Hi, I'm

Sadman Kabir Soumik

A data scientist and AI specialist skilled in in architecting and developing scalable machine learning systems, including LLMs, Generative AI, and recommender systems. With 6 years of experience in machine learning, software engineering, and cloud computing, I’m passionate about creating innovative, high-impact AI systems.

About Me

As a Senior Data Scientist, I thrive on turning complex data problems into innovative AI solutions that make a real impact. My journey into Artificial Intelligence (AI) and Machine Learning (ML) started back in my undergrad days when I first dived into AI/ML courses. It didn't take long for me to become hooked by the endless possibilities of machine learning and its power to revolutionize industries. Before diving into AI/ML, however, I spent time exploring back-end engineering and mobile app development.

Fast-forward to today, I've had the privilege of working with some incredible organizations around the world. Currently, I'm crafting intelligent solutions at Optimizely Inc., where I focus on building cutting-edge systems involving RAGs, recommender systems, and Large Language Models. Previously, I worked at Venturas Ltd., where I focused on NLP solutions and cloud automation as an AI Engineer. My professional journey started at Chowa Giken Corporation, a Japanese AI R&D company, where I joined just after graduating from university and worked remotely from Bangladesh as a Machine Learning Engineer, contributing to various computer vision and NLP projects.

As a product-oriented person, my engineering philosophy centers on creating practical AI solutions that drive tangible business value and user impact. I consider myself as a full-stack AI engineer with a strong foundation in both machine learning and software engineering, particularly backend development. This dual expertise always helps me to build and deploy production-ready ML systems effectively. A typical day of mine involves spending about 70% of the time writing and reviewing code, with the remaining 30% dedicated to collaborating with stakeholders on system architecture, planning new features, and driving continuous improvements.

In addition to my expertise in artificial intelligence, I have developed deep proficiency in cloud computing over the past five years, with a strong focus on Google Cloud Platform, as most of my professional works have heavily relied on GCP. I've also gained significant experience with AWS, particularly through personal projects and experimentation.

I hold a Bachelor's degree in Computer Science and Engineering from North South University, Dhaka, Bangladesh (2015-2019).

In my spare time, I enjoy exploring and building tech beyond the scope of AI/ML. I love working on a variety of technical challenges that spark my curiosity, whether it's developing a mobile application with React Native, creating animations with Manim, or experimenting with a new tool I've discovered on GitHub. I also write technical blogs, where I share my experiences and insights with the tech community.

Here are a few technologies I've been working with recently:

  • Python, SQL
  • PyTorch, Tensorflow
  • XGBoost
  • Scikit-learn
  • LangChain
  • HF Transformers
  • Pandas, Polars
  • FastAPI, Django
  • GCP, AWS
  • Git, Docker
  • Redis, PostgreSQL
  • Linux, Bash
  • Kubernetes, Kubeflow
  • Terraform

A few other tools I’m not very skilled at but enjoy experimenting with occasionally:

  • TypeScript
  • Dart, Flutter
  • React, NextJS
  • Java, C/C++
  • GitHub Actions
  • MLflow
  • Apache Airflow
  • Apache Spark
  • Tableau
Headshot

Professional Journey

Senior Data Scientist @ Optimizely Inc.

Jan 2023 - Present

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.


Things I've been doing here:

  • 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.
  • 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.

Blog Posts

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Open Sourced

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What’s Next?

Get In Touch

I'm always excited to connect with fellow innovators and discuss new ideas! Whether you want to talk about potential collaborations, exciting startup opportunities, or just geek out about the latest tech, I'd love to hear from you. Let's build something amazing together!