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Vazgen A. AI, Cloud and General Development

My name is Vazgen A. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Python, OpenCV, PyTorch, TensorFlow, FastAPI, etc.. I hold a degree in Bachelor of Applied Science (BASc), Master's degree. Some of the notable projects I've worked on include: Football Analysis Project, 2D Skeleton Tracking and Wall Mapping for Speed Climbing Videos, Object-Detection-Plant-Diseases. I am based in Yerevan, Armenia. I've successfully completed 3 projects while developing at Softaims.

I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.

At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.

My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.

Main technologies

  • AI, Cloud and General Development

    0 years

  • Python

    1 Year

  • OpenCV

    1 Year

  • PyTorch

    1 Year

Additional skills

  • Python
  • OpenCV
  • PyTorch
  • TensorFlow
  • FastAPI
  • NumPy
  • YOLO
  • Stable Diffusion
  • DALL-E
  • Amazon Rekognition Video
  • ElevenLabs
  • Whisper AI
  • AI Text-to-Image
  • LangChain
  • AI Agent Development

Direct hire

Potentially possible

Previous Company

VisionTech GmbH

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Experience Highlights

Football Analysis Project

The goal of this project is to detect and track players, referees, and footballs in a video using YOLO, a leading AI object detection model. I also trained the model to improve its performance. Additi

2D Skeleton Tracking and Wall Mapping for Speed Climbing Videos

This pipeline takes a speed climbing video and finds a series of transformatins, mapping each frame to a reference wall. This way, skeletons obtained through pose estimation can be transformed from fr

Object-Detection-Plant-Diseases

his project explores the potential of deep learning in early detection and diagnosis of plant diseases

Education

  • National Polytechnic University of Armenia

    Bachelor of Applied Science (BASc) in

    2009-01-01-2014-01-01

  • National Polytechnic University of Armenia

    Master's degree in Computer science

    2015-01-01-2017-01-01

Languages

  • English (Fluent)