Hello, I'm Ambuj Kumar Tripathi
A passionate developer transitioning from a telecom background to the dynamic world of Generative AI and coding. I am a dedicated self-learner building my foundation in web development.
About Me
My name is Ambuj and my journey has been from a Telecom professional to a self-taught coder and AI enthusiast. I have started my venture into the world of Generative AI and coding by using tools like Gemini and ChatGPT.
My goal is to use my new skills to create meaningful projects. This portfolio is a testament to my growth and learning.
My Skills
Certifications
Get Started with Language Models in Azure Databricks
Issued by: Microsoft
Certificate available on request
Review responsible AI principles for language models in Azure Databricks
Issued by: Microsoft
Certificate available on request
Build Real World AI Applications with Gemini and Imagen (Lab-based skill badge)
Issued by: Google Cloud
Verify on CredlyExplore Generative AI with the Vertex AI Gemini API Skill Badge
Issued by: Google Cloud
Verify on CredlyProjects
AI Resume Chatbot (IBM WatsonX & Netlify)
A chatbot built using IBM WatsonX Assistant to answer resume questions, deployed on Netlify.
In this project, I used IBM WatsonX Assistant to create a chatbot. I designed the conversation flow, intents, and entities. I then embedded this bot into an HTML webpage and deployed it on Netlify.
**Technologies Used:** IBM WatsonX Assistant, HTML, CSS, Netlify
Ambuj AI ChatBot (Gradio & Hugging Face Spaces)
Prompt-engineered resume chatbot built with Python and Gradio, deployed on Hugging Face Spaces.
Developed a rule-based chatbot using Python and Gradio's ChatInterface, hosted live on Hugging Face Spaces. The bot responds to interview-style questions using pre-defined keyword logic for domains like work experience, certifications, tools, and projects.
**Technologies Used:** Python, Gradio, Hugging Face Spaces.
**Project Scope:** Personal branding, recruiter interaction, and AI-based resume assistant.
**Future Scope:** Model integration via Hugging Face Transformers (e.g., DialoGPT, DistilGPT2). Ability to upgrade with fine-tuned LLMs based on system specifications. Can be scaled to handle semantic queries via NLP libraries (spaCy, transformers).
LLaMA 3.3.70B Model Integration
A project demonstrating the integration of the LLaMA 3.3.70B model for advanced text generation.
In this project, I used Meta's LLaMA 3.3.70B model to create a conversational bot. This bot is integrated via an API, which can handle complex and creative queries. This project demonstrates my understanding of integrating an advanced-level LLM into a web application.
**Technologies Used:** Python, LLM (LLaMA 3.3.70B), API Integration
Sample Videos
Here you can watch my AI-generated videos, some of which have received over 3.3K+ views.
This person doesnot exists
Neural Control explainer
Explainer Truth