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Backend developer focused on platform engineering, monitoring, optimizing performance using AWS, Docker, Java, Python, Terraform
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NTT Data
Backend Engineer
June 21, 2026 – Present
forecast-lab
February 20, 2026 – Present
Implementations of classical time series forecasting algorithms in pure Python
View Projectterraform-k8s-lab
October 26, 2025 – October 30, 2025
A Terraform-based lab environment for learning and testing Kubernetes locally using Kind.
View Projectgatespy
August 15, 2025 – August 23, 2025
A small project for learning Rust by building a simple port scanner. Focused on exploring Rust syntax, error handling, and basic networking.
View Projectdevtools-kit
August 2, 2025 – Present
Infrastructure toolkit with Docker Compose orchestration. Includes Prometheus, Grafana, PostgreSQL, and Nexus for local development and infrastructure learning.
View Projectparallel-price-scraper
June 3, 2025 – Present
Parallel Price Scraper is a Java 21 API designed to fetch web page prices using two parallel approaches: one with virtual threads for blocking I/O, and another using reactive streams with Spring WebFlux. It's a learning project focused on concurrency, non-blocking architectures, and scalable web scraping.
View Projectproject-insight-api
April 28, 2025 – September 26, 2025
Project Insight API is a FastAPI service that exposes endpoints to interact with Java code analysis. It leverages the Project Insight Crawler to process Java projects, allowing file uploads, structured data retrieval, and easy integration with other tools or services.
View ProjectProjectInsight
April 26, 2025 – May 25, 2025
Project Insight is an initiative focused on creating tools for analyzing and extracting structured information from software projects. The goal is to transform source code into usable data for insights, automation, and integration with intelligent systems. Note: This is a MVP for studies purpose
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal learning and exploration of new technologies, which could be a good cultural fit for an innovative environment. However, the lack of team-based projects or professional experience beyond a future start date makes it difficult to fully assess cultural fit. The projects are diverse in technology but primarily focused on individual learning rather than collaborative problem-solving.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a learning-oriented and experimental approach to development.