I am a Computer Science student focused on Machine Learning, Deep Learning, NLP, LLMs, and AI Agents.

I enjoy turning data and ideas into working systems — from classical machine learning models and recommendation engines to semantic search, NLP applications, and AI-powered APIs.

Currently, I'm going deeper into advanced Machine Learning, Deep Learning, Transformers, LLMs, and Agentic AI, while strengthening my backend engineering skills to build production-ready AI applications.

Learning how intelligent systems work — and building them along the way.

name: Kuldeep
role: Computer Science Student

focus:
  - Machine Learning
  - Deep Learning
  - Natural Language Processing
  - Large Language Models
  - AI Agents
  - Recommendation Systems
  - ML Systems

currently_learning:
  - Advanced Machine Learning
  - Deep Learning
  - NLP & Transformers
  - LLM Applications
  - Agentic AI
  - Node.js & Backend Development
  - Data Structures & Algorithms

building:
  - AI/ML Applications
  - Recommendation Systems
  - NLP Applications
  - AI-powered APIs
  - Intelligent Agents

goal:
  - Become a strong AI/ML Engineer
  - Build production-ready AI systems
  - Contribute to open-source AI projects

A hybrid recommendation engine combining TF-IDF, Sentence Transformers, Bayesian ratings, and popularity scoring to generate relevant movie recommendations.

• TF-IDF-based metadata similarity
• Sentence Transformers for semantic plot similarity
• all-MiniLM-L6-v2 embeddings
• Hybrid recommendation scoring
• Bayesian weighted ratings
• Popularity-based ranking

• FastAPI ML inference service
• Node.js / Express backend
• React + Tailwind frontend
• MongoDB
• JWT authentication
• Pre-computed similarity matrices
• Hugging Face model/data hosting

View Project →

A full-stack real-time messaging application with secure authentication, instant messaging, image sharing, and online user communication.

• Real-time one-to-one messaging
• JWT-based authentication
• Secure password hashing
• Socket.IO real-time communication
• Image & profile-picture sharing with Cloudinary
• MongoDB data persistence with Mongoose
• React + Vite frontend
• Zustand state management
• Responsive UI with Tailwind CSS & DaisyUI
• REST API with Node.js & Express.js

View Project →

An NLP-based machine learning system that classifies SMS messages as spam or legitimate (ham).

• Text preprocessing
• Feature extraction
• Machine learning classification
• Model and vectorizer persistence
• Python-based inference
• Jupyter experimentation

View Project →

A computer networking project simulating Routing Information Protocol (RIP) and distance-vector routing concepts.

• Router and network topology simulation
• Distance-vector routing
• Interactive visualization
• Packet movement simulation
• Python + Tkinter

View Project →

I'm particularly interested in building systems around:

• 🧠 Machine Learning
• 🔥 Deep Learning
• 💬 Natural Language Processing
• 🧩 Embeddings & Semantic Search
• 🎯 Recommendation Systems
• 🦙 Large Language Models
• 🔎 Retrieval-Augmented Generation
• 🤖 AI Agents & Agentic Workflows
• ⚡ AI-powered APIs
• 🚀 ML Model Deployment

I want to gradually move from building personal projects to contributing to real-world AI and open-source projects.

My current interests include:

Machine Learning
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NLP & Deep Learning
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Transformers & LLMs
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      v
RAG & Semantic Search
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      v
AI Agents
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      v
Production AI Systems
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      v
Open Source Contributions

                  AI/ML ENGINEERING PATH

                 Python & Data Science
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                         v
              Classical Machine Learning
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                         v
             Feature Engineering & NLP
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                         v
                  Deep Learning
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                         v
              Transformers & Embeddings
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                         v
                   LLMs & RAG
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                         v
                  AI Agents
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                         v
                ML Model Deployment
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              Production AI Systems
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                         v
             Open Source Contributions

primary_language:
  - Python
  - C++
  - Javascript


machine_learning:
  - Scikit-learn
  - TensorFlow
  - Sentence Transformers
  - Hugging Face

data_science:
  - NumPy
  - Pandas
  - Matplotlib
  - Jupyter

backend:
  - FastAPI
  - Node.js
  - Express.js

tools:
  - Git
  - GitHub

currently_exploring:
  - Deep Learning
  - NLP
  - LLMs
  - AI Agents
  - RAG

Interested in discussions around:

• Machine Learning & AI
• NLP & LLMs
• AI Agents
• Recommendation Systems
• AI Engineering
• Open Source
• Building practical AI systems