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Assessing your cultural and operational fit
keda-aks-queue-autoscaler
May 20, 2026 – Present
Demonstration of event-driven autoscaling in Azure Kubernetes Service (AKS) using KEDA and Azure Queue Storage, with Kubernetes deployments and ScaledObject configurations.
View ProjectgRPC
November 9, 2025 – November 9, 2025
A .NET-based gRPC client-server application demonstrating CRUD operations using Protocol Buffers. The server hosts the gRPC service, while the client is a console app that communicates with it. Showcases high-performance, type-safe communication between microservices.
View ProjectRedis.OM
January 3, 2025 – January 3, 2025
Implemented Redis.OM in order to store the cache as JSON
View ProjectPersonalPasswordManagerAPI
September 7, 2024 – January 3, 2025
PersonalPasswordManagerAPI — GitHub repository
View ProjectPasswordManagerUI
September 7, 2024 – September 9, 2024
PasswordManagerUI — GitHub repository
View Projectmulti-Label-Classification
June 23, 2024 – June 23, 2024
Need to classify multiple objects in single image using deep learning model
View ProjectRetrieve-large-data-from-table-which-is-stored-in-blob
April 12, 2024 – April 12, 2024
Retrieve-large-data-from-table-which-is-stored-in-blob — GitHub repository
View ProjectUrlShortener-using-sql
September 3, 2023 – September 3, 2023
UrlShortener-using-sql — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards C++ and general software development (e.g., URL shortener, gRPC, Redis.OM, password managers, design patterns). While there is one relevant data science project ('multi-Label-Classification'), the overall project diversity leans heavily towards software engineering rather than data science. This suggests a potential misalignment with a dedicated Data Scientist role, indicating a need to further develop and showcase data science-specific projects and skills to improve cultural fit for this target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores were provided, and no work experience or education details are available.