About

I'm a Data Scientist and AI Engineer driven by a passion to extract actionable insights and build intelligent AI systems. With over 4 years of experience, I specialize in leveraging Machine Learning, Natural Language Processing, and Deep Learning to solve complex real-world problems. Key Expertise:

  • LLM & Multi-Agent Systems: Developed and deployed RAG-based solutions and multi-agent systems using cutting-edge technologies like Langchain, CrewAI, and vLLM, significantly improving efficiency and user satisfaction.
  • Classical Machine Learning & Deployment: Engineered and optimized ML pipelines for various business applications, focusing on model accuracy, scalability, and efficient deployment
    • Phone: +49 17688459397
    • City: Mannheim, Germany
    • Email: sreeharipradeepkumar1996@gmail.com

    Interests

    Software Development

    Machine Learning

    Computer Vision

    Natural Language Processing

    Software Engineering

    Visualization

    Data Engineering

    Deep Learning

    Education

    MSc in Data Science
    September 2021 - July 2024
    • Advance Text Analytics
    • Deep Learning
    • High Level Computer Vision
    • Generative AI
    • Advance Software Engineering
    B.Tech. in Electornics and Communication Engineering
    August 2014 - August 2018
    • C Programming
    • Embedded Systems
    • ApplicationsofMicrocontroller & Microprocessor

    Online Certification

    Machine Learning Nanodegree

    Experience

    Self Employed

    January 2025 - Present

    Fellow

    • Developed an end to end MVP Multi Agent app for Trade & Logistics on multilingual commodity emails and docs.
    • The app utilized multi-agent doc parser and hybrid RAG (graph + vector) pipeline powering a multilingual chatbot.
    • Agentic AI applications for real‑world use case with STT and TTS models
    • Founding AI Team member of Sartech Labs.

    EuroTech federation

    June 2025 - Present

    Fellow

    • Developed an end to end MVP Multi Agent app for Trade & Logistics on multilingual commodity emails and docs.
    • The app utilized multi-agent doc parser and hybrid RAG (graph + vector) pipeline powering a multilingual chatbot.
    • Agentic AI applications for real‑world use case with STT and TTS models
    • Conducted learning sessions on LLMs, Multi‑Agent Systems using N8N, AutoGen, CrewAI, and Python, reaching over 2,500+ participants.

    DPS-UnternehmerTUM

    September 2024 - December 2024

    AI Engineer

    • Developed a multi-agent RAG tool called KIRK (KI-Rotes Kreuz) for Deutsches Rotes Kreuz Baden-Württemberg
    • Used Groq (LPU), Crew AI multi-agents for LLM guard rails, table parsing
    • Handled over to over 1000+ docs with Langchain, Qdrant as vector DB and Postgresql for Chat
    • RAG evaluation using RAGAs framework and user testing
    • App dockerized with CI/CD and deployment using Coolify-Git

    ZEW & Philipps-University Marburg

    June 2023 - September 2024

    NLP Engineer, Student Assistant

    • Boiler plate detection of German Privacy Policies Pre and Post GDPR using longformer-transformer and doc similarity
    • Parameter Efficient Fine Tuning of LLM using together ai
    • Built and automated pipeline for data scraping, cleaning, preprocessing and transformating of over 7.5M privacy policies
    • Named Entity Recognition (NER) on 7.5M German and US privacy policies using spacy-transformer
    • Productive scraping of 7.5M privacy docs with AWS orchestration & SQL-BigQuery analysis for 662K firms under 2 months.

    Würth Group

    September 2022 - March 2023

    Data Science, Working Student

    • Improved customer buying prediction accuracy for 1.5M customers with XGBoost, Ensemble models and neural networks within 3 months.
    • Elevated stakeholder insights with interactive visualization tool for customer segmentation using PCA & Autoencoder in 2 months.
    • Optimized ML pipelines for business use cases, enhancing processing speed by 80% within 2 months.

    Würth Group

    July 2022 - September 2022

    Data Science Intern

    • Built and evaluated Recommendation System with 75% accuracy using pyspark and deep neural networks in over 2 months.
    • Engineered ML pipelines for data integration to deployment for recommendation system in 4 weeks.
    • Large scale data analysis using Apache SPARK, SQL and Scikit-learn for cross selling analysis

    Tata Consultancy Services

    November 2018 - August 2021

    Systems Engineer

    • Aligned with over 4+ technical and non‑technical stakeholders for requirement and PoCs
    • Accelerated deployment by 50% with CI/CD pipelines and model monitoring
    • Automated an outstanding financial amount computing system for IFRS9
    • Developed and reduced testing time by 90% with automation scripts using Selenium and Java
    • Leveraged SQL to extract over 1 million data points from databases

    Software Associates

    July 2018 - October 2018

    Machine Learning Intern

    • Developed a Hand Gesture Recognition System on ESP 32 with Accelerometer.
    • Used Micropython and Embedded C to program ESP 32.
    • Implemented ensemble model for prediction and WEKA for analysis.

    Projects

    • All

    AI IT Support Agent

    AI IT Support Agent

    Mutli Agent Chatbot

    Mutli Agent Chatbot

    Accident Predictor Website

    Accident Predictor Website

    News Scraper & Summarizer

    News Scraper & Summarizer

    Out of Distribution Detection

    Out of Dist Detection

    IntelliSafe

    IntelliSafe

    Water Damage Detection

    Water Damage Detection

    AI content detector

    AI content detector

    Skills

    Languages and Databases

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    Frameworks

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    Tools

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    Contact

    My Address

    Mannheim

    Germany

    Social Profiles

    Email

    sreeharipradeepkumar1996@gmail.com

    Contact

    +49 176-8845-9397

    +91 8547476466