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Bsahoo99/README.md

Typing introduction

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πŸ“Œ About Me

  • πŸš€ AI Full Stack Developer specializing in production RAG systems and multi-agent AI
  • πŸ’‘ Built systems achieving 90%+ accuracy and 75% efficiency improvements
  • πŸ”­ Expert in LangGraph, LangChain, OpenAI APIs, and real-time voice AI pipelines
  • 🌱 Currently exploring agentic workflows and advanced LLM integration patterns
  • πŸŽ“ MS Computer Science @ UW-Milwaukee
  • πŸ’Ό Seeking Forward-Deployed Engineering and AI/ML Engineering opportunities

🧠 My Focus Areas

  • Production RAG pipelines with LangGraph and LangChain
  • Multi-agent AI systems and agentic workflows
  • Real-time voice AI with OpenAI Whisper and GPT-4
  • Vector databases and semantic search (Pinecone)
  • Full-stack development with React, Node.js, and FastAPI
  • Event-driven architecture with RabbitMQ
  • Cloud infrastructure (AWS, Azure) and Docker/Kubernetes

πŸ“Š GitHub Stats & Trophies

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πŸ› οΈ Languages & Tools

Programming Languages

JavaScript TypeScript Python Java C++ C#

Frontend

React Angular Next.js HTML5 CSS3 Tailwind CSS Bootstrap

Backend

Node.js Express.js Django Spring Boot

Database

MySQL PostgreSQL MongoDB Redis

DevOps & Cloud

Docker Kubernetes AWS Azure

Tools

Git VS Code Postman

Top Languages

πŸ”— Connect with Me

LinkedIN Twitter WhatsApp Gmail Website

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  1. decision-tree-roc-analysis decision-tree-roc-analysis Public

    ROC curve comparison and hyperparameter tuning for Decision Tree classifiers on two OpenML datasets

    Python

  2. distilbert-sentiment-classifier distilbert-sentiment-classifier Public

    Binary sentiment classification on movie reviews using a frozen DistilBERT encoder with a trainable Dense head

    Python

  3. distilgpt2-text-generation distilgpt2-text-generation Public

    Fine-tunes DistilGPT-2 on a conversation dataset and compares base vs fine-tuned text generation

    Python

  4. neural-network-regression-classification neural-network-regression-classification Public

    Comparing four feed-forward neural network architectures on regression and classification tasks using OpenML datasets

    Python

  5. regression-learning-curves regression-learning-curves Public

    Learning curve comparison of KNN, Decision Tree, and Linear Regression regressors on an OpenML dataset

    Python

  6. word2vec-skipgram-vs-cbow word2vec-skipgram-vs-cbow Public

    A comparative study of Word2Vec embeddings using Skip-gram and CBOW architectures, trained on Brown corpus and evaluated against Google News pre-trained vectors

    Python