Über Sreehari
I’m Sreehari Pradeep Kumar, an AI Specialist and Data Scientist with extensive experience building and delivering production-level AI solutions independently. I have successfully developed end-to-end machine learning and multi-agent applications deployed on cloud platforms like Azure and AWS. My expertise spans the entire project lifecycle—from model development and backend engineering to automated deployment with CI/CD pipelines—ensuring scalable, reliable, and high-impact results. I am passionate about turning complex business challenges into practical AI-driven solutions and have a strong track record of delivering award-winning projects that meet real-world demands.
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Konversationssicher
Vor Ort möglich
Mannheim (bis zu 50 km)
Projekt- und Berufserfahrung
- SARHUB4TECHAI SPECIALIST (FOUNDING TEAM)E-COMMERCEJanuar 2025 - Heute (1 Jahr und 7 Monate)Germany• Shipped an end to end MVP Multi Agent app for Trade & Logistics on multi lingual commodity emails.• The app utilized multi‑agent doc parser and hybrid RAG (Graph + Vector) pipeline powering a multilingual chatbot .• Application built using React, Typescript and deployed on Supabase. Technology: Azure, CrewAI, Typescript, Flask, Agno, Autogen, Qdrant, LangGraph, Neo4j Langchain
- UnternehmerTUM, DEUTSCHES ROTES KREUZAI ENGINEERGESUNDHEIT & WELLNESSSeptember 2024 - Dezember 2024 (3 Monate)Munich, Germany• Built KIRK (KI Rotes Kreuz)‑AgenticAI driven reporting tool capable of reducing reporting time by 96%• Scalable dockerized tool capable of handling over 1000+ docs integrated with RAG(Langchain) & Crew AI Multi Agents.• Implemented LLMOps workflows using LangSmith for prompt/version tracking and evaluation• Evaluated Agentic AI tool using implicit user feedback, retrieval, LLM evaluation metrics . Technology: Langchain, Llama, Qdrant, Docker, Qwen, Coolify, FastAPI/Flask, Vertex AI Studio, PostgreSQL, DBeaver
- PHILIPPS UNIVERSITY MARBURG & ZEWDATA SCIENTIST, STUDENTASSISTANTDIGITALAGENTUREN & IT-CONSULTINGJuni 2023 - September 2024 (1 Jahr und 3 Monate)68 Mannheim, Germany• Implemented a RAG‑based system with a fine‑tuned LLM and NER agent to process 1.4M privacy policies.• Developed a time series‑based system to detect boilerplate content in German privacy policies using BERT.• Orchestrated multiprocess scraping of 7.5M+ docs using AWS; analyzed data for 662K firms using SQL on BigQuery. Technology: spacy, Docker, GitLab, AWS, EKS, LongformerTransformer, Weights & Biases, HuggingFace, R
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Ausbildung und Abschlüsse
- Masters in Data ScienceUniversität Mannheim2024Data Science, Deep Learning, Machine Learning, Natural Language Learning, Python, Data Mining, Data Engineering
- BACHELORS in ELECTRONICS & COMMUNiCATiONMarAthanasisus College of Engineering2018Micro Controller programming, Micro Processor Programming, Embedding programming, C