I am SAI KIRAN PRUDHIVI, a Data Scientist and ML Engineer focused on turning data into scalable, impactful AI solutions. I have 3+ years of experience designing and deploying high-throughput ML models, agentic GenAI systems, and distributed MLOps infrastructure. My work bridges engineering with measurable business outcomes, from data pipelines to production-grade AI systems. I enjoy building robust data platforms, optimizing transformers and LLM workflows, and collaborating with cross-functional teams to deliver AI that reduces latency, improves accuracy, and drives revenue.

SAI KIRAN PRUDHIVI

I am SAI KIRAN PRUDHIVI, a Data Scientist and ML Engineer focused on turning data into scalable, impactful AI solutions. I have 3+ years of experience designing and deploying high-throughput ML models, agentic GenAI systems, and distributed MLOps infrastructure. My work bridges engineering with measurable business outcomes, from data pipelines to production-grade AI systems. I enjoy building robust data platforms, optimizing transformers and LLM workflows, and collaborating with cross-functional teams to deliver AI that reduces latency, improves accuracy, and drives revenue.

Available to hire

I am SAI KIRAN PRUDHIVI, a Data Scientist and ML Engineer focused on turning data into scalable, impactful AI solutions. I have 3+ years of experience designing and deploying high-throughput ML models, agentic GenAI systems, and distributed MLOps infrastructure. My work bridges engineering with measurable business outcomes, from data pipelines to production-grade AI systems.

I enjoy building robust data platforms, optimizing transformers and LLM workflows, and collaborating with cross-functional teams to deliver AI that reduces latency, improves accuracy, and drives revenue.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Scientist at BrownFrame Technologies
April 1, 2022 - July 1, 2024
Built a real-time product recommendation engine using Scikit-learn, PySpark, and K-Means on Azure Data Lake, improving CTR by 14% and driving a $450K uplift in quarterly revenue. Ingested and transformed large transactional data via Airflow ETL pipelines to Snowflake, reducing analytical query times by 35% through feature engineering and indexing. Implemented a robust time series forecasting framework using CNN-RNN hybrids in TensorFlow to cut stockouts by 22% across regional distribution centers. Deployed ML microservices on Kubernetes with Kubeflow for 99.9% availability, and designed rigorous A/B testing and statistical validation to confirm improvements in user engagement. Built an automated image defect-detection system using CNNs in Keras to replace manual audits and boost throughput by 40%.

Education

Master of Science (MS) in Computer Science at Northern Arizona University, Flagstaff, AZ
August 1, 2024 - December 1, 2025
Bachelor of Technology (BTech) in Computer Science at Tirumala Engineering College, Andhra Pradesh, India
January 1, 2021 - May 1, 2024

Qualifications

AWS Academy Graduate - Cloud Foundations - Training Badge
January 11, 2030 - June 29, 2026

Industry Experience

Software & Internet, Professional Services, Computers & Electronics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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