Delberin Ali — Resume / CV

Technical Arsenal

Skills & Expertise

Languages

Python92%

C# / .NET82%

Java65%

JavaScript / Node.js60%

Backend & APIs

ASP.NET Core / WebForms85%

FastAPI / Flask78%

REST APIs & Webhooks88%

Data & Databases

PostgreSQL / SQL-Server90%

ETL / ELT Pipelines87%

Pandas / NumPy90%

PyTorch75%

OpenCV / MediaPipe70%

Scikit-learn / MLflow72%

DevOps & Frontend

GitHub Actions / CI/CD88%

Docker / Linux78%

React / Vite75%

Tech Stack Cloud

PythonC#Java Node.jsASP.NET CoreFastAPI FlaskREST APIsWebhooks PostgreSQLSQL-ServerMongoDB BigQueryETL / ELTPandas NumPyMatplotlibPyTorch OpenCVMediaPipeScikit-learn MLflowGitHub ActionsDocker LinuxCI/CDConda ReactBlazorNetlify Stripe APISupabaseFirebase YAMLIIS / MSDeployClaude API

Career

Work Experience

Softwareentwickler & Data Engineer

03.2022 — Present

Institut für Data Science (i4Ds), FHNW · Windisch, CH

Developing and operating ETL/ELT data pipelines for scientific measurement data. Data modelling and performance optimisation of databases (PostgreSQL, SQL-Server). Design and operation of 25+ GitHub Actions CI/CD workflows including caching, artifacts, dependency orchestration and reproducible pipeline runs. Collaborating with 3+ interdisciplinary research teams.

PythonPostgreSQL GitHub ActionsETL/ELT CI/CDSQL-Server

🔭 Karabo Pipeline — SKAO Radio Telescope

Python · Conda · GitHub Actions · Scientific Computing

Step-by-step migration of the scientific Conda environment from Python 3.9 to 3.12 (via 3.10 and 3.11): dependency conflicts in 23 specialised packages systematically resolved. Built and maintained the Karabo Feedstock with 23 custom Conda packages for the international SKAO project.

☀️ E-Callisto Solar Radio Validation & STIX Correlation

Python · Pandas · NumPy · Matplotlib · Linux

Automated data quality assessment and anomaly detection in solar radio data from the global E-Callisto network (~180 stations). Developed 4 functional analysis modules. Built a STIX–eCallisto correlation pipeline: automated matching of STIX X-ray events (Solar Orbiter) with e-Callisto spectrograms (±10 min around flare peak).

🎓 ProStud — Academic Management Platform

ASP.NET WebForms · C# · SQL-Server · IIS

Production ASP.NET/C# platform for managing P5 and P6 student projects at FHNW BSc Informatik — used by 560+ students. Features, bug fixes and CI/CD deployment on IIS via GitHub Actions (MSDeploy).

Junior Softwareentwickler (Intern)

08.2020 — 02.2022

Institut für Data Science (i4Ds), FHNW · Windisch, CH

Database migration of Heliotime.org (production GOES X-ray visualisation platform) from Redis to TimescaleDB. Analysis and processing of 14 real solar flare events (2013–2018) using Python (NumPy, Astropy, Matplotlib) including AIA FITS file processing and coordinate calculations (NASA SDO). First contributions to the e-Callisto project: data preparation, validation and debugging of solar radio frequency data.

PythonTimescaleDB AstropyNumPy MatplotlibNASA SDO

PC Training Instructor

2018 — 2020

Stadt Bern · Bern, CH

Taught computer literacy courses, supported participants with practical exercises, and communicated complex technical topics in an accessible and structured way.

TeachingCommunicationDigital Literacy

Software-Entwickler (Freelance)

01.2024 — Present

Selbständig · Schweiz

Full-stack web development for Swiss KMU clients. Building production-ready booking platforms, AI-powered tools and business websites using modern web technologies and cloud infrastructure.

ReactNode.js StripeNetlify SupabaseClaude API