
Shafqat Mehmood
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Shafqat Mehmood
- 2 Jahre und 1 Monat, Sep. 2024 - Sep. 2026
Software Engineer (Java Backend)
Codecare Software GmbH
• Backend Architecture: Designed & built scalable Java/Spring Boot microservices & REST APIs for logistics solutions. • Database & DevOps: Managed zero-downtime Oracle DB migrations via Flyway; automated deployments using Ansible. • Quality & Testing: Engineered automated E2E testing suites using JUnit across Dev, Staging & Production environments. • Operations & Support: Led production incident root-cause analysis via log monitoring; authored hotfixes via Git.
- 7 Monate, Aug. 2023 - Feb. 2024
Full-stack Developer
SAVIAN UG
• Full-Stack Engineering: Developed a secure, federated B2B data-sharing platform for the BMBF project "DASH". • Frontend: Built responsive UIs using Vue.js 3, Vite, & Tailwind CSS; managed global state via Pinia. • Backend & Security: Engineered REST APIs in Golang (Gin), integrated Auth0 authentication, & optimized MySQL queries. • DevOps & Cloud: Built Bitbucket CI/CD pipelines to Azure VMs with Nginx Proxy Manager; standardized environments using Docker & Compose.
- 1 Jahr und 10 Monate, Okt. 2021 - Juli 2023
Scientific Assistant
Technische Universität Darmstadt
• Project Leadership: Lead Engineer for "DigInform" (circular economy data) & architected frontend/backend dashboards for "TRUSTDBLE" (blockchain data platform). • Node.js & Data Pipelines: Built a Node.js Blockchain-Monitor using Web3.js to process live Ethereum streams, mapping data to MySQL via Prisma ORM. • Testing & Docs: Engineered automated integration test suites with Jest & Supertest; created OpenAPI/Swagger docs. • Leadership: Aligned cross-functional academic teams & mentored junior CS students.
- 1 Jahr und 3 Monate, Nov. 2019 - Jan. 2021
R&D Engineering Intern (Master Thesis / Working Student)
DENSO AUTOMOTIVE Deutschland GmbH
• Stream Processing: Architected & benchmarked real-time telematic ETL pipelines using Java, Apache Flink, & Kafka for massive vehicular data streams. • Big Data & Cloud: Built an end-to-end Python/Apache Spark framework on AWS (EMR, S3, EC2) to model driving behavior & vehicle telemetry (VSP). • Edge Computing: Deployed a multi-node edge cluster (Jetson Nano, Raspberry Pi 4) for low-latency streaming evaluation. • Master Thesis: Evaluated microservices vs. monolithic scalability under heavy traffic.
- 7 Monate, Nov. 2016 - Mai 2017
Backend Web Developer
Ainosoft Technologies
• Application Development: Engineered backend application logic using Core-PHP, establishing dynamic asynchronous web functionalities via jQuery, JavaScript, and AJAX. • Database Management: Designed relational database schemas in MySQL, writing optimized SQL queries to manage dynamic assets.
Ausbildung von Shafqat Mehmood
- 3 Jahre und 10 Monate, Okt. 2017 - Juli 2021
Masters of Automotive Software Engineering
Technische Universität Chemnitz, Deutschland
Design of Software for Embedded Systems, Software Platforms for Automotive Systems, Hardware/Software Co-design, Practical Automotive Software Engineering, Multicore Programming, Dependable systems, Image understanding
- 4 Jahre, Sep. 2012 - Aug. 2016
Computer Science
The University of Lahore, Pakistan
Object-Oriented Programming, Data Structures, Discrete structures, Compiler Construction, Introduction to Database, Design and Analysis of Algorithms, Theory of Automata and Formal Languages, Computer Architecture, Artificial Intelligence
Sprachen
Deutsch
B1-B2 (Gute Kenntnisse)
Englisch
C1 (Fließend)
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