Muhammad Suleman

90763 Fürth, Germany

+49 163 5024790

m.suleman.me96@gmail.com

AI Engineer specializing in LLMs, AI Automation (N8N-RAG, Langchain, and more), NLP, computer vision with hands-on expertise in deploying scalable AI applications using cloud platforms (AWS). Experienced in building scalable NLP systems with LLMs and retrieval-augmented generation (RAG). Proven ability to develop real-time intelligent systems, optimize deep learning pipelines, and build end-to-end prototypes for industry-grade deployment. Seeking to contribute to cutting-edge AI product development in a growth-oriented organization.

Experience

AI Product Enrichment Engineer, E-Commerce

Astek Heimtextil Gmbh
April 2025 - Present

- Created detailed system architecture flowchart, accelerating project alignment and reducing feedback cycles.

- Built a FastAPI ingestion layer, integrating product feeds via APIs to batch-import items.

- Designed and implemented data pipelin, utilized text (GPT-4 API) and image (GPT-4 Vision API) data enrichment.

- Collaborated directly with Client (CEO)- resolved issues, and tailored solutions for maximum client satisfaction.

Artificial Intelligence Engineer Intern

Diplotech Solutions
January 2025 - Present

- Developed an chatbot using Google Dialogflow ES, improving client engagement and reducing first-response time by over 90%

- Designed a UI for chatbot using HTML/CSS.

- Deployed via AWS EC2, maintaining 99.9% uptime and ensuring scalable 24/7 customer support.

- Proactively addressed client feedback to optimize deployment and ensure smooth user adoption.

- Built a semantic recommendation app, leveraging LLM-based text embeddings, FAISS vector search, and the RESTful Google Books API for RAG System.

Research Student - Master Thesis

Technische Hochschule Deggendorf-TC Freyung
December 2023 - September 2024

- Title: Dynamic Environment Perception for Autonomous System: Real-Time Approach to Obstacle Detection (Grade 1.3)

- Developed an obstacle detection system for autonomous lawn mower on NVIDIA Jetson Nano.

- Successfully optimized inference speed: reduced latency by 52% (2.25x detection speed)

- Conducted meta-analysis of segmentation and relative depth estimation models.

- Collected and processed datasets for training segmentation models.

- Partnered with cross‑functional technology teams to integrate solutions.

Student Research Assistant- Studentische Hilfskraft

Technische Hochschule Deggendorf
May 2023 - November 2023

- Project HAUSL: Developed real-time obstacle detection algorithms using monocular vision.

- Performed intrinsic and extrinsic camera calibration and real-time visual mapping.

- Evaluated and implemented machine learning techniques, including ORB, SIFT, and YOLOv8 for robust feature detection.

- Development and augmentation of test datasets encompassing potential obstacle features for robust visual detection.

- Discovered and implement new techologies that yield competitive advantage for Client

Research Assistant- Product Designer

Digital Pakistan Lab (DPL)
December 2020 - April 2022

- Designed, developed, and documented industrial prototypes (Product Design & Development)

- Conducted structural simulations and 3D prototyping to optimize designs for embedded applications.

- Developed calculation for stress analysis for UGV- designed and developed for NESCOM

Education

Technische Hochschule Deggendorf

M.Eng. Artificial Intelligence for Smart Sensors & Actuator
Specialization: Machine Learning, Computer Vision, LLM, Software Development, Data Engineering

Grade: 1.7


Advanced studies in artificial intelligence focusing on smart sensors and actuators, with comprehensive training in machine learning algorithms, computer vision techniques, software development methodologies, data engineering principles and building applications. The program emphasizes practical applications and industry-relevant skills for AI System Development.

March 2022 - September 2025

National University of Sciences and Technology (NUST)

Bachelor's in Mechanical Engineering

Specialization: Product Design and Simulation, Structural Analysis, C++ Programming


Comprehensive mechanical engineering program with focus on product design, simulation techniques, structural analysis, and programming fundamentals. The curriculum provided strong foundation in engineering principles and practical applications.

September 2015 - July 2019

Skills

Programming Languages

AI / Machine Learning

Data & Cloud Tools

Libraries & Frameworks

Data Analysis Software

Operating Systems
Technical Skills
  • Data Cleaning & Analysis
  • CI/CD (GitHub Actions)
  • Agile Development
  • Data Pipelining
  • RESTful APIs
  • Prompt Engineering

Projects

AI-Powered Book Recommendation System with RAG and LLM Integration

2025

Developed an LLM-powered book recommendation web app using Gradio, FAISS-based (vector indexing) RAG, and Google Books API for intelligent, prompt-based local and external search.

Tools/Techniques: LLMs, Gradio, FAISS, RAG, Google Books API, RESTful APIs, Prompt Engineering

AI Driven Adjustment of Public Images/Video for GDPR Compliance

2024

Built an object detection and tracking model using MobileNet and YOLOv7, annotated through Roboflow, enabling automated privacy blurring for live webcams, images, and videos.

Tools/Techniques: Roboflow, Mobile-Net, YOLOv7, Python

Personalized Fitness Recommender App

2024

Developed a Kivy-based mobile app using LSTM to capture, analyze, and visualize user movements. Stored and managed user data effectively using a PostgreSQL database.

Tools/Techniques: Kivy, LSTM, PostgreSQL

Flood Prediction of Passau

2024

Applied time series models (ARIMA, MLP) on tabular time series historical water level and precipitation data for flood forecasting. Validated models using RMSE, delivering actionable insights for early-warning systems.

Tools/Techniques: Python, ARIMA, MLP, Pandas, NumPy

Certifications

The Complete Agentic AI Engineering Course

Udemy (2025)

Comprehensive course covering agentic AI engineering principles and practical applications.

AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

Udemy (2025)

Hands-on training in building LLM applications and AI agents using n8n workflow automation and APIs.

LLM Engineering: Master AI, Large Language Models & Agents

Udemy (2025)

Advanced course on LLM engineering, covering model architecture, fine-tuning, and agent development.

Python for Computer Vision with OpenCV and Deep Learning

Udemy (2024)

Comprehensive training in computer vision using Python, OpenCV, and deep learning techniques.

Python Bootcamp 2021 - Build 15 working Applications & Games

Udemy (2021)

Intensive Python programming course with hands-on project development.

Introduction to JavaScript - Test Automation

Online Course (2020)

Fundamentals of JavaScript programming with focus on test automation.

Microsoft Office Specialist 2013: Word, Excel, PowerPoint

Microsoft (2017)

The Microsoft Office Specialist Program provides industry-leading assessments of skills and knowledge through our new project-based testing, giving students and professionals real-world exercises to appraise their understanding of Microsoft Office.

Honours and Awards

  • Finalist - Finding Innovation and Creative Solutions (FICS) Competition

    NUST (2019)

    Recognized for Innovative problem-solving and creative engineering solution.


  • Director Graphics

    Youth Impact (2018)

    Leadership role in managing graphics and visual content for youth initiatives.


  • General Secretary of Media and Graphics

    SAS NUST (2019)

    Executive leadership position managing media and graphics operations for student organization.

Research & Publications

Dynamic Environment Perception for Autonomous System: Real-Time Approach to Obstacle Detection (2024)

Master's thesis research focusing on real-time obstacle detection for Eddge AI application in autonomous systems. The research involved meta-analysis of segmentation and relative depth estimation models, dataset collection and processing, and development of an optimized obstacle detection system for autonomous lawn mowers using NVIDIA Jetson Nano.

Key achievements include successful optimization of inference speed with 52% latency reduction (2.25x detection speed improvement) and implementation of real-time processing capabilities for autonomous systems.

Grade: 1.3 (Excellent)

Institution: Technische Hochschule Deggendorf

Interests

AI Research & Development - Passionate about exploring cutting-edge AI technologies, particularly in LLMs, computer vision, and autonomous systems.

AI Research & Development - Passionate about exploring cutting-edge AI technologies, particularly in LLMs, computer vision, and autonomous systems.

Learning new technologies – loves to spend time on learning new software technologies and improve knowledge on existing technologies.

Technical Writing – Enjoy documenting technical processes and getting insights through blogs and tutorials.

Continuous Learning – Dedicated to staying updated with the latest developments in AI, machine learning, and software engineering.

Problem Solving – Love tackling complex technical challenges and developing innovative solutions.

Cross-cultural Collaboration – Experience working in diverse international teams and environments.

Fun Stuff

Read some fun stuff about me here.