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sftSalman/README.md

💼 Salman Farshi (サルマン・ファルシ)

  • **🚀 AI/ML Engineer | Systems Engineer | Researcher |
  • DXエンジニア|システムエンジニア|Web技術 (フロントエンド・バックエンド)|自動化・データサイエンスのスペシャリスト

📝 About Me

Nice to meet you! I'm Salman Farshi, originally from Bangladesh. I’m an engineer with practical experience in デジタルトランスフォーメーション(DX), 業務プロセスの自動化, Web技術, and data science & AI.

From system development to AI implementation, I’ve been involved in a wide range of solutions to improve operational efficiency and digitalize manual processes. I strive to bring value to organizations by combining technical skills × logical thinking × integrity.

🔍 Passionate about solving real-world problems using Artificial Intelligence and Deep Learning.
💡 I specialize in Computer Vision, Generative AI, NLP, and building intelligent multi-agent systems.
🎯 Focused on contributing to cutting-edge AI research, LLM-powered applications, and open-source projects.


🎓 Education

  • North South University, Bangladesh
  • Major: Computer Science and Engineering

🧑‍💼 Work Experience

🏢FC Soft

AI/ML Engineer

  • System Automation
  • AI Agent

🏢 om المستقبل المبتكر (Sultanate of Oman / Remote)

AI/ML Engineer |

  • LLM-powered business automation

🏢 SysLabo Inc. (Tokyo / Remote)

AI/ML Engineer

  • 社内DXソリューション向けのWebシステム開発および統合に従事

  • 自動化ワークフローおよびデータ分析パイプラインの構築に貢献

🧪 Research Assistant

North South University, Dhaka, Bangladesh

  • Designed and trained deep learning models for computer vision and generative AI research.
  • Developed automation tools and handled data preprocessing to support research experiments.

🧠 Recent Skills,Specializations & Certifications

  1. LangGraph Agents Certification
    Certification for hands-on experience with LangGraph Agents, focusing on building intelligent AI agents capable of complex decision-making and collaboration.

  2. CrewAI for Multi-Agent Systems Certification
    Demonstrates proficiency in designing and deploying multi-agent systems using CrewAI, enabling scalable and cooperative AI agent networks.

  3. Advanced Use Cases Certification
    Covers advanced applications of AI agents in real-world scenarios, emphasizing practical problem-solving with multi-agent architectures.

  4. LangChain for LLM Apps Certification
    Validates skills in developing applications using LangChain to leverage Large Language Models (LLMs) for natural language understanding and generation.

  5. Functions, Tools, and Agents with LangChain Certification
    Focuses on the integration of functions, external tools, and AI agents within LangChain to create dynamic and interactive LLM-powered applications.

  • Generative Models & Prompt Engineering – Skilled in designing prompts, optimizing system messages, and leveraging LLMs for creative and functional use cases

  • Task Automation with AI Tools – Built agents for routing, scheduling, email triage, and real-time task coordination

  • Custom Chatbots & Document Intelligence – Created intelligent interfaces for documents, Q&A systems, and assistant-like agents


🎓 Professional Learning & Specializations

Completed advanced AI/ML coursework through top online programs and applied learnings in real-world projects.

  • Deep Learning SpecializationDeepLearning.AI
    Covered neural networks, CNNs, RNNs, and optimization techniques for building deep learning models.

  • Machine Learning SpecializationStanford University via Coursera
    Studied supervised and unsupervised learning, SVMs, clustering, and applied machine learning techniques.

  • Generative Adversarial Networks (GANs) SpecializationDeepLearning.AI
    Hands-on experience with DCGANs, Conditional GANs, CycleGANs, and techniques to stabilize training.

  • TensorFlow: Advanced Techniques SpecializationDeepLearning.AI
    Focused on transfer learning, fine-tuning, TensorFlow Functional API, and advanced model training.

  • MLOps Specialization (Machine Learning Engineering for Production)DeepLearning.AI
    Gained skills in deploying, scaling, monitoring, and maintaining ML models in production environments.

💡All courses were completed with hands-on practice and applied to project work.*


🚀 Featured AI/ML Projects

Here are some of my top AI & ML projects:

🚀 Featured Projects

🛑 Note: The following projects are private due to proprietary or client-sensitive data. Demos available upon request.

🤖 Retrieval-Augmented Generation (RAG) Chatbot

Status: Completed | Tech: LangChain, LLMs, Vector Databases

  • Developed a domain-specific chatbot using Retrieval-Augmented Generation (RAG) techniques.
  • Integrated LangChain for memory optimization, improving response relevance by 50%.
  • Focused on vector embedding, document retrieval, and conversational context handling.
  • GitHub: Private | Demo: Available upon request

🧠 Autonomous AI Agent for Business Process Automation

Status: Completed | Tech: LangChain Agents, Multi-Agent Systems, AWS Lambda, FAISS

  • Built a multi-agent system for automating invoice generation, inventory management, and customer support workflows.
  • Leveraged LangChain Agents to enable task delegation and execution.
  • Reduced manual workload by 75%, boosting operational efficiency by 40%.
  • GitHub: Private | Demo: Available upon request

🔹 Arable Land Detection

  • 🛰️ Deep Learning | YOLO | Computer Vision
  • Detects arable land using satellite images to support agriculture.

🔹 NeuroArt - AI Art Generation

  • 🎨 Deep Learning | CNN | Neural Style Transfer
  • Generates artistic images using neural networks.

🔹 Risky Building Detection

  • 🏢 YOLO | Image Segmentation | Computer Vision
  • Identifies structurally weak buildings in urban areas.

🔹 FlowerGen - WGAN

  • 🌺 GANs | PyTorch | Deep Learning
  • AI-generated realistic flower images using WGAN.

🔹 Deploying Custom Object Detection

  • 🔍 YOLOv5 | Flask | REST API
  • Deployed an object detection model with API integration.

🏗️ Other Projects

🔬 TensorFlow & PyTorch Projects:

🖼️ Computer Vision Projects:

📌 Python Data Structures & Algorithms:


🛠️ Tech Stack

AI/ML Frameworks:
TensorFlow
PyTorch
scikit-learn

Programming Languages:
Python
Swift

Tools & Platforms:
Google Cloud
Git




🗣️ Language Skills

Language Proficiency Usage in Work
日本語 日常会話レベル(JLPT N4) 読み書き、メール対応、基本的な会話が可能
English Business Level Meetings, documentation, communication
Arabic Basic All-purpose

📫 Connect with Me

LinkedIn
GitHub

Pinned Loading

  1. Arable_land_and_nonarable_land_dectection_from_sataleite_images- Arable_land_and_nonarable_land_dectection_from_sataleite_images- Public

    Welcome to the Arable and Non-Arable Land Detection using YOLO on Satellite Images GitHub repository! This project aims to address the issue of underutilized arable lands in Bangladesh by leveragin…

    Jupyter Notebook

  2. ERP-Enterprise-Resource-Planning-Web-System ERP-Enterprise-Resource-Planning-Web-System Public

    Enhanced ERP System with Advanced Data Visualization and Comprehensive Insights

    PHP