Muhammad Ammar

Data Analytics Researcher @ Siemens | MSc Electromobility-ACES @ FAU | BSc Mechanical Engineer @ NUST

Erlangen, Germany, CEST

LinkedIn
MA

About

Pursuing an MSc in Electromobility-ACES at Friedrich-Alexander-Universität Erlangen-Nürnberg, I am currently working as a working student in Data Analytics Research at Siemens. My current work revolves around utilizing GenAI to measure software ecosystem health via graph analytics. More specifically, I am building applications that allow the user to conduct graph analytics just by providing queries in natural language.

Work Experience

Siemens AG
Erlangen
Hybrid

Oct 2024 - -

Data Analytics Researcher - Working Student

  • Conducted systematic literature review of software ecosystem health analysis. Surveyed 61 research articles and analyzed 416 health metrics to present a unified graph of metrics to measure ecosystem health in a hierarchical way.
  • Developed a LLM powered Text-to-Cypher pipeline that maps prompts to metrics for analyzing software ecosystem health using a health metric KPI tree.
  • Created a metric graph to oversee real-time visualization of underlying database represented by neo4j.
  • Developed an LLM powered Prompt-to-Visualization pipeline to display the most relevant dashboard to the user query, lowering TTI from 2 minutes to 5 seconds.

    • NeuroOceans AI
    Remote

    Jan 2024 - Apr 2024

    Machine Learning Engineer

  • Finetuned multiple audiovisual deepfake detection models and evaluated performance on metrics to identify the best performing one.
  • Worked on the entire pipeline development, from dataset collection, preprocessing, to model training and evaluation.

    • Learners.ai
    Remote

    June 2023 - Dec 2023

    Solution Analyst

  • Utilized LangChain and Pinecone to build an LLM-powered chatbot for generating sales proposals from call transcripts, incorporating insights from past proposals.
  • Developed a copywriter assistant chatbot using LangChain Agents with custom tools and a curated knowledge base.
  • Conducted Data Import Analysis for data transfer across CRMs, using excel, SQL and Python.
  • Created Ad campaign effectiveness dashboards in HubSpot and Databox.

    • Robotics and Intelligent Systems Engineering (RISE) Laboratory

    2021 - 2022

    Undergraduate Researcher

  • Engaged in a senior year research project, providing bi-weekly presentations to a supervisory panel.
  • Developed a control algorithm for a mobile robot using Arduino, ultrasonic sensors, IR sensors, and encoders.
  • Successfully secured funding through IGNITE National Grassroots Research Initiative 2022 and obtained funding for AHFE Conference registration fees under the Pakistan and European Unions Horizon 2020 ENHANCE project.

    • Education

    Friedrich-Alexander-Universität Erlangen-Nürnberg

    2024 - Present
    MSc Electromobility-ACES

    National University of Sciences and Technology

    2018 - 2022
    Bachelor Degree in Mechanical Engineering

    Scuola Superiore Sant'Anna

    2025 - 2025
    AI & Robotics In Extended Reality Seasonal School 2025

    Skills

    Python
    Pytorch
    LLMs
    Prompt Engineering
    Natural Language Processing
    Computer Vision
    Machine Learning
    Data Science
    ROS2

    Projects

    Autonomous Mobile Robot

    A Chain-Driven Live Roller Mechanism for Loading and Unloading Packages on Autonomous Mobile Robots in Warehouses

    Robotics
    Arduino Programming
    Controls
    Design

    Image2Audio app

    Users upload an image, the app generates a caption for the image, creates a short story based on the caption, and then converts the story into audio format.

    OpenAI API
    HuggingFace
    LangChain
    Streamlit
    TTS

    Q&A Chatbot on private data

    Blogpost on Retrieval Augmented Generation (RAG) using ChromaDB, GPT wrapped around LangChain, and private data.

    OpenAI API
    LangChain
    Vector Database
    Blogpost

    Scene Classification

    Finetuned ViT pre-trained on ImageNet for Kaggle Intel Classification Challenge.

    PyTorch
    Computer Vision
    Gradio

    Podcast Summarizer

    Converts podcast audio to text using whisper, uses GPT-3.5 to generate a summary, and uses wikipedia API to display additional information.

    OpenAI API
    Whisper
    Audio2Text
    Streamlit

    Transfer Learning with PyTorch

    Scene classification by fine-tuning pre-trained Vision Transformers (ViT) guide.

    PyTorch
    Vision Transformer
    Blogpost

    Publications

    A Chain-Driven Live Roller Mechanism for Loading and Unloading Packages on Autonomous Mobile Robots in Warehouses.

    Applied Human Factors and Ergonomics (AHFE) Conference, 2022.

    Conference Paper
    Published

    Prompt-to-Metric: LLMs and Graph Algorithms for Platform Ecosystem Health Monitoring.

    Explores combining LLMs with graph analytics to monitor platform ecosystems.

    Research Preprint
    LLMs

    Towards Data-Driven Real-Time Performance Monitoring of Platform Ecosystems.

    APSEC 2025 Software Engineering in Practice track submission.

    Conference Submission
    Platform Ecosystems

    Health and Performance Indicators of Platform Ecosystems: a systematic literature review.

    Systematic literature review outlining health and performance indicators for platform ecosystems.

    Systematic Review
    Accepted

    Evaluating Schema Injection Techniques for LLM-driven Text-to-Cypher Pipelines.

    Studies schema injection patterns for automating Cypher generation from natural language using LLMs.

    LLMs
    Awaiting Decision

    Courses

    Machine Learning Specialization by DeepLearning.AI

    Introduces foundational ML concepts. Covers everything from data analytics using pandas to classification using Neural Nets.

    ML
    numpy
    pandas
    matplotlib

    Natural Language Processing Specialization by DeepLearning.AI

    Deep Dive into NLP. Starts from Classification and Vector spaces, coverts probabilistic models, and eventually moves on to Deep Neural Nets.

    NLP
    LSTMs
    GRUs
    Transformers

    PyTorch for Deep Learning by Zero-to-Mastery

    Complete guide to PyTorch from the fundamentals. Covers everything from the basics to building a Vision Transformer from scratch.

    PyTorch
    Computer Vision

    Generative AI with Large Language Models by DeepLearning.AI

    Covers LLMs for text generation, from pre-training to instruction fine-tuning to RLHF.

    Generative AI
    LLMs

    Robotics: Aerial Robotics by UPenn

    Mechanics of flight and design of quadrotors flying robots. Control and Planning for three dimensional flights.

    Motion Planning
    Robotics
    Quadcopter

    ROS2 For Beginners (ROS Foxy, Humble - 2024)

    Programming fundamentals of Robot Operating System 2 (ROS2) in Python.

    ROS2
    Robotics
    Linux
    Python

    Press ⌘J to open the command menu