Hey, I’m Sadman Kabir Soumik.

Most models die in notebooks; mine ship to production.

I architect and develop large scale AI systems: multi-agent systems, RAG pipelines, and recommender systems that serve millions of people every day. Seven years of shipping, scaling, and keeping models live in production.

01 · About

By day, I work as a Senior Data Scientist, building production AI systems that go far beyond training models. Machine learning is only one piece of the puzzle. I spend my time designing and shipping the engineering that surrounds it, including agent harnesses, multi agent workflows, memory systems, recommender systems, evaluation pipelines, and the infrastructure that makes AI reliable in production. Whether it’s improving model quality, reducing inference costs, or making deployments more dependable, I enjoy solving the engineering challenges that turn research into products people can actually use.

Beyond my 9-5 work, I love to build my own products because I enjoy the process. I like taking an idea from a blank page to a finished product, making the product decisions, designing the architecture, writing the code, deploying it, and continuously improving it based on real user feedback. My projects span both mobile and web, giving me the opportunity to own every stage of the product lifecycle instead of focusing on just one part of it.

I’m driven by curiosity and a constant desire to learn. Whether it’s AI, software engineering, mobile development, cloud infrastructure, or product design, I enjoy expanding my skill set and applying it to real products. I believe the best engineers understand more than just code. They understand users, products, and the engineering decisions that turn ambitious ideas into software people genuinely enjoy using.

Currently

Senior Data Scientist at Optimizely Inc.

Previously

AI Engineer at Venturas Ltd.

ML Engineer at Chowa Giken Corporation, Japan.

Education

B.S. Computer Science and Engineering

North South University, Dhaka · 2015 to 2019

Based in

Dhaka, Bangladesh · open to relocation

Stack

Programming Languages

PythonTypeScriptSQLSwiftC/C++

Generative AI & Agents

LangGraphAutoGenLangChainOpenAI SDKHugging FaceRAGEmbeddingsHarness EngineeringFine-tuningMCP

Machine Learning

PyTorchKerasscikit-learnXGBoostPandasPolarsApache Spark

GCP

Vertex AIGKECompute EngineCloud RunBigQueryCloud StorageSpannerFirestorePub/Sub

AWS

SageMakerBedrockLambdaEC2S3DynamoDB

MLOps & DevOps

DockerKubernetesTerraformAirflowMLflowDatadogGit

Databases & Backend

PostgreSQLRedisElasticsearchPineconeFastAPIDjango

Frontend

Next.jsReactHTMLCSSTailwind

iOS Development

SwiftSwiftUIUIKitXcodeSwiftDataTestFlight

Miscellaneous

Claude CodeCursorCodexShell ScriptingUnix/Linux

02 · Experience

7 Years of Industry Experience in AI Engineering

Jan 2023 to Present

Senior Data Scientist at Optimizely Inc.

New York, USA · Remote · Full time

Optimizely is a U.S.-based multinational company that offers a digital experience platform as a Software-as-a-Service (SaaS) solution. The company provides A/B testing and multivariate testing tools, website personalization, feature toggling capabilities, web content management, and digital commerce solutions.

  • Working on multi-purpose agentic AI systems, including architecting and developing LLM memory components that preserve user and chat context over extended periods.
  • Architecting and implementing large-scale recommendation systems serving millions of daily user interactions.
  • Developing sophisticated A/B testing frameworks for ML model evaluation and deployment.
  • Building real-time model training pipelines for continuous learning from user interactions.
  • Developing and maintaining end-to-end machine learning pipelines that train thousands of models daily.
  • Creating conversational AI solutions for automated customer segmentation and analysis.
  • Designing unified API services for multiple LLM providers to streamline enterprise-wide AI adoption.
  • Implementing RAG-based systems to enhance AI applications with domain-specific knowledge.
  • Doing cross-functional collaboration between data science and engineering teams for ML infrastructure development.

Jun 2021 to Dec 2023

Senior Artificial Intelligence Engineer at Venturas Ltd.

Dhaka, Bangladesh · Full time

Venturas Ltd. is a Japanese startup offering human resource solutions to Japanese companies from Bangladesh. I joined the company as an AI Engineer in June 2021 and was promoted to Senior AI Engineer in January 2023. During my time there, I also took on the role of Tech Lead for a period.

  • Created the overall structure and design of AI/ML systems, ensuring alignment with business goals, scalability, and performance requirements.
  • Evaluated and chose appropriate technologies and frameworks that best fit the system's requirements.
  • Provided technical leadership and guidance to development teams, facilitating knowledge sharing and best practices in AI/ML development.
  • Ensured seamless integration of AI/ML components with existing systems and infrastructure, including cloud platforms like GCP/AWS.
  • Conducted regular code reviews to ensure that the code meets the quality standards, follows the architectural guidelines, and adheres to best practices.

Sep 2019 to Jun 2021

Machine Learning Engineer at Chowa Giken Corporation

Tokyo, Japan · Remote · Full time

Chowa Giken Corporation is a Japanese artificial intelligence based R&D company that offers AI-based solutions for various industries headquartered in Hokkaido, Japan. I started my career here as a Machine Learning Engineer in 2019, immediately after completing my bachelor’s degree.

  • Preprocessed data, including cleaning, normalization, and transformation for various machine learning tasks.
  • Developed, fine-tuned, and optimized custom machine learning models for both NLP and computer vision applications.
  • Analyzed and interpreted ML model outcomes to derive insights and assess performance.
  • Deployed machine learning models into production using tools and platforms like Flask/Django and GCP.
  • Conducted experiments with new techniques, updated models based on performance, and drove continuous improvement and innovation in machine learning systems.

03 · DIY

Things I build and run outside of work.

04 · Writing

Notes from shipping AI systems in production.

I write about machine learning systems, infrastructure, and the parts of the job that don’t make it into papers. Full archive at soumik.blog ↗

05 · Contact

Have an idea worth shipping? Let’s talk.

I’m always up for a real conversation: AI systems, startups, business collaborations, or building things that solve actual problems. If it’s ambitious, I’m interested. Drop a line, and I’ll get back to you soon.