Vice President

Master of Science - MS

Bachelor of Technology - BTech

Engineered a scalable MLOps platform (Docker, Kubernetes, Jenkins, Airflow) delivering 50K+ real-time inferences/day with 80% faster rollouts, zero-downtime CI/CD, and less than 5% prediction error. •Boosted ML performance by 22% F1 via large-scale feature engineering (SageMaker, EMR, Dask, MLflow)and achieved 9% accuracy in time-series models and 28% higher precision in anomaly detection. •Automated 120+ ML pipelines across 500+ systems (Airflow, Databricks) and containerized 30+ microservices, processing 3 TB/day of telemetry to accelerate training and iteration. •Delivered RAG-based LLM assistant and API solutions (OpenAI, LangChain), parsed 1 TB+ logs with TensorFlow anomaly detection, and created dashboards that drove 15% retention lift and informed $5 M+investments.

AI Engineer

Built HBO Max's real-time recommendation engine using collaborative filtering and NLP, boosting session time by 19%, MAUs by 12%, and trailer conversions by 30%. •Migrated Spark pipelines to Docker-on-ECS with Spinnaker CI/CD and unified 5 TB/day streaming into an S3 data lake via Airflow + AWS Glue, cutting model delivery time by 30%. •Implemented CloudWatch/Prometheus monitoring, custom A/B and multi-armed bandit frameworks, reducing churn incidents by 0% and improving YoY churn by 8.5% and CTR by 2%. •Modularized ML assets in Databricks with MLflow lineage, mentored three junior data scientists, and led tech talks, doubling team velocity and elevating code quality.

Senior AI Engineer

Built HBO Max's real-time recommendation engine using collaborative filtering and NLP, boosting session time by 19%, MAUs by 12%, and trailer conversions by 30%.
•Migrated Spark pipelines to Docker-on-ECS with Spinnaker CI/CD and unified 5 TB/day streaming into an S3 data lake via Airflow + AWS Glue, cutting model delivery time by 30%.
•Implemented CloudWatch/Prometheus monitoring, custom A/B and multi-armed bandit frameworks, reducing churn incidents by 0% and improving YoY churn by 8.5% and CTR by 2%.
•Modularized ML assets in Databricks with MLflow lineage, mentored three junior data scientists, and led tech talks, doubling team velocity and elevating code quality.

Senior Data Scientist

Engineered a scalable MLOps platform (Docker, Kubernetes, Jenkins, Airflow) delivering 50K+ real-time inferences/day with 80% faster rollouts, zero-downtime CI/CD, and less than 5% prediction error.
•Boosted ML performance by 22% F1 via large-scale feature engineering (SageMaker, EMR, Dask, MLflow)and achieved 9% accuracy in time-series models and 28% higher precision in anomaly detection.
•Automated 120+ ML pipelines across 500+ systems (Airflow, Databricks) and containerized 30+
microservices, processing 3 TB/day of telemetry to accelerate training and iteration.
•Delivered RAG-based LLM assistant and API solutions (OpenAI, LangChain), parsed 1 TB+ logs with
TensorFlow anomaly detection, and created dashboards that drove 15% retention lift and informed $5 M+investments.

Founder

Know about Yashwanth Reddy Boddireddy's work experience, education, bootcamps, certifications, and much more. Yashwanth Reddy Boddireddy