LangChain SQL Chatbot
A natural-language SQL assistant using LangChain, Groq and Qwen to query SQLite and MySQL databases.
AMAN SINGH
Generative AI / ML Developer
I build practical AI systems using Python, machine learning, LLMs, RAG, AI agents, NLP and intelligent applications.
Focused on turning modern AI techniques into useful, deployable products with clean interfaces and real-world applications.
View my work ↗/Selected work
AI systems built to solve real problems.
LangChain Chat with Search
An AI research assistant that intelligently combines web search, Wikipedia and arXiv through a LangChain agent.
Conversational RAG
A PDF-based conversational RAG system with semantic retrieval, vector search and context-aware chat history.
Research Paper Q&A
A RAG-powered research assistant for querying research papers using embeddings, FAISS and LLMs.
ANN Customer Churn
A deep learning model that predicts customer churn with preprocessing and real-time Streamlit deployment.
LSTM Next Word Prediction
An NLP deep learning system that predicts the next word using an LSTM trained on Shakespeare's Hamlet.
Deep Agents Chatbot
A multi-step AI research assistant with planning, web search, file tools, long-term context and specialised subagents.
LangChain Text Summarizer
A URL-based AI summarizer for YouTube videos and websites, powered by LangChain, Groq and Qwen.
NVIDIA NIM RAG
A PDF question-answering system that combines NVIDIA embeddings, FAISS retrieval and an NVIDIA NIM language model.
Agentic RAG Assistant
Smart India Hackathon solution: a PDF assistant that routes questions to document search or a calculator before creating an answer.
CodeGuru 2.0
A full-stack AI learning companion for code explanations, debugging, document RAG, notes, quizzes and personalised chat.
/Experience
Always learning.
Always building.
Generative AI
Building practical applications around LLMs, RAG systems, prompt engineering and AI agents.
LangChain & AI Agents
Exploring tool-using agents, structured workflows, search systems and LLM orchestration.
Retrieval-Augmented Generation
Working with embeddings, vector databases, semantic retrieval and document intelligence.
NLP & Deep Learning
Building sequence-based NLP systems using tokenization, embeddings, LSTMs and TensorFlow.
AI + Data Systems
Connecting intelligent models with databases, APIs and real-world application workflows.
Full-Stack AI Products
Building complete AI learning products with FastAPI, LangChain RAG, authentication, chat history and local or cloud model support.
/Certifications
Learning that ships
into real-world work.
View certificate ↗
/Course completion
Complete Generative AI Course with LangChain and Hugging Face
A hands-on Generative AI course focused on building, deploying and optimizing production-ready applications with LangChain and Hugging Face.
Instructor
Krish Naik & KRISHAI Technologies
Focus
Generative AI, RAG & deployment
LangChain workflows
Hugging Face integration
RAG pipelines
Model fine-tuning
AI deployment
Verify credential ↗
/Skills
Tools & technologies I work with.
Stack
Python
Machine Learning
Deep Learning
NLP
LSTM
TensorFlow
Scikit-learn
LLMs
Generative AI
RAG
AI Agents
LangChain
Hugging Face
Model Fine-Tuning
Model Deployment
Groq
Ollama
FAISS
ChromaDB
SQL
Streamlit
Git / GitHub
/About
A builder focused on useful intelligence.
I'm a Generative AI / ML developer focused on building practical AI applications. I enjoy working with Python, machine learning, deep learning, LLMs, RAG, AI agents, LangChain, NLP and intelligent data-driven systems.
Education
B.Tech, Computer Science & Engineering
Indraprastha Engineering College, Ghaziabad (AKTU University)
2024 – 2028 (Pursuing)Senior Secondary (10+2), Science
Platinum Valley International School, Surya Nagar, Ghaziabad
Completed in 2024/Have an AI project in mind?