficiency Dask-based reduction framework achieving 99.8% storage reduction and converting nested JSON to structured CSV for ML modeling. Automated data ingestion workflows, job estimation, and checksum validation using Python scripts,

Python Dask Slurm HPC Anomaly Detection Machine Learning Data Ingestion BASH Poetry Unit Testing

AI Intern

Defence Research and Development Organization, Centre for Ar

Jan 2023 - Jul 2023 (6 months)

Developed a fake news classifier using BERT + LSTM, reaching 95%+ accuracy. Benchmarked SVM and Naïve Bayes models, boosting the F1 score by 20%. Presented AI deployment strategy to senior DRDO cybersecurity teams.