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Oleksandr K. Backend, Cloud and AI Platforms

My name is Oleksandr K. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Django, Flask, Amazon Web Services, RESTful API, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: GHL & Closebot Integration, CNN-ImageClassifier, Tradovate Webhook & API, LLAMA 2 CHATBOT, Rasa Chatbot for Ecommerce Website. I am based in Tetiiv, Ukraine. I've successfully completed 5 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • Backend, Cloud and AI Platforms

    2 years

  • Python

    1 Year

  • Django

    1 Year

  • Flask

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

EPAM Systems

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Experience Highlights

GHL & Closebot Integration

One chatbot I built for a regional HVAC company started the convo via Facebook Click-to-Messenger, qualified the lead in under 90 seconds, pushed them into a GHL workflow tagged by service type and ur

CNN-ImageClassifier

Machine Learning for Image Classification

Tradovate Webhook & API

Tradovate Webhook & API app receives alerts from TradingView and places orders on Tradovate using Tradovate REST API.

LLAMA 2 CHATBOT

This project involved the integration of advanced AI technologies, including the LLAMA2 model, PEFT fine-tuning technique, and the deployment of LangChain for a seamless user experience.

Rasa Chatbot for Ecommerce Website

Designed 22 conversation scenarios based on the writing of 2211 examples of user intents as NLU training data and 768 chatbot responses in English on the Rasa framework, the chatbot can answer questio

Education

  • Kyiv Nation Economy University

    Bachelor of Computer Science (BCompSc) in

    2022-01-01-2024-01-01

Languages

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