Data Scientist @ Endress+Hauser

Muhammad Saad

Building Intelligent Systems at Enterprise Scale

Agentic AI • LLMs • RAG • Context Engineering • Enterprise AI • AI Safety

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Who I Am

About Me

Muhammad Saad

Data Scientist & AI Solutions Architect

I'm a Data Scientist at Endress+Hauser, where I architect and deploy enterprise-grade AI solutions — from agentic AI systems that automate purchase order workflows with 90% efficiency gains, to pioneering one of the earliest production RAG deployments in industry.

With a Master's in AI & Data Science and experience spanning PwC, Noviter, and PTCL, I bring deep expertise in LLMs, context engineering, agentic workflows, and AI safety. I'm also a Coursera instructor, active conference speaker, and hackathon champion.

8+
Speaking Sessions
1x
Hackathon Winner
8+
Years in Tech
1
Coursera Instructor
Career Journey

Work Experience

Mar 2023 — Present

Data Scientist

Endress+Hauser, Germany
  • Architected and deployed an end-to-end agentic AI system for purchase order automation — document extraction, verification, XML creation, SAP push — improving efficiency by 90% and cutting delivery cost to <25%
  • Pioneered one of the earliest enterprise RAG deployments in industry (late 2023), presented at Machine Learning Week Europe 2024
  • Designed autoencoder-based fraud detection for SAP transactions, enabling anomaly detection for suspicious patterns
  • Built AI-driven sustainability reporting using RAG, LangChain, SQL agents, and browser agents
  • Served as trusted internal expert for Snowflake AI & Azure AI, advising teams on enterprise AI use cases
  • Championed AI upskilling via internal trainings on context engineering, prompt engineering, coding agents, and AI-native development
Sep 2022 — Feb 2023

Data Scientist — Intern

PwC Deutschland, Germany
  • Designed predictive analytics and statistical forecasting solutions to improve product demand and business planning accuracy
  • Developed Explainable AI (XAI) tools and frameworks in R and Python, improving model transparency
  • Optimized ML pipelines using PySpark and parallelization techniques to increase processing performance
  • Delivered forecasting solutions on Palantir Foundry for enterprise analytics
Sep 2021 — Aug 2022

Data Scientist — WorkStudent

Noviter GmbH, Germany
  • Built a competitive intelligence dashboard by mining, cleaning, and integrating data from multiple sources
  • Applied probabilistic and Bayesian modeling to forecast product trends and support strategic decisions
  • Delivered predictive analytics translating complex data into clear, business-relevant recommendations
Jan 2017 — Apr 2021

Manager Special Projects

PTCL, Pakistan
  • Identified patterns and trends in business and operational data for optimization and growth
  • Developed ML-based market analyses to evaluate opportunities and target high-potential clients
  • Leveraged data science for marketing analytics, turning raw data into actionable insights
2021 — 2023

M.Sc. Artificial Intelligence & Data Science

Technische Hochschule Deggendorf, Germany & USB, Czech Republic
  • Specialization: LLMs & GPT, Parallel Programming, Computational Intelligence, Information Theory, Distributed Algorithms, Advanced ML
2012 — 2016

B.E. Engineering

NEDUET, Karachi, Pakistan
  • Specialization: Programming, Algorithms & Data Structures, Numerical Methods, OOP, Digital Signal Processing, Data Communication & Networks
Tech Stack

Skills & Expertise

LLMs RAG Agentic AI Workflow Design Context Engineering Prompt Engineering LLM Evals & Benchmarking LLM Application Development LLM Tokenomics Finetuning SLMs LMOps Multimodal AI MCP LangChain LangFuse Enterprise Chatbot Design Document Intelligence (OCR) LLMs RAG Agentic AI Workflow Design Context Engineering Prompt Engineering LLM Evals & Benchmarking LLM Application Development LLM Tokenomics Finetuning SLMs LMOps Multimodal AI MCP LangChain LangFuse Enterprise Chatbot Design Document Intelligence (OCR)
Applied ML Statistical Modeling XAI Deep Learning Forecasting A/B Testing Experiment Design AI Safety Model Behavior Understanding Human in the Loop Systems AI Research Synthesis Production AI Deployment Applied ML Statistical Modeling XAI Deep Learning Forecasting A/B Testing Experiment Design AI Safety Model Behavior Understanding Human in the Loop Systems AI Research Synthesis Production AI Deployment
Python PyTorch TensorFlow SQL PySpark Spark SQL FastAPI Streamlit Pandas NumPy Python PyTorch TensorFlow SQL PySpark Spark SQL FastAPI Streamlit Pandas NumPy
Microsoft Azure Azure OpenAI Azure Synapse Palantir SAP Integration Distributed Data Processing API Integration Systems Integration Solution Architecture Microsoft Azure Azure OpenAI Azure Synapse Palantir SAP Integration Distributed Data Processing API Integration Systems Integration Solution Architecture
Claude Code & Cowork GitHub Copilot Codex AI Pair Programming Rapid Prototyping System Design Claude Code & Cowork GitHub Copilot Codex AI Pair Programming Rapid Prototyping System Design
AI Product Strategy Technical Storytelling Technical Discovery / Scoping Requirements Translation Enterprise AI Delivery Cross Functional Leadership MS Copilot & Agent Builder AI Product Strategy Technical Storytelling Technical Discovery / Scoping Requirements Translation Enterprise AI Delivery Cross Functional Leadership MS Copilot & Agent Builder
GenAI & LLMs
Machine Learning
Languages
Cloud & Enterprise
AI-Augmented Dev
Strategy
On Stage

Conference Speaking

Summit • 2026

European Chatbot & Conversational AI Summit

“HITL 2.0: Designing Cooperative Workflows with Agentic AI” — practical use cases and design patterns for agentic workflows with human-in-the-loop control.

Europe
Summit • 2025

European Chatbot & Conversational AI Summit

“Beyond the Buzz: Practical Applications of LLM Agents” — showcasing tangible use cases, prompt engineering, domain adaptation, and real-world challenges.

Europe
Conference • 2024

Machine Learning Week Europe

“Optimizing LLMs for E+H” — insights on deploying LLMs at enterprise scale and building a successful production RAG on internal knowledge bases.

Europe
Conference • 2024

Basel DataScience Conference

“LLMs for Dashboarding” — demonstrated how conversational AI translates user queries into SQL, revolutionizing data exploration and dashboard automation.

Basel, Switzerland
Conference • 2024

Medium Day '24

“The Future of AI: Democratizing AI Across Disciplines” — emerging trends, tools, and resources for making AI accessible and fostering interdisciplinary collaboration.

International
Internal • 2024

Endress+Hauser AI Day '24

“LLMs: From Inception to Future Directions” — the evolution of LLMs, highlighting significant breakthroughs and predictions for future advancements.

Endress+Hauser
Conference

THD Future Skill Conference

Spoke about harnessing Generative AI for transformative innovation across industries.

TH Deggendorf
Internal • 2023

Endress+Hauser AI Day '23

Anomaly detection via autoencoders and time series demand forecasting for industrial applications.

Endress+Hauser
Milestones

Awards & Achievements

BaselHack 2024 Winner

Winner of BaselHack 2024, building a scalable RAG with web browser and memory agents for MDPI.

2024

Coursera Instructor

Instructor for Data Science and Machine Learning Guided Projects Lab on Coursera.

View Profile

Invited Speaker

Invited speaker at prestigious international conferences including ML Week Europe, Basel DataScience, European Chatbot Summit, and more.

8+ Talks

IEEE Publication

Published research in IEEE on AI and machine learning applications.

Research
Credentials

Professional Certifications

Google Certified Generative AI Leader

Google
Verify
Azure Data Scientist

Azure Data Scientist

Microsoft
Verify

Azure AI Engineer

Microsoft
Verify
IBM Advanced Data Science

IBM Advanced Data Science

IBM
Verify

IBM Data Science Professional

IBM
Verify
IBM Applied AI Professional

IBM Applied AI

IBM
Verify
TensorFlow Developer

TensorFlow Developer

Google / DeepLearning.AI
Verify

MLOps Specialization

DeepLearning.AI
In Progress
 ML Engineer with Azure

ML Engineer with Azure

Microsoft / Udacity
Verify

Maths for Machine Learning

Imperial College London
Verify

Scrum Fundamentals

SCRUMstudy
Verify

Python Programming Track

DataCamp
Verify
Portfolio

Selected Projects

HITL Agentic AI Article Generator

Human-in-the-loop, multi-agent AI framework processing 300–1,000+ page user manuals to generate high-quality how-to guides and knowledge articles, with human oversight of final content.

Multi-Agent HITL LLMs RAG

AI Feedback Analyzer for Surveys

Multi-agent feedback analysis workflow for survey responses — automated reading, summarization, sentiment analysis, theme identification, and structured insight-rich reports.

Multi-Agent NLP Sentiment Analytics

Multi-Agent Social Media Generator

Multi-agent content generation system — agents gather trends from news/social platforms, build plans, and generate tailored posts and visuals for different channels with human approval.

Multi-Agent Content Gen HITL
XAI and Palantir Foundry

Explainable AI & Palantir Foundry

Developed XAI module for PwC to explain how drivers impact ML decisions, improving customer trust. Deployed AI/ML solutions via Palantir Foundry for time series and forecasting.

XAI Palantir Forecasting PwC
Movie Recommendation Webapp

Movie Recommendation Webapp

MySQL-based recommendation engine built with Streamlit on the MovieLens 25M dataset, including analytical reporting.

Python MySQL Streamlit
View on GitHub
Feature Selection via Boruta

Feature Selection via Boruta

Implementation of the Boruta algorithm for robust feature selection using entropy and information gain on high-dimensional datasets.

Python Scikit-learn Statistics
View on GitHub
Communication

Language Skills

C1
English — Advanced
B2
Deutsch — Upper Intermediate
Connect

Let's Talk

Interested in collaboration, speaking engagements, or just want to chat about AI? Feel free to reach out.

© 2025 Muhammad Saad. Built with purpose.