Personal portfolio and technical work spanning Machine Learning, Deep Learning, LLMs, Agentic AI, NLP, and applied AI systems.
Portfolio: https://jaysingh.vercel.app
GitHub: https://github.com/JaySingh79
- Machine Learning and Deep Learning
- Large Language Models and Transformer architectures
- Retrieval-Augmented Generation (RAG)
- Agentic AI and tool-using systems
- NLP and representation learning
- ML experimentation, evaluation, and optimization
- Production-oriented AI/ML engineering
Languages: Python, SQL, JavaScript
ML/DL: PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost
LLM/NLP: Transformers, LangChain, Sentence Transformers, RAG, PEFT/LoRA
Data: NumPy, Pandas, Matplotlib
Infrastructure: Docker, Git, Cloud Platforms, Vector Databases
This repository contains the source code for my personal portfolio, featuring selected projects, technical work, experiments, and professional experience.
The portfolio focuses on practical implementations across the ML stack — from traditional machine learning and deep learning to modern LLM, RAG, and agentic systems.
| Area | Topics |
|---|---|
| Machine Learning | Supervised/unsupervised learning, feature engineering, evaluation |
| Deep Learning | Neural architectures, optimization, representation learning |
| LLMs | Transformers, fine-tuning, inference, prompting |
| RAG | Retrieval, embeddings, reranking, vector search |
| Agentic AI | Tool use, workflows, orchestration, multi-step systems |
| NLP | Embeddings, semantic search, language modeling |
| ML Engineering | APIs, pipelines, deployment, evaluation, monitoring |
Portfolio/
├── src/ # Application source
├── public/ # Static assets
├── index.html # Application entry
├── main.js # Application logic
├── style.css # Styling
├── robots.txt
├── sitemap.xml
└── README.md