Sachin · ML Engineer · 10+ yrs
PrincipalAbout Sachin
Sachin is an experienced software engineer specializing in MLOps and cloud technologies. With a decade of experience, he has successfully managed and optimized machine learning pipelines, integrated cloud platforms like AWS and Azure, and implemented CI/CD practices. His work has led to significant business impacts, including cost savings and increased sales through predictive analytics. He is adept at leveraging cutting-edge technologies to enhance AI and ML workflows.
Core expertise
Additional skills(17)
Jenkins
SparkWhy hire Sachin?
Managed and optimized machine learning pipelines across AWS and Azure.
Developed scalable MLOps pipelines that improved deployment efficiency.
Achieved significant cost savings through predictive analytics platform development.
Achieved significant cost savings and increased sales by developing a predictive analytics platform.
Enabled seamless deployment of machine learning models into production environments.
Enhanced the scalability and reliability of microservices running ML models using Kubernetes and EKS.
Project highlights(8)
Predictive Analytics Platform – Senior Software Engineer
Overview: Developed a predictive analytics platform using machine learning models. Responsibilities: Developed a predictive analytics platform leveraging machine learning models, focused on forecasting product demand and optimizing inventory management. Achievements: Resulted in significant cost savings and increased sales.
Key outcomes:
Resulted in significant cost savings and increased sales.
Optimized inventory management.
MLOps Pipeline Development – Senior Software Engineer
Overview: Built scalable and resilient MLOps pipelines leveraging a broad range of AWS services. Responsibilities: Leveraged AWS services (S3, EMR, Glue, Redshift, EKS) to build scalable and resilient MLOps pipelines, maintained cross-compatibility with Azure for optimal performance. Achievements: Built scalable and resilient MLOps pipelines across AWS and Azure.
Key outcomes:
Built scalable and resilient MLOps pipelines across AWS and Azure.
AWS and Azure Integration – Senior Software Engineer
AWS + Azure cross-cloud Integration — scalable + resilient MLOps pipelines with AWS S3 + EMR + Glue + Redshift + EKS + Azure cross-compatibility.
Key outcomes:
Built scalable and resilient MLOps pipelines across AWS and Azure.
CI/CD Pipelines – Senior Software Engineer
CI/CD Pipelines — implemented + maintained CI/CD pipelines on serverless architectures with AWS + Jenkins + Docker.
Key outcomes:
Enabled seamless deployment of machine learning models into production environments.
Kubernetes and EKS Management – Senior Software Engineer
Kubernetes + EKS Management — administered Kubernetes namespace-level operations within AWS EKS enhancing microservices scalability + reliability for ML models.
Key outcomes:
Enhanced the scalability and reliability of microservices running ML models using Kubernetes and EKS.
10+ years of industry experience
- •MLOps Pipeline Development— Senior Software EngineerAWS · Azure · Kubernetes
- •AWS and Azure Integration— Senior Software EngineerAWS S3 · AWS EMR · AWS Glue · AWS Redshift +2
- •Cloud-Based Data Lake Architecture— Senior Software EngineerAWS S3 · AWS EMR
- •Predictive Analytics Platform— Senior Software EngineerPython · TensorFlow · PyTorch · scikit-learn
- •MLOps Pipeline Development— Senior Software EngineerAWS · Azure · Kubernetes
- •CI/CD Pipelines— Senior Software EngineerAWS · Jenkins · Docker
- •Cloud-Based Data Lake Architecture— Senior Software EngineerAWS S3 · AWS EMR
- •Data Pipeline Orchestration— Senior Software EngineerApache Airflow
At a Glance
Single contract. Billed in USD.
Typically responds within 4 business hours.
Top Skills
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Sachin
MLops Engineer