Lakshmi Vinay V
New York,NY
Summary
Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies. Innovative Machine Learning Engineer recognized for high productivity and efficient task completion. Possess specialized skills in algorithm development, data modeling, and neural networks which enable tackling complex problems with precision. Excel in teamwork, communication, and adaptability, ensuring seamless collaboration and innovative problem-solving in fast-paced environments.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Machine Learning Engineer
IBM
New York, NY
08.2023 - Current
- Supported deployment and maintenance of Generative AI services on AWS and Azure cloud platforms.
- Provisioned scalable ML infrastructure using Terraform, reducing deployment time by 30%.
- Monitored Kubernetes (OpenShift) clusters, diagnosing failures and optimizing container performance.
- Developed Python scripts to automate health checks, log monitoring, and model retraining triggers.
- Enhanced fault tolerance for AI/ML pipelines with Ray and AWS services like SageMaker and S3.
- Deployed and managed containerized ML models using Docker, Kubernetes, and TensorFlow Serving.
- Collaborated with DevOps to optimize CI/CD pipelines for real-time ML serving.
- Provided L2/L3 support for platform users, resolving deployment issues and performance bottlenecks.
Machine Learning Engineer
Cognizant Technology Solutions, CTS
India
07.2019 - 07.2022
- Deployed ML models in cloud environments (AWS, Azure ML) using Docker containers.
- Automated data pipeline provisioning and model retraining workflows with Terraform scripts.
- Conducted service debugging for AI/ML microservices in Kubernetes, enhancing uptime.
- Implemented Python monitoring scripts for service health checks and model drift detection.
- Supported CI/CD pipeline enhancements for MLOps projects utilizing Kubernetes and cloud feature stores.
- Collaborated with SRE and DevOps teams on platform support and incident resolution tasks.
- Visualized pipeline performance and model metrics through Looker and custom dashboards.
Education
Master of Science - Artificial Intelligence
University At Buffalo, SUNY
Buffalo, NY05-2024
Skills
- Cloud platforms: AWS, Azure ML, GCP
- Infrastructure tools: Terraform, Kubernetes, Docker
- Programming languages: Python, SQL, Shell scripting
- DevOps and MLOps: GitHub Actions, MLflow, Kubeflow
- Monitoring tools: Prometheus, Grafana, Looker
- Database management: Redshift, PostgreSQL, NoSQL
- Data visualization: Looker, Tableau, Plotly
Certification
- Azure AI Engineer Associate Certified
- Salesforce AI Associate Certified
Timeline
Machine Learning Engineer
IBM
08.2023 - Current
Machine Learning Engineer
Cognizant Technology Solutions, CTS
07.2019 - 07.2022
Master of Science - Artificial Intelligence
University At Buffalo, SUNY
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