I am a final-year B.Tech Computer Science student with strong hands-on experience in
Machine Learning, Deep Learning, Data Analysis, and Large Language Models.

I specialize in:

• Building end-to-end ML pipelines
• Designing deep learning models
• Developing LLM-powered applications using LangChain & LangGraph

🎯 Career Goal: Secure a Data Scientist / ML Engineer role in a high-impact tech organization.

• Python (DSA, OOP, File Handling)
• SQL, Java, C/C++
• Data Structures & Algorithms

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Feature Engineering
• Statistical Analysis

Libraries: Pandas, NumPy, SciPy

• Regression & Classification
• Model Evaluation & Optimization
• Scikit-learn Pipelines

• Neural Networks (ANN, CNN, RNN, LSTM)
• Transfer Learning
• Computer Vision Models

Frameworks: PyTorch, TensorFlow, Keras

• Transformers (BERT, GPT, T5, LLaMA)
• Prompt Engineering
• Embeddings & Vector Databases
• Retrieval-Augmented Generation (RAG)

Tools: LangChain, LangGraph, FAISS, HuggingFace

• 📊 Data Analysis Projects (4+)
  End-to-end analysis using real-world datasets with insights and visualizations.

• 🧬 Cancer Detection Device (Ongoing – Team Project)
  Applying ML & sensor-based intelligence for early detection use cases.

• 🤖 LLM Systems (Ongoing)
  Building custom LLM pipelines and AI agents using Transformers, LangChain, and LangGraph.

• 📄 Resume: https://drive.google.com/...
• 🌐 Portfolio: https://sandeepmuhal88.github.io/sandeep-portfolio-website/
• 🎥 365 Days Challenge complete and achieve my goal: https://youtube.com/@sandeepmuhal88