Sachin · Lead Python / MLOps Engineer · 10+ yrs
PrincipalProof of scale
About Sachin
Sachin is a Senior Software Engineer with 10+ years of experience in MLOps and cloud technologies. He has a proven track record in developing and deploying machine learning models, optimizing data pipelines, and managing cloud infrastructure.
10+ years of commercial experience in
Skills(18)
Why 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.
Industry experience
HealthTech
3 projects- •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
AI / ML Platform
5 projects- •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. No agency markup confusion.
Typically responds within 4 business hours.
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Sachin
MLops Engineer