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Deepak Parappagoudar

Experienced Machine Learning Engineer specializing in NLP, AI, and data science with hands-on expertise in developing and deploying LLM solutions. Currently driving innovation at YesBoss Assistant, where I optimize LLM prompt engineering and fine-tune models for enhanced performance. Proven track record in designing RAG pipelines, building classifiers with high accuracy, and leveraging tools like Power BI for data insights. Holder of an AWS Machine Learning certification and skilled in Python, PyTorch, and Docker. Passionate about pushing the boundaries of AI to build transformative applications.

  • Role

    Full-Stack AI Engineer

  • Years of Experience

    3.6 years

Skillsets

  • Ollama
  • time series forecasting
  • R
  • PowerBI
  • Pinecone
  • NLP
  • Neo4j
  • MLFlow
  • LLMOps
  • Keras
  • ETL
  • Data science pipeline
  • Cypher
  • Milvus
  • Python - 3.0 Years
  • LlamaIndex
  • Transformers
  • LangChain - 2.0 Years
  • Scikit-learn
  • Streamlit
  • pandas
  • NumPy
  • TensorFlow - 2.0 Years
  • PyTorch - 2.0 Years
  • Docker
  • Git
  • SQL

Professional Summary

3.6Years
  • Aug, 2024 - Present1 yr 8 months

    Full-Stack AI Engineer

    YesBoss Assistant
  • Mar, 2024 - Aug, 2024 5 months

    Machine Learning Engineer

    Itemis AG
  • Jun, 2023 - Nov, 2023 5 months

    Master's Thesis in Generative AI

    Pester Pac Automation
  • Mar, 2022 - Aug, 2022 5 months

    NLP Researcher

    FAU Erlangen-Nrnberg
  • Sep, 2022 - May, 2023 8 months

    Data Analyst

    Siemens Healthineers

Applications & Tools Known

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    Power BI

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    Microsoft Power Automate

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    Python

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    PyTorch

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    Pandas

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    Scikit-Learn

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    Matplotlib

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    AWS

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    Azure

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    LangChain

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    transformers

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    Docker

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    Git

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    Qdrant

Work History

3.6Years

Full-Stack AI Engineer

YesBoss Assistant
Aug, 2024 - Present1 yr 8 months
    Collaborating with CTO and CEO to develop AI assistant. Fine-tuned Llama 3.1-8b on AWS. Integrated AI model into full-stack with FastAPI backend and React frontend. Automated CI/CD pipelines.

Machine Learning Engineer

Itemis AG
Mar, 2024 - Aug, 2024 5 months
    Designed and deployed RAG and GraphRAG pipelines. Developed multi-class requirements classifier with 0.92 f-1 score. Created LLM-agents for EDA.

Master's Thesis in Generative AI

Pester Pac Automation
Jun, 2023 - Nov, 2023 5 months
    Curated datasets, fine-tuned and benchmarked SLMs like GPT-2 and Flan-T5 for text generation. Achieved 95% accuracy with best model.

Data Analyst

Siemens Healthineers
Sep, 2022 - May, 2023 8 months
    Developed Power BI dashboards. Analyzed 5M+ records with SQL and Python, boosting efficiency by 20%.

NLP Researcher

FAU Erlangen-Nrnberg
Mar, 2022 - Aug, 2022 5 months
    Developed NLP parser for user inputs into trigger-action code. Evaluated neural models and achieved 97.79% f-1 score with LSTM.

Achievements

  • Designed and deployed end-to-end advanced Retrieval-Augmented Generation (RAG) pipelines using open-source LLMs to answer user questions over complex documents.
  • Achieved an F-1 score of 0.92 with a multi-class requirements classifier using a multi-layer perceptron model and sentence transformers.
  • Achieved a 95% human evaluation score for natural language text descriptions tailored for symbolic representations of variables.

Major Projects

1Projects

Generative AI Model for Symbolic Representations

Jun, 2023 - Nov, 2023 5 months
    Curated datasets and fine-tuned SLMs like GPT-2 for generating natural language descriptions of symbolic variables.

Education

  • M.Sc. DATA SCIENCE

    Erlangen FriedrichAlexander University (2024)

  • B.Eng. COMPUTER SCIENCE & ENGINEERING

    K.L.S. Gogte Institute of Technology (2021)

Certifications

  • Aws certified machine learning- specialty

  • Microsoft certified: azure fundamentals