
Senior Developer, Team Lead at https://m.cqg.com product Develop trading platform using typescript, angular, material, dotnet.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CQG
Frontend Developer
June 26, 2026 – Present
sen66-stack
January 10, 2026 – Present
Project for collecting air quality data, including CO2 ppm, temperature, relative humidity, VOC index, NOx index, PMs. Collector is based on a Raspberry Pi single-board computer using an SEN66 sensor. The collector runs using .NET 10 in a Docker. The collector reports metrics to an InfluxDB3 database. For data visualization, Grafana is used
View ProjectYamnetRealtime
December 27, 2025 – December 27, 2025
Real-time audio classification using YAMNet model with ML.NET and ONNX.
View Projectiframe-communication
October 8, 2025 – October 8, 2025
iframe-communication — Dev.to repository
View Projectangular-elements-communication
October 8, 2025 – October 8, 2025
angular-elements-communication — Dev.to repository
View Projectkarma-junit2-reporter
March 24, 2025 – March 24, 2025
Alternative to karma-junit-reporter
View Projectstasberkov.github.io
May 20, 2024 – September 21, 2024
stasberkov.github.io — Dev.to repository
View Projectespruino-ts-quickstart
January 4, 2018 – April 2, 2021
Quickstart for Espruino using typescript and Visual Studio Code IDE
View Projectair-quality
December 10, 2017 – January 9, 2018
Sample air quality monitor project that shows how to use Visual Studio Code in bundle with Espruino framework
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards self-learning and exploration across various technical domains, including IoT and machine learning, which could indicate curiosity and initiative. However, the projects are predominantly personal and lack explicit team collaboration or open-source contributions, making it difficult to fully assess cultural fit in a collaborative environment. The diversity of projects (IoT, ML, frontend) suggests a broad interest, but the depth in specific frontend frameworks or design patterns is not clearly articulated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.