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Jumabek A. AI, Deep Learning and Natural Language Processing

My name is Jumabek A. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: Artificial Neural Network, Classification, R, PyTorch, Natural Language Processing, etc.. I hold a degree in , Master of Computer Applications (MCA), Doctor of Philosophy (PhD). Some of the notable projects I've worked on include: High Quality Lip Sync AI Avatar - Real Time, Sports analysis, Theft-Shoplifting, Attendance checking, Surveillance System, etc.. I am based in Incheon, South Korea. I've successfully completed 10 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Deep Learning and Natural Language Processing

    7 years

  • Artificial Neural Network

    5 Years

  • Classification

    6 Years

  • R

    3 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Visionin.inha.ac.kr

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Experience Highlights

High Quality Lip Sync AI Avatar - Real Time

A real-time AI avatar that speaks, lip-syncs, and shows facial expressions using Whisper STT, LLM, and TTS. It delivers lifelike interactions through a WebSocket-based system with easy web integration

Sports analysis | Action recognition | Pose estimation

AI-powered Human Action Recognition system - designed to analyze the player movements and tricks in a basketball trampoline zone. Using YOLOv8n-pose for pose estimation the system detects whether huma

Theft-Shoplifting | Action recognition | Object tracking

Develop a real-time AI system for theft detection, object tracking, anomaly detection, and action recognition in retail environments. The solution will use models like YOLO, Deep SORT, and 3D CNNs to

Attendance checking | Face recognition

- Detects human faces from different angles - Matches detected faces with databases - Tracks faces to check-in and check-out - Assigns attendance

Surveillance System | Action recognition | Object tracking

The Smart Office project focuses on Attendance checking, Tracking employees actions, Detect extra actions, Reward hardworking employees.

Education

  • Tashkent University of Information Technology

    in Software Engineer

    2010-01-01-2014-01-01

  • Inha University

    Master of Computer Applications (MCA) in Artificial Intelligence, Deep Learning, Computer Vision

    2014-01-01-2016-01-01

  • Inha University

    Doctor of Philosophy (PhD) in Machine Learning

    2018-01-01-2025-01-01

Languages

  • Arabic (Basic)
  • English (Fluent)✓
  • Korean (Native or Bilingual)
  • Russian (Fluent)
  • Turkish (Conversational)
  • Uzbek (Native or Bilingual)