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Andrey P. - Fullstack Developer, RESTful Architecture, AWS Application

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    9 years

  • RabbitMQ

    2 Years

  • MySQL Programming

    1 Year

  • Symfony

    5 Years

Additional skills

  • RabbitMQ
  • MySQL Programming
  • Symfony
  • PHP
  • Microservice
  • Docker
  • Azure DevOps
  • Kubernetes
  • Golang
  • RESTful Architecture
  • AWS Application

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Experience Highlights

NodeJS/React Fullstack Developer for Online Memoria Quiz game

Development of scalable and reliable game data processing driven by Firebase Realtime Database, Managed Google Cloud SQL and Cloud Functions with Node JS, backend dashboard development with React/Typescript driven by Firebase Hosting/Auth.

Telegram Bot ChatGPT integration

Wrote a Telegram bot for a chat with ChatGPT. Here are some bot features: - keeping conversation context (aka remembering previous messages) - password authenticated users with the managed roles and access rights - service commands directly from the chat, e.g. resetting current conversation, adjusting the system role, changing current model etc - extendable software architecture to support multiple chat bots (e.g. Mattermost, Discord etc.) as well as the chat backends (e.g. Bard) - managed secrets with Transcrypt

Monitoring tool for ML Models

For one of the largest German automotive company I have created a practical case study for deploying monitoring tools in Kubernetes for machine learning models. The aim of the project was to research ways of representing performance of a ML model with standard monitoring tools like InfluxDB/Grafana or Prometheus/Grafana. I've created 2 cases: transferring of inputs to the model and performance metrics to monitoring tools with Kafka or exposing Prometheus API directly from the model. For the first case I've created following Kubernetes setup: - Model Deployment with Seldon with REST API - Model Detector in Seldon with REST API - Kafka with the stream of outputs from the Model Detector - Telegraf to convert outputs to the metrics format and write them to InfluxDB - InfluxDB as metrics storage - Grafana Dashboard with InfluxDB as the data source For the second case following setup was created: - Combined Model and Detector Deployment with Seldon API and custom Prometheus endpoint for metrics - Prometheus service - Scraping configuration with corresponding Network Policies - Grafana with the Prometheus as the data source The case study proved possibility to deliver machine learning metrics to standard monitoring tools in Kubernetes environment.

Desktop Application For Policy management

For one of the largest German automotive company I was requested to develop a cross platform Desktop application for internal usage. It's main goal was to manage auth policies for cars, devices and users for third party service providers, manufacturers and other departments. I developed the application in Golang as a Chrome based web application with internal Go server and Bootstrap 5 driven interface. The main functionality included: - loading external policy validation rules as yaml files - client/server-side validation with error highlighting for the corresponding fields or field groups - multi-step expandable forms - server side rendering with Go-templates, Bootstrap 5 and vanilla JS - file manager to upload/download files - auth with PKI cards (certstore and smimesign library) - go-git integration and communication with the gitlab server to push and pull policy updates - signing commits with PKI - update system and protected delivery of binary artefacts to the customers from Azure pipelines

Energy Price Calculation Tool

The goal of the project was to develop energy price calculation tool for a big energy provider company where all price components where delivered as a huge (over 2GB) pile of CSV files with tariffs data for all possible areas/subnets/consumption ranges/client types. The task was: - analyse and parse price components data - apply efficient search algorithms (binary search by multiple criteria) to for lookups - define GRPC photos to represent price models and price components - design API to receive calculation requests and response with calculation results - implement Go code with the calculation logic - build application code as docker images - deploy price generation tool in Azure Kubernetes - unittest all calculation steps - effort coordination with the frontend developers

Languages

  • German
  • English

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