Shpetim Gashi

Profile

Software developer and data scientist with hands-on industrial R&D experience delivering end-to-end solutions: database-backed web applications (Python backends, React/Next.js frontends) and ML systems (forecasting, reinforcement learning, optimisation). Led a EUR 200,000 AI research project from requirements and reward-function design through validation and rollout. Currently completing an M.Sc. in Data Science and Intelligent Analytics.

Skills

Experience

1. Software Developer, Data Scientist & Project Lead

   Sept 2025 – May 2026

   HELLA InnovationLAB · Lienz, Austria

   Full-time role combining hands-on engineering with end-to-end project delivery in an industrial R&D environment. Led a EUR 200,000 AI research project and shipped production web applications and ML systems.

   • Built and maintained database-backed web applications end to end: Python backends (Flask, FastAPI) with React/Next.js (TypeScript) frontends, REST APIs, authentication flows, and PostgreSQL persistence.
   • Developed forecasting and reinforcement-learning prototypes (Python, PyTorch, TensorFlow) and built reproducible evaluation pipelines with clear result traceability and KPI-based benchmarking.
   • Led an AI research project with an approx. EUR 200,000 budget and a team of two: shaped requirements and roadmap, ran agile delivery (Jira, Confluence, sprint planning, CI/CD), and managed rollout and onboarding.
   • Containerised services with Docker, maintained CI/CD pipelines, and conducted code reviews using Git/GitLab and merge requests to ensure reliability and maintainability.

2. Intern / Dual Study Engineer

   Sept 2022 – Aug 2025

   HELLA InnovationLAB · Lienz, Austria

   Combined a dual study programme at MCI with practical R&D work at HELLA, contributing to forecasting systems, RL pipelines, BI tooling, and internal web tools.

   • Developed LSTM forecasting models and evaluation pipelines (Python, pandas, NumPy, TensorFlow); compared LSTM, RNN, PPO, and Hill Climbing for energy-management suitability as part of bachelor thesis research.
   • Built a reinforcement-learning optimisation pipeline on synthetic building simulation data (Radiance illuminance and daylight-glare criteria) as a proof-of-concept for RL-based shading control.
   • Supported Sales and Product Management with Power BI dashboards, data analysis, and web scraping; contributed to approx. EUR 200,000 in annual savings.

3. Student Representative & Chairperson

   Sept 2022 – Jun 2026

   MCI & University of Applied Sciences Kufstein · Innsbruck / Kufstein, Austria

   Elected student representative at programme and institutional level across two universities, concurrent with studies and work.

   • Chaired governance meetings, defined agendas, and documented strategic decisions at programme and institutional level across MCI and UAS Kufstein.

4. Working Student – SAP Data Migration

   Jan 2022 – Oct 2022

   Vienna Insurance Group AG · Vienna, Austria

   Part-time (50%) role migrating insurance records between SAP systems and supervising a team of working students.

   • Migrated large volumes of insurance records between SAP systems, ensuring data quality and consistency throughout the platform transition.
   • Entrusted with coordinating and supervising 8 working students, allocating tasks due to strong individual performance.

5. Technical Consultant

   Oct 2020 – Sept 2021

   Deutsche Technikberatung · Germany

   Customer-facing technical consultancy delivering structured solutions with high satisfaction ratings.

   • Analysed customer requirements and delivered structured technical solutions in direct customer-facing settings; produced documentation and achieved a 9.6/10 average customer satisfaction rating.

6. Salesperson & Team Assistant

   Mar 2013 – Oct 2020

   IKEA Germany · Germany

   Long-tenure retail role progressing to team assistant, supporting KPI monitoring, operational planning, and a cost-reduction project.

   • Co-managed teams of 9–18 and supported KPI monitoring and operational planning across multiple departments.
   • Led a restructuring project that reduced operational costs by 10% and increased seasonal sales by 25%.

Selected Projects

1. Demand Forecasting Pipeline

   LSTM- and (S)ARIMA-based demand forecasting pipeline for industrial R&D. Rigorous evaluation showed a three-month window at approximately ±5% deviation, informing operational feasibility decisions.

   • Python
   • LSTM
   • TensorFlow
   • SARIMA
   • pandas

2. RL for Comfort-Based Shading Control

   Proof-of-concept reinforcement-learning pipeline (PPO) for solar-shading control. Reward functions built on Radiance illuminance and daylight-glare criteria; validated feasibility on synthetic simulation data.

   • Python
   • Reinforcement Learning
   • PPO
   • Radiance
   • TensorFlow

3. Rod-Length Optimisation & Scenario Planning

   PuLP-based optimisation tool translating manufacturing constraints into deterministic cutting recommendations. Extended with scenario planning and a Streamlit/Flask interface; contributed to an estimated 15% material reduction.

   • Python
   • PuLP
   • Streamlit
   • Flask

4. User Feedback Web Application

   Flask/PostgreSQL web application with user authentication, room and user management, scheduled reminders, and real-time sensor data visualisation via the HELLA ONYX REST API.

   • Python
   • Flask
   • PostgreSQL
   • REST API

5. Vision Planner — Product Configuration Platform

   Repository ↗

   Full-stack product configuration and AR visualisation platform (vision.hella.info): Next.js/React/TypeScript frontend, Python services, CI/CD pipelines, and security audits. All AI-assisted code reviewed before integration.

   • Next.js
   • React
   • TypeScript
   • Python
   • CI/CD

6. Employee Timesheet Automation

   Python tool automating FFG time-tracking and documentation: groups entries by project, slices work logs by period and work package, and prepares outputs for signatures.

   • Python
   • Automation

7. Product & Market Web Scraper

   Python/BeautifulSoup scraper collecting structured product data from target websites. The same techniques were applied to audit a company website, surfacing exposed API keys and directly accessible API calls.

   • Python
   • BeautifulSoup
   • Web Scraping

Education

1. M.Sc. Data Science and Intelligent Analytics

   Sept 2025 – Present

   University of Applied Sciences Kufstein · Kufstein, Austria

2. B.Sc. Smart Building Technologies

   Sept 2022 – Jun 2025

   Management Center Innsbruck · Innsbruck, Austria

3. High School Diploma (Abitur)

   Sept 2004 – Jun 2013

   Friedrich-List-Gymnasium · Germany

4. Certificate — Agile Project Management (Scrum)

   Jan 2024 – Dec 2024

   Management Center Innsbruck · Innsbruck, Austria

5. Certificate — Data Science Summer School

   Jul 2023 – Aug 2023

   Management Center Innsbruck · Innsbruck, Austria