Stuttgart, Germany · open to new roles
Asheer Ali
AI Engineer @ Bosch — Multi-Agent Systems · RAG · MLOps
I build AI systems that make it from prototype to production: LLM applications, RAG pipelines, multi-agent systems and the MLOps around them — from ETL and vector search to CI/CD, private-cloud deployment, evaluation and guardrails.
At a glance
5+years in data & AI
15%client sales lift from LSTM forecasting
20%+faster calculations at Infineon
1stWHU Hackathon 2025
Experience
Jul 2026 – nowStuttgart, DE
AI Engineer (Internship) · Robert Bosch GmbH
- Engineered the OTTO RAG pipeline for automated processing of large, real-time document datasets.
- Built a custom data-engineering pipeline to parse, transform and load unstructured documents into vector embeddings.
- Designed a real-time pipeline for managing extensive document data inside the RAG system.
- Architecting the migration to the Bosch Private Cloud — evaluating cost-optimal options and budgeting for scalable, concurrent multi-user access.
Jan 2023 – Jun 2024Regensburg, DE
AI Software Engineer (Working Student) · Infineon Technologies
- Developed and maintained a full-stack web application, improving calculation speed by more than 20%.
- Designed ETL pipelines feeding a centralized data lake with high data integrity.
- Deployed Docker containers on OpenShift and built CI/CD pipelines for reliable releases.
- Fine-tuned and evaluated LLMs to improve an internal chatbot's relevance and accuracy.
- Master's thesis: synthetic defect-image generation with conditional GANs and diffusion models for computer-vision training.
May 2019 – Nov 2021Sydney, AU (remote)
Data Scientist · Dxign Lab
- Built and deployed LSTM sales-forecasting models on AWS EC2, boosting client sales by 15%.
- Designed scalable data pipelines for reliable model operation in production.
- Delivered 20+ Power BI dashboards for AI-driven sales analysis.
- Worked in Agile sprints with engineers via Jira, documenting experiments and results.
Featured project
🏆 Winner · WHU Hackathon 2025
SlipStream — Streamlined Strategy Assessment
A multi-agent system that automates business-strategy evaluation from raw business documents.
- Autonomous LangGraph agents for data extraction, critique and forecasting.
- Interactive React dashboard with tailored insights and real-time AI consultation.
Skills
AI & Machine Learning
Cloud & DevOps
Languages & Frameworks
Data
Education
MSc Web Engineering
Technische Universität Chemnitz2026 – now
Technische Universität Chemnitz2026 – now
MSc Data Science
Friedrich-Alexander-Universität Erlangen-Nürnberg2021 – 2025
Friedrich-Alexander-Universität Erlangen-Nürnberg2021 – 2025
BE Telecommunication
NED University, Karachi2015 – 2019
NED University, Karachi2015 – 2019
Languages: English (C1) · Deutsch (B1, progressing)
Let's build something that ships.
Open to AI Engineering roles in Germany — on-site, hybrid or remote. The fastest way to reach me is email or LinkedIn.