Sourav Dey

About Sourav Dey

Hello, I’m Sourav Dey — a Full Stack Java Engineer with 5+ years of experience building scalable, cloud-native, and AI-powered systems across AWS and GCP.I specialize in Java, Spring Boot, React, and microservices architecture, designing high-performance backend systems and dynamic front-end applications that operate reliably at scale. My experience includes building REST APIs, event-driven architectures using Kafka, and distributed systems aligned with strong system design principles.Beyond full-stack development, I architect and deploy production-grade cloud and MLOps platforms. On AWS, I’ve worked extensively with Lambda, SageMaker Endpoints, DynamoDB, ElastiCache (Redis/Valkey), S3, Aurora PostgreSQL, and CloudWatch to build scalable inference systems and data-driven applications. On GCP, I design ML and data workflows using Vertex AI Endpoints, Cloud Run, Cloud Scheduler, BigQuery, Bigtable, Cloud Storage, Artifact Registry, and Cloud Monitoring.I build automated ETL pipelines, model deployment workflows, CI/CD systems, and observability strategies that ensure reliability, scalability, and cost efficiency in production environments.In the AI domain, I develop intelligent systems using OpenAI, Claude, Groq, Ollama, and open-source LLMs. I leverage LangChain, Retrieval-Augmented Generation (RAG), prompt engineering, and agentic AI patterns to build scalable, tool-integrated, production-ready AI applications.With a strong foundation in Data Structures, Algorithms, and System Design, I design systems that are clean, maintainable, and aligned with long-term business scalability.I’m passionate about building systems at the intersection of Full Stack Engineering, Cloud Infrastructure, Data Platforms, MLOps, and Artificial Intelligence.If you\'re looking for an engineer who can design, build, and scale intelligent cloud-native systems end-to-end — let’s connect.

Experience

1. Software Engineer Ii

   Session Ai

   May 2024 — Present

   Working as a software engineer 2 in the platform team.1. Developed a Real-Time Offer (RTO) automation system that enables users to efficiently create and modify campaigns. The system segments target customers based on various criteria, providing tailored offers to enhance customer engagement and drive conversions.2. Eliminated 100% of data discrepancies by consolidating multiple sources of truth into a single, reliable data layer using Amazon Athena to query data stored in Amazon S3. Designed and implemented AWS Glue ETL jobs and crawlers to automate data extraction, transformation, and loading into Athena tables, significantly improving data accuracy and accessibility.3. Architected and deployed scalable model-serving systems using AWS SageMaker Endpoints and GCP Vertex AI Endpoints, enabling real-time workloads. Designed automated MLOps pipelines including data preprocessing, feature engineering, model training orchestration, CI/CD integration, model versioning, and blue-green/A-B deployments. Integrated observability using CloudWatch and Cloud Monitoring to ensure performance tracking, drift detection, and production reliability.

Education

• JIS College of Engineering

  Bachelor of Technology - BTech, Computer Science

  2017 — 2021