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PRATdoppelEK/README.md

Prateek Gaur — Applied ML Engineer

München, Deutschland · LinkedIn · prateekgaur@gmx.de


About me

I am an Applied ML Engineer with a background that grew from practice: Mechanical Engineering (B.Tech.)Battery Systems & Energy Engineering (M.Sc. TU Berlin)Machine Learning & AI Engineering

This combination is rare. I don't just understand Python, PyTorch, and LLM pipelines — I understand what the data physically means. Battery degradation models, thermal simulations, time-series data from industrial systems: this is the domain knowledge my ML solutions are built on.


What I build

Area Tools
ML & Deep Learning Python · PyTorch · scikit-learn · LSTM/RNN · 3D U-Net · XGBoost
LLM & Agentic AI LangChain · LlamaIndex · RAG systems · FAISS/Chroma · local LLMs
Battery & Energy SOC/SOH modelling · BMS · thermal simulation · cell balancing
MLOps & Cloud Azure · CI/CD basics · SQL · REST APIs · Git · reproducible experiments
CAD & Simulation CATIA V5 · Siemens NX · SolidWorks · MATLAB/Simulink · HyperWorks

Featured projects

LSTM and RNN models for State-of-Health estimation and degradation forecasting on real industrial battery datasets. Benchmarked against Random Forest and SVM baselines. Python PyTorch LSTM time-series battery

Production-ready Retrieval-Augmented Generation pipeline over internal simulation guidelines. Integrates local LLMs for data privacy. Semantic search over complex engineering specifications. LangChain LlamaIndex FAISS RAG local-LLM


Education & Credentials

  • 🎓 M.Sc. Energy Engineering — Technische Universität Berlin (2021) Thesis: Custom Battery Cell Balancing Circuit Design Under Thermal Gradient
  • 🎓 B.Tech. Mechanical Engineering — Rajasthan Technical University (2016)
  • ✅ Machine Learning Specialization — DeepLearning.AI / Stanford Online
  • ✅ Battery Management Systems — University of Colorado Boulder (with honours)
  • ✅ Python for Everybody — University of Michigan
  • ✅ CATIA V5 Certified Associate — Dassault Systèmes
  • ✅ Siemens NX Certified Designer

Currently looking for

ML Engineer · AI Engineer · Data Scientist · Battery Systems Engineer Open to roles in Munich and remote across Germany


Languages: English (C2) · German (B2) · Hindi (native)

Pinned Loading

  1. battery-digital-twin battery-digital-twin Public

    End-to-end MLOps pipeline for battery State-of-Health (SOH) prediction — LSTM/GRU/Transformer models, FastAPI serving, Streamlit dashboard, Evidently drift monitoring, Docker and Kubernetes deploym…

    Python

  2. battery-soh-lstm battery-soh-lstm Public

    LSTM/RNN models for battery State-of-Health (SOH) prediction and degradation forecasting on industrial time-series data

    Python

  3. rag-engineering-docs rag-engineering-docs Public

    Production-ready RAG pipeline for engineering documentation using LangChain, LlamaIndex and FAISS with local LLM integration

    Python

  4. ai-copilot ai-copilot Public

    Personal AI copilot with three specialist agents: Job Hunter (live search, CV RAG, PDF cover letters, push notifications), Code Assistant (solve, debug, explain, review, convert), and Knowledge Eng…

    Python

  5. autonomous-drone-dronekit autonomous-drone-dronekit Public

    Python-based autonomous drone control using DroneKit & OpenCV — GPS navigation, camera integration, obstacle detection and object tracking. Simulation & hardware-ready.

    Python

  6. llm-agents-metadata-extraction llm-agents-metadata-extraction Public

    Hybrid ML + LLM pipeline that extracts and validates technical metadata from engineering text and web sources. Random Forest and SVM classifiers extended by LLM agents for structured JSON output.

    Python