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Saba

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Python developer/ML Engineer with 3 years of hands-on experience building scalable backend systems and machine learning pipelines. I've worked on tools for rendering automation, user sentiment analysis, and predictive modelling, using frameworks like TensorFlow and Keras. I enjoy solving real-world problems with data, whether it's optimising APIs or training vision models for vehicle damage detection.

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Backend Python Developer/ML-Engineer
Chatbots
Backend Development
Database Management
Machine learning
Recommendation Systems
Predictive Modelling
Automotive
Saba's cases
Automotive
Russia
Vehicle Damage Detection System
Mobile app
Python
Docker
B2C
Visual Damage Detection System for Smart Parking

  • Trained a computer vision model to detect vehicle scratches and damage from images.

  • Built a containerised service using Docker for model deployment.

  • Enhanced image preprocessing pipeline to boost model accuracy and generalisation.

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Python DeveloperSmart Parker
Chatbots
Rendering
Global
Growth
Rendering SaaS Platform
Python
Internal product
Client Support & Backend Workflows Automation

  • Built and maintained backend modules for a rendering SaaS using Python.

  • Developed a chatbot to automate communication between technical support and clients.

  • Managed and optimised MariaDB and PostgreSQL databases for internal tools.

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Backend Python Developer/ML-EngineerTurboRender
Machine learning
SaaS
Global
Rendering Job Management Suite
Python
Internal product
Recommendation Systems
Improved Forecasting with Predictive Models

  • Collected and preprocessed data to build a time prediction model that improved the accuracy of rendering job estimates.

  • Designed and implemented a visual predictive model using synthetic data for internal research.

  • Built a sentiment analysis tool to assess user feedback and created a recommendation system based on user behaviour patterns.

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Backend Python Developer/ML-EngineerTurboRender
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Saba's timeline
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Backend Python Developer/ML-EngineerTurboRender
April 2023 - February 2025
  • Designed new features to rendering products
  • Manually updated and created modules for Deadline
  • Collected and processed data for time prediction analysis to improve forecasting accuracy.
  • Developed a sentiment analysis model to assess user attitudes and built a user-based recommendation system based on behavioral patterns.
  • Designed a data generation pipeline for scientific research and implemented a visual predictive model
  • Created ChatBot to connect tech.support with clients
  • Wrote scripts and queries for working with data bases (MariaDB and PostgreSQL)
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Python DeveloperSmart Parker
May 2022 - February 2023
  • Developed and implemented solutions for a parking service using Docker for containerizing models and services.
  • Trained a visual model to recognize scratches and damages on vehicles using computer vision techniques.
  • Optimized the data preparation process, including image augmentation, to improve the model's training quality.
  • Configured Nginx for load balancing and optimized the performance of API services, ensuring stable operation under high loads.
  • Managed and analyzed databases (MariaDB, PostgreSQL), optimizing queries and ensuring efficient handling of large datasets.
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Database SpecialistFreelance
March 2022 - February 2023

Evaluating existing database, writing technical documentation for the back-end development department, creating/optimizing SQL queries, and preparing reports on monthly/quarterly/yearly results.

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