Hitesh Sahu
Senior Consultant Developer @Thoughtworks
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WORK HISTORY
Senior Consultant Developer @Thoughtworks
Munich, DE
Developed scalable & distributed highly available Microservices (Java, SpringBoot, Quarkus, Node, gRPC, Rest AWS DynamoDB, RDS) to capture real-time data from source streams(Kafka, AWS SQS) and expose the data as Rest/GraphQL/SNS Endpoint- Lead DevOps initiatives to streamline CI/CD pipeline automation (Java, React, Node.js, GitLab/Github Actions, AWS + Terraform, Docker, Sonar gate, Integration Tests) to automate deployment processes of Terraform and Kubernetes- Architected and implemented micro-frontends using Angular and React for Airline Booking and Betting Market platforms, improving user experience and performance- Integrate predictive AI models into backend systems, providing actionable insights (e.g, EV charging times, battery status) to improve data-driven decision-making.
EDUCATION
Jawahar Navodaya Vidyalaya - JNV
Schooling with CBSE Board, Physics, Science & Maths
freeCodeCamp
Full Stack Web Development
University Institute of Technology, B.U. (Bhopal University)
Bachelor of Engineering (B.E.), Computer Software Engineering
ABOUT HITESH SAHU
I’m a Senior Engineer with 12+ years of experience building and scaling production systems across backend, frontend, and cloud environments. Over time, my focus has naturally shifted from feature delivery to platform reliability, infrastructure design, and performance optimization.I work at the intersection of software engineering and infrastructure. My experience spans Java, Kotlin, Spring Boot, AWS, CI/CD pipelines, and cloud-native architectures, along with frontend technologies like React, Angular, and Next.js. I’ve also worked across Android and distributed systems environments, which shaped my understanding of system design end to end.Recently, I’ve deepened my expertise in AI infrastructure and GPU-accelerated systems, including high-performance networking (InfiniBand, RDMA), distributed training environments, storage architecture for AI workloads, and cluster-level monitoring and operations. I’m particularly interested in how compute, networking, storage, and orchestration come together to eliminate bottlenecks and keep large-scale systems efficient.What drives me is building systems that are not only functional but scalable, observable, and resilient.Currently interested in AI infrastructure, platform engineering, and distributed systems roles where I can combine strong engineering fundamentals with modern GPU-enabled and cloud-native architectures.
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