Muhammad Suleman
Artificial Intelligence Engineer Intern @Diplotech Solutions
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WORK HISTORY
Artificial Intelligence Engineer Intern @Diplotech Solutions
Berlin, DE
Developed an chatBot- Google Dialogflow ES, improving client engagement and reducing first-response time by over 90% • Developed UI and deployed in AWS EC2, maintaining 99.9% uptime and ensuring scalable 24/7 customer support.• Built a semantic recommendation application, leveraging LLM-based text embeddings, FAISS vector search, and the RESTful Google Books API for retrieval-augmented generation (RAG), reducing average search latency by ~15%• Communicated AI-based Technology strategies.
EDUCATION
National University of Sciences and Technology (NUST)
Bachelor's degree, Mechanical Engineering
Deggendorf Institute of Technology
Masters of Engineering in Artificial Intelligence for Smart Sensor & Actuator, Artificial Intelligence
ABOUT MUHAMMAD SULEMAN
I’m an AI Engineer based in Germany, focused on building automated production-ready LLM and data-driven systems that solve real business problems end to end—from data ingestion to deployment.I work across three applied tracks:LLM systems and RAG: Designing conversational solutions and knowledge retrieval workflows (e.g, RAG with vector search) to enable accurate, scalable internal and customer-facing AI experiences.AI product intelligence and automation: Building Python-based ingestion and enrichment pipelines (including e-commerce/product data workflows), developing REST/FastAPI services, and integrating automation to streamline data operations and user experiences.Computer Vision and model fine-tuning: During my Master’s work, I built and optimized computer vision pipelines and fine-tuned models for practical CV tasks—combining training, evaluation, and deployment considerations. My thesis work also involved performance-focused experimentation on embedded hardware, balancing accuracy with real-time constraints.Strengths: Python, SQL, REST APIs, FastAPI, data pipelines/ETL, LLM prompting, RAG & vector search, computer vision (training/fine-tuning, evaluation, optimization), and cloud fundamentals (AWS/GCP).Languages: English (fluent), German (B1/B2 and improving actively).I’m open to roles in AI Engineering, Applied LLM/RAG, Computer Vision, and AI Automation—especially where I can own delivery, collaborate with stakeholders, and ship systems that create measurable value. If you’re building AI products, internal copilots, CV solutions, or data-to-LLM workflows, I’d be glad to connect.
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