Manas Das

Background

About Manas Das

I’m a Senior Data Engineer & AI Specialist with over 6 years of experience delivering end-to-end, production-grade AI and data solutions that power analytics, automation, and intelligent decision-making. My expertise spans Machine Learning, Deep Learning, NLP, Data Analysis, DevOps, MLOps, Cloud Infrastructure, Platform Engineering, Data Engineering, and on-premise architectures—with a proven track record of architecting systems that are as scalable as they are impactful.I design, develop, and optimize secure, high-performance data architectures and pipelines—from ETL/ELT workflows that unify structured and unstructured data, to cloud-hybrid platforms leveraging AWS (SageMaker AI, Neptune Analytics, Athena, Step Functions, Redshift) and Azure (Blob Storage, Synapse Analytics, Data Factory, Azure Functions) for robust, cost-optimized deployments. I’m also adept with vector databases and LLM Agentic AI frameworks, enabling next-generation AI capabilities.Currently at House of Shipping, I lead the design and implementation of Agentic AI Platforms—building innovative products that combine advanced AI techniques with enterprise-grade engineering. My role blends data science, cloud-native development, security, governance, and performance optimization, ensuring solutions are production-ready and strategically aligned with business goals.Whether it’s reducing data processing times, improving system scalability, implementing governance standards, or delivering AI-ready infrastructure, I take full ownership—from requirements gathering to production deployment and continuous improvement. My technical toolkit includes Python, Java, SQL/NoSQL, Docker, Kubernetes, Apache Airflow, Terraform, CloudFormation, and CI/CD best practices.I thrive where cutting-edge AI meets large-scale data systems and real-world business needs - transforming complex challenges into elegant, high-performance solutions that deliver measurable value.