Saurabh Sarkar
Member @ Forbes Technology Council
About
Engineering leader and builder with 15+ years of experience designing and scaling cloud platforms, large scale data systems, and developer productivity tools. I specialize in working at the intersection of infrastructure, data, and applied AI, turning complex and ambiguous problem spaces into practical, scalable solutions. My background spans cloud native services, ML data platforms, observability, and developer tooling, often driving initiatives from early architecture through production scale. In recent years, my focus has been on AI driven systems and agentic workflows for data engineering and analytics. I have led efforts to apply knowledge modeling, retrieval augmented generation, and automation to reduce manual effort in data preparation and ML workflows, helping teams move faster and focus on higher impact work. I enjoy operating in high ownership environments, mentoring engineers, and shaping technical strategy in fast moving teams. I care deeply about building systems that are explainable, reliable, and ready for real world use, not just demos. Outside of day to day work, I enjoy exploring new ideas, supporting early stage builders, and staying hands on with emerging technologies. Tech nerd at heart, always curious about how thoughtful system design and AI can meaningfully improve how teams work. If you are working on hard technical problems or building ambitious systems, happy to connect and exchange ideas.
United States
Issaquah
Computer Software
Redis, Apache Kafka, Rust (Programming Language), Amazon EKS, Kubernetes, RabbitMQ, MongoDB, Knowledge Management, Grafana, Prometheus, Amazon Web Services (AWS), Terraform, Helm, Generative AI, Software Industry, Technical Leadership, Pipeline Engineering, Large Language Models (LLM), Agents, Data Warehousing
Experience

Architect (Staff Software Engineer) / CTO / Co-Founder
Seattle, Washington, United States
Chicory enables AI agent driven automation for data processing and ML workflows, delivering up to 100x productivity on existing enterprise tech stacks. The platform accelerates data pipeline generation, optimization, feature engineering, and operational workflows from months to minutes using LLM based agents. Owned end to end product and infrastructure strategy for a production grade AI agent platform serving enterprise data engineering teams. * Defined technical and product vision for a next generation AI agent platform, converting ambiguous customer needs into a cohesive roadmap across agent development, evaluation, deployment, and governance. * Designed foundational AI infrastructure primitives including safety guardrails, policy enforcement, and auditability, enabling secure and compliant agent adoption in regulated enterprise environments. * Architected scalable cloud native CI/CD pipelines from GitHub Actions to Amazon EKS using AWS native services, establishing reliable delivery and clear ownership from development to production. * Built core platform abstractions for agent orchestration, execution, and lifecycle management using Model Context Protocol (MCP) to standardize interoperability across tools, models, and runtimes. * Integrated continuous evaluation and observability workflows to measure agent accuracy, reliability, and business alignment, making quality a first class product signal. * Delivered a modular, extensible agent platform using Claude Code, LangChain, LangGraph, LangSmith, GraphRAG, and vector databases, balancing rapid iteration with long term infrastructure sustainability. * Served as primary technical partner for customers, leading onboarding from proof of concept to production, shaping roadmap priorities, and converting pilots into long term revenue. * Led and mentored a distributed engineering team by setting standards, driving architecture reviews, and aligning execution with product and customer outcomes.

Technical Staff / Founder
OneMoment.live
Website: onemoment.live IG: https://www.instagram.com/one.moment.live

Research Engineer
Seattle, Washington, United States
Platform: www.trycarbonara.com Carbonara is on a mission to minimize the carbon footprint of software by observing energy consumption at a granular level and recommending changes across code and infrastructure to minimize the carbon footprint. • Developed energy consumption monitoring tools for software to minimize carbon footprint. • Collaborated with AI, blockchain, and FinOps companies to implement green code practices. • Streamlined emissions data tracking for real-time carbon footprint measurement. • Partnered with cloud providers to enhance sustainability of enterprise IT infra. Ref: www.solanaclimate.com

Senior Software Engineer, Machine Learning Platform
Seattle, Washington
Machine Learning Platform: https://developer.apple.com/machine-learning/ • Part of the architecture, design, development, and operations of large-scale systems designed for machine learning. • Includes data management systems, data engineering workflow systems, distributed compute systems, and their web portal & web service components. • Partner with data scientists and ML engineers across different Apple organizations to define high impact product features and deliver them with quality. • The team is building the platform upon which other teams will develop data pipelines and machine learning applications. Be able to stay on top of state-of-the-art technologies and apply them in the job. • During the process, support junior engineers by providing advice, coaching and educational opportunities.

Software Engineer II
Greater Seattle Area
Azure and Web • Azure Dev Spaces for AKS. Enabled a connected developer experience for the developers to work on Kubernetes in Azure. Provided an infrastructure-less iterative development environment in the cloud using tools like VS Code, Visual Studio or/and command line Feb ’17 o Delivered key components of the public preview of Azure Dev Spaces targeted towards customers with services in production in various locations o Prototyped the initial tooling full-stack. Own the complete command line experience o Designed the SDK framework exposing APIs for other clients like Visual Studio to absorb o Designed and developed the architecture for supporting shared clusters for our services on Kubernetes o Conducted analysis of telemetry data using Kusto queries on Cosmos DB o Connected to customers for issues and feedback for the private release o Mentored junior engineers in the team for onboarding o Contributed to open-source azure-cli code

Software Engineer
Greater Seattle Area
Azure Developer Experience • Working on tools like : o Docker Tools for Visual Studio 2017 o VS Code Extensions for Docker o generator-docker in npm • Connecting to customer for specific issues and feedback • Supporting existing features • Adding new features • Migrating to latest versions of Visual Studio and .Net Core SDK Dev - Cloud Platform Tools • Office/SharePoint Developer Tools in Visual Studio • Connecting to customer for specific issues • Supporting existing features • Adding new features • Enabling support for Office Tools • Contributing to team performance • Contributing to documentation

Software Engineering Intern
Aspera, an IBM company
Emeryville, CA
• Assisted the software development team in developing and testing client and server components for Aspera's high performance file transfer suite, including internal libraries, tools and user interface components. • Studied and enhanced features in the data transfer tool, to isolate data I/O and network I/O functionalities • Worked on an in-house performance analysis tool to automate data transfer and monitor the system to analyze the performance of the ASCP data transfer tool to detect and report bottleneck; and to assist the team improve efficiency

Systems Engineer (Developer - R&D)
Pune
Worked as a Research & Software Developer, in the Verification & Validation team at the Software R&D Lab of Tata Research Development and Design Centre, in a static analysis tool framework. Worked in a domain of embedded systems, programming languages, code analysis and compilers. In this research environment, I tend to get an opportunity to interact with people from diverse backgrounds. • Developed defect analyser and implemented the code slicer module using data flow analysis library • Involved in the design and development of standard analyzer and working on compiler front end, for embedded systems • Analyzed and optimized the static program analysis tool and modified framework to support integration • Co-authored a technical write-up in TCS conference, “One Click Compliance”, TACTiCS – TCS Technical Architects’ Conference 2012, about enabling automobile industry to achieve ISO 26262 standard
Education

Computer Engineering
Graduated in Computer Science & Engineering, UPTU India. Cracked interviews in some of the companies like: Dream Ajax Solutions, Indian Army, Infosys Technologies Ltd., Tata Consultancy Services, HCL, Headstrong India Pvt. Ltd, QRS Infosys
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