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NP: Bishonnotar Gaan (Bay of Bengal) (0:33/3:48)
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NP: Bishonnotar Gaan (Bay of Bengal) (0:33/3:48)
24 followers · 10 following

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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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@SELISEdigitalplatforms @bytebeatbox

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rjarman/README.md

Hi! I'm Rafsun Jany Arman

As a Senior Full Stack Software Engineer, I architect scalable, user-centric solutions that bridge the gap between complex data and intuitive human interaction. I specialize in Generative AI ecosystems, RAG-driven intelligence, and high-concurrency systems.

⚡️ Key Contributions

  • Enterprise Generative AI Ecosystem: Architected a full-stack, on-premise AI platform (Web, Mobile, Backend) featuring RAG-driven document intelligence, real-time voice-to-voice chat, and multi-agent systems for web-search and image generation.

  • Collaborative AI & Knowledge Management: Engineered a secure group-conversation engine with AI assistant integration, dynamic link-sharing, and a robust document processing pipeline using vectorization to enable context-aware LLM responses.

  • Sports Engagement Platform: Led the development of an all-in-one mobile app for the Ski World Cup, integrating ticketing, live streaming, and real-time athlete telemetry to enhance fan engagement for international audiences.

  • Maritime & Industrial IoT Solutions: Developed high-performance data visualization dashboards and real-time monitoring systems for global marine services and Swiss water management, driving operational efficiency through predictive alerts.

  • Smart Metering & IoT Integration: Designed end-to-end solutions for hardware companies to automate IoT device communication, data collection, and utility consumption analysis.

⚡️ Core Competencies

  • AI & LLM Orchestration: RAG (Retrieval-Augmented Generation), Vector Databases (Qdrant), Multi-Agent systems, STT/TTS, and Image Gen models.

  • System Architecture: Designing scalable, three-tier architectures (Web, Mobile, Backend) and secure on-premise deployments.

  • Real-Time Communication: Low-latency voice chat, Web Search integration (Perplexica/Searxng), and real-time data synchronization.

  • Backend Development: Building robust, high-concurrency systems using Java, Python, and Spring Boot.

  • Frontend Development: Creating dynamic, user-friendly interfaces with React.

  • IoT & Data Visualization: End-to-end IoT pipelines, real-time notifications, and actionable data dashboards.

  • Project Leadership: Driving cross-functional collaboration and CI/CD excellence to deliver high-impact software.

With a focus on technical excellence and strategic problem-solving, I build software that delivers measurable value. Let’s connect to explore how we can innovate together!

📱Contacts📱


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  1. adaptive-marketing-ai adaptive-marketing-ai Public

    An intelligent marketing AI engine that connects to multiple platforms to generate targeted campaign strategies and provide natural language insights across customer touchpoints.

    Python

  2. CrewsBoard/canvas CrewsBoard/canvas Public

    Canvas is a modern platform for creating, managing, and orchestrating AI agents. It provides a framework-agnostic node architecture that supports both AI and traditional components, with a focus on…

    Python 4 1

  3. Bus-Mama Bus-Mama Public

    The Bus-Mama is a bus tracking mobile application for the transportation of the students of BSMRSTU. It helps the students of our university by showing the available route, bus, and their exact loc…

    TypeScript 14 1

  4. Fire-Free Fire-Free Public

    This is a mobile application for helping the firefighters to rescue the victims on time.

    TypeScript 10

  5. bangla bangla Public

    It's a dependency project of Bus-Mama. It basically an implementation of a lemmatization algorithm using the Trie data structure. It also contains Data Providers of the Bengali language.

    Python 6

  6. parkinson-disease-classification parkinson-disease-classification Public

    This is an implementation of early identification of Parkinson's disease from hand-drawn images with inception_v3 and densenet121 as feature descriptors and various classification algorithms to sep…

    Jupyter Notebook