Portrait of Md. Saif Khan Shahrin, Technical Lead

Md. Saif Khan Shahrin

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Technical Lead and software engineer focused on research-driven problem solving, enterprise-grade system design, semantic technologies, and full-stack solutions.

Moments

Experience

Samsung R&D Institute Bangladesh Ltd.

  1. Technical Lead

    – Present

  2. Lead Software Engineer

    –

  3. Senior Software Engineer

    –

  4. Software Engineer

    –

Engineering Expertise

  • Software Architecture Solution Architecture, System Design, Distributed Systems, Cloud-Native Architecture
  • Web Engineering Enterprise Application Development, Scalable Platforms, System Integration
  • AI Engineering Intelligent Applications, Retrieval and Grounding Systems, Agentic Systems

Technical Skills

  • Knowledge & Semantic Technologies Knowledge Representation & Reasoning, Semantic Web, Ontology Engineering, Data Engineering, Data Modeling, RDF, RDFS, OWL (OWL 2)
  • AI Technologies Large Language Models, Prompt Engineering
  • Query & Programming Languages SPARQL, Datalog, Structured Query Language (SQL), MongoDB Query Language (MQL), TypeScript (and JavaScript), Java, Kotlin, Python, C/C++, YANG
  • Databases & Storage RDFox, PostgreSQL, MySQL, MongoDB, Schema Design, Query Optimization
  • Data Processing and Streaming CSV, Parquet, ETL, Data Mapping, Preprocessing, Streaming Data, Apache Kafka, Kafka Streams
  • Web and Backend Frameworks Next.js, React, Vue.js, React Flow, React Query (TanStack Query), Material UI (MUI), Tailwind CSS, Zustand, tRPC, Zod, Spring Framework (Boot, Cloud, Security), Micronaut, NestJS, FastAPI
  • Tooling and Testing Storybook, Playwright, Jest, Swagger, Postman
  • DevOps and Version Control Docker, Git

Research & Publications

Automatic License Plate Recognition System for Bangla License Plates using CNN
View Paper →
IEEE TENCON 2019 • Conference Paper

This work presents a CNN-based system specifically designed to detect and recognize Bangla license plates under challenging real-world conditions. It enhances prior CNN-only methods by incorporating fuzzy logic, enabling adaptive performance across varying lighting, blur, orientation, and plate positioning scenarios.

Awards & Recognition

  • Star Engineer

    Dec 2024

    Samsung

  • Excellence

    Oct-Dec 2024

    Samsung

  • Icon

    Jul-Aug 2022

    Samsung

  • Icon

    May-Jun 2024

    Samsung

  • Document of Invention

    Jan-Jun 2022

    Samsung

  • Outstanding Collaborator

    2021

    Samsung

  • Excellence - Innovation

    Apr-Jun 2020

    Samsung