Sadman Kabir Soumik Email & Phone Number

Dhaka, Bangladesh

Currently working on reinforcement learning based recommender systems to personalize user experiences and improve engagement.Developing and optimizing large language models (LLMs) for enhanced natural language processing.Designing & developing highly scalable software systems to serve AI/ML models.

Dhaka, Bangladesh

Creating the overall structure and design of AI/ML systems, ensuring alignment with business goals, scalability, and performance requirements.Evaluating and choosing appropriate technologies, frameworks, and tools that best fit the system's requirements. Working closely with product managers, engineers, data scientists, and other stakeholders to understand and translate requirements into architectural design. Ensuring that the system complies with legal regulations, industry standards, and best practices in AI/ML.Providing technical leadership and guidance to development teams, facilitating knowledge sharing and best practices in AI/ML development. Identifying potential risks in system design and implementing strategies to mitigate those risks. Creating and maintaining comprehensive architectural documentation, and effectively communicating architectural decisions to various team members and stakeholders. Ensuring seamless integration of AI/ML components with existing systems and infrastructure, including cloud platforms like GCP/AWS. Conducting regular code reviews to ensure that the code meets the quality standards, follows the architectural guidelines, and adheres to best practices.

Dhaka, Bangladesh

Designing, developing, and implementing comprehensive machine learning systems, including data preprocessing, model training, evaluation, and deployment in a production environment.Constructing MLOps pipelines to streamline the development, experimentation, continuous integration (CI), continuous delivery (CD), validation, and monitoring of AI/ML models, ensuring smooth transitions between stages.Analyzing large datasets to identify trends, anomalies, and meaningful patterns that can inform decision-making and model development. Translating complex data findings into understandable visualizations and narratives to effectively communicate insights to various stakeholders, such as management, product teams, and clients. Encouraging and participating in research and experimentation with new algorithms, tools, and techniques to drive innovation and improve the efficiency of AI/ML systems.Assisting junior team members by providing guidance, conducting code reviews, and sharing expertise to foster a collaborative and continuous learning environment.

Dhaka, Bangladesh

Design, develop, validate, deploy and maintain different statistical, machine learning, and deep learning models for NLP and Computer Vision related systems.Build and deploy MLOps infrastructure on the Google Cloud Platform to ensure continuous data validation, model deployment, periodic model retraining, model versioning, and performance monitoring.Build ETL/ data pipelines that collect, clean, transform and aggregate data into data warehouses and provide an analytical solution.Optimize data pipelines to reduce data extraction and training time, and minimize model prediction serving latency.Design and develop cloud infrastructure on Google Cloud Platform for process automation.

Dhaka, Bangladesh

Handling and preprocessing data, including cleaning, normalization, and transformation for various machine learning tasks.Designing, developing, and training custom machine learning models for both NLP and computer vision applications.Fine-tuning and optimizing state-of-the-art models for optimal results in specific applications and tasks. Analyzing and interpreting ML model outcomes to derive insights, and assess performance. Deploying machine learning models into production environments using tools and platforms like Flask/Django and GCP.Regularly experimenting with new techniques, updating models based on performance, and driving continuous improvement and innovation in machine learning systems.