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eshaanraj25/README.md

Hi there, I'm Eshaan Raj Sharma 👋

I'm passionate about Machine Learning, Data Science, Large Language Models (LLMs), and Generative AI. I love exploring how AI can solve real-world problems and create new possibilities. Always excited to learn and share cool projects!

👨‍🎓🙋‍♂️ About Me 💼🎒:

  • 🔭 I hold a Master's Degree in Computer Science from New York University.
  • 💼 I have 1+ years of experience building and deploying machine learning and deep learning models.
  • 🔧 Worked in building real-time scalable ML systems for Time Series Data.
  • 🤖 Experienced in developing Large Language Models (LLMs) and Generative AI solutions.

🔭 Some of the notable courses I have completed and that helped in gaining strong theoretical foundation include:

🔭 I've used different Machine Learning and Deep Learning models in real-time projects. Below are some used models:

  • Linear Regression
  • Logistic Regression
  • Support Vector Machines (SVM)
  • Decision Trees (DT)
  • Random Forests (RF)
  • K-Nearest Neighbors (KNN)
  • Deep Neural Networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Naive Bayes (NB)
  • Gradient Boosted Decision Trees (GBDT)
  • XGBoost
  • Long Short-Term Memory (LSTM)

🔭 Below are some state-of-the-art (SOTA) time series forecasting models used in various real-time projects:

  • Auto-Regressive (AR) Model
  • Auto-Regressive Moving Averages (ARMA) Model
  • Auto-Regressive Integrated Moving Averages (ARIMA) Model
  • Neural Hierarchical Interpolation of Time Series (N-HiTS) Model
  • Seasonal Auto-Regressive Integrated Moving Averages (SARIMA) Model

🔭 Furthermore, below are some of the tools used during my experience for Generative AI:

  • Langchain
  • LangGraph
  • Retrieval Augmented Generation (RAG)
  • Llama Index
  • OpenAI API
  • Mixtral (LLM)
  • Llama 2 (LLM)
  • GPT - 3 (LLM)
  • GPT - 3.5 (LLM)
  • GPT - 4 (LLM)
  • Deep - Seek (LLM)

🔭 Here are some of the skillsets in regards to DevOps technologies:

  • Docker
  • Docker-Compose
  • Kubernetes
  • Linux
  • Windows Subsystem for Linux (WSL)
  • Travis CI
  • Ubuntu
  • GitLab CI/CD

🪚🔧 My Skills 😀😀:

These valuable tools and techniques have empowered me to successfully develop and comprehend intricate machine learning projects.

Python TensorFlow Scikit-Learn NumPy Pandas PyTorch MongoDB MySQL PowerBI Tableau AWS Docker Kubernetes

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