Jyoti Nigam
AI Engineer • Educator • Speaker
Building applied AI, teaching engineers, and sharing explainers.
Featured Projects
A comprehensive collection of AI applications, web apps, and data science projects showcasing my expertise across multiple domains.
🤖AI Applications
AI Stock Advisor App
Built an AI-driven stock advisor integrating real-time financial data (Yahoo Finance) with Gemini LLM multi-agent workflows for market insights and recommendations.
HR Chatbot Assistant
Intelligent HR chatbot that processes job descriptions, segments user questions into intents (HR, QnA, chitchat), and responds using Google's Gemini API with spaCy NLP.
LinkedIn Post Generator
AI-powered LinkedIn post generator using CrewAI orchestration with real-time web research via SerperDev API. Creates engaging posts with customizable tone and length.
LangGraph Agent - GAIA Benchmark
Advanced AI agent implementation using LangGraph framework for solving complex reasoning tasks from the GAIA benchmark, demonstrating multi-step problem-solving capabilities.
Customer Support Chatbot using RAG
Intelligent customer support chatbot built with Retrieval-Augmented Generation (RAG) architecture for accurate and contextual responses to customer queries.
AI Travel Planner
An intelligent travel planning application that creates personalized itineraries using AI-powered research and recommendations. Built with Google's Gemini AI and SerpAPI for real-time travel information.
AI Productivity Booster
An intelligent productivity application that creates personalized daily, weekly, and monthly productivity strategies using AI agents. Built with Google's Gemini AI and the Agno framework for multi-agent orchestration.
📊Data Science
Airline Passenger Forecasting (Time Series)
Jupyter notebook implementing ARIMA models for baseline passenger demand forecasting with comprehensive analysis of seasonality/trend decomposition and accuracy improvements.
Multi-Document Retrieval QA System
Jupyter notebook demonstrating a Retrieval-Augmented Generation (RAG) pipeline combining FAISS vector database with Cohere LLM for semantic question answering across multiple documents.
Multi-class Text Classification using Naive Bayes
Text processing and Naive Bayes Model for multi-class text classification on consumer financial complaints dataset. Predicts product categories from complaint narratives with comprehensive preprocessing and evaluation.
Word2Vec: Learning word embeddings using Skip-gram Method
Implementation of Word2Vec SkipGram model from scratch to learn word embeddings from consumer complaint narratives. Includes text preprocessing and neural network-based word vector learning.
100 Days of AI Campaign
A curated journey to learn, explore, and understand Artificial Intelligence from the ground up. Each day, a new topic is explored with high-quality posts published on LinkedIn.
Daily AI Education Series
Follow along as I break down complex AI concepts into digestible daily posts. From AI fundamentals to machine learning algorithms, each post is designed to help you level up your AI knowledge.
Articles & Content
My published articles on GeeksforGeeks and Hashnode, covering topics from Machine Learning to FastAPI and Computer Science fundamentals.
Artificial Intelligence in 2025: 12 Cutting-Edge Applications Redefining Our World
Explore how AI is transforming healthcare, finance, education, and more in 2025 with real-world examples, emerging trends, and the challenges shaping its future.
The Future of Software: From Code to AI Agents
Exploring the evolution of software development from traditional coding to AI-powered agents and autonomous systems.
Getting Started with Google Gemini with Python: API Integration and Model Capabilities
Comprehensive guide to integrating Google Gemini API with Python, covering model capabilities and practical implementations.
FAST API handling query and path parameters
Complete guide to handling query and path parameters in FastAPI with practical examples and best practices.
General steps to follow in a Machine learning problem
Step-by-step guide to approaching machine learning problems systematically, from data collection to model deployment.
Facial expression detection using deepface module in python
Tutorial on implementing facial expression detection using the DeepFace module in Python with practical examples.
Speaking & Events
Sharing knowledge at conferences, meetups, and workshops around the world.
Filter Content
TUX Talk 2025
Invited as speaker at TUX Talk 2025 at CSJM University Kanpur, presenting on open-source technologies and Linux ecosystem to students and faculty members.
FOSS United Kanpur 3rd City Meetup
Co-led the Third FOSS United Kanpur City Meetup at CSJM University. From sitting in the audience as a student to standing on stage as a speaker at my alma mater - the journey came full circle. Organized everything from scratch including social media posts, helping anchors prepare, and managing every detail.
Google Extended IO 2025
Invited as speaker at Google Extended IO 2025, presenting on advanced AI and machine learning topics to a global audience of developers and tech leaders.
FOSS United Kanpur Hackathon
Organized and led the FOSS United Kanpur Hackathon, bringing together developers, designers, and innovators to build open-source solutions for real-world problems. A comprehensive hackathon experience with mentoring and community building.
Google DevFest 2024 Kanpur
The 19-year-old Jyoti would have never imagined this moment. Invited as speaker at Google DevFest 2024 Kanpur, engaging a diverse audience of developers and tech enthusiasts, fostering collaboration and knowledge sharing. A journey from student to speaker at my alma mater.
FOSS United Kanpur 1st City Meetup
Delivered a presentation on 'Introduction to Docker' at the first-ever FOSS United Kanpur City Meetup at Jagran Institute of Management. Covered Docker history, concepts, use cases, and key terms. Spoke alongside amazing speakers including Eshan Singh, Prasenjit Gautam, Samarth Mishra, and James Reilly.
Teaching & Education
Empowering engineers with hands-on learning experiences in AI and data science through teaching and mentorship.
Educational Content & Mentorship
I create educational content, conduct workshops, and mentor aspiring AI engineers. My teaching approach focuses on practical applications and real-world problem-solving.
Let's Connect
Have a project in mind? Want to collaborate? Or just want to say hello? I'd love to hear from you.