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Oleksandr K. Cloud, AI and Data Platforms

My name is Oleksandr K. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Stable Diffusion, Cloud Architecture, PyTorch, TensorFlow, etc.. I hold a degree in Master of Computer Applications (MCA), . Some of the notable projects I've worked on include: Generative AI Backend for architectrender.com, Generative AI backend for Architecture redesign app, Generative AI Backend for logodiffusion.com, Stable Diffusion SAAS. I am based in Vinnitsya, Ukraine. I've successfully completed 4 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Cloud, AI and Data Platforms

    10 years

  • JavaScript

    6 Years

  • Stable Diffusion

    6 Years

  • Cloud Architecture

    8 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Agile Engine

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Experience Highlights

Generative AI Backend for architectrender.com

The task was to develop a Generative AI ControlNet img2img controlnet pipeline API for a mobile app. - Completed tasks: Developed an SD ControlNet image-to-image pipeline. - Created endpoints to

Generative AI backend for Architecture redesign app

The task was to develop a Generative AI ControlNet img2img pipeline API for a mobile app. Completed tasks: Developed an SDXL ControlNet image-to-image pipeline. Created endpoints to wrap the asynch

Generative AI Backend for logodiffusion.com

The project I've implemented requires development and deployment of an inference pipeline with generative AI processors to the backend. I developed training pipelines for training LoRa, fine-tuning

Stable Diffusion SAAS

Ive recently completed development of aisixteen Stack: NodeJS, React, Python, Mysql, it Models: SD1.5, Finetuned openjourney with NSFW filter Workers dockerized in CUDA 11.8 docker images It runs o

Education

  • Ukrainian Vinnitsa national technical university

    Master of Computer Applications (MCA) in Computer science

    2006-01-01-2011-12-01

  • Physical Mathematical Gymnasium N 17, Vinnitsa ,Ukraine;

    in Math and Physics

    1996-01-01-2006-12-01

Languages

  • English (Fluent)✓
  • Ukrainian (Native or Bilingual)