Dhvanit Yadav

who am i

A little bit about me

⚡ n8n Wizard

🧠 ML Engineer

🚀 Automating

Hey! I'm Dhvanit, an AI/ML Engineer from Bhavnagar, Gujarat 🇮🇳. I love building things that think — recommendation engines, predictive models, and automation workflows that save people hours of boring manual work.

Completed Engineering at Gyanmanjari Institute of Technology with 8.11 CGPA, I've spent the last year getting my hands dirty with real-world AI projects at startups and labs that actually ship.

When I'm not training models or wiring up n8n nodes, I'm probably chatting with LLMs, breaking things, and then fixing them with Python. 🐍⚡

10+

AI Automation Workflows

Projects

80%

Manual Work Eliminated

∞

Glasses of Water

what i work with

Skills & Technologies

🐍 Languages & Data

🐍 Python

🐼 Pandas

🔢 NumPy

🌐 HTML

🤖 AI & Machine Learning

🧠 Sci-Kit Learn

⛓️ LangChain

🔄 RAG Systems

🤖 n8n Automation

💬 LLM Integration

🛠️ Tools & Frameworks

⚡ FastAPI

🎯 Streamlit

🕷️ Beautiful Soup

🐳 Docker

🐙 Git & GitHub

where i've worked

Work Experience

⚡ The ZeroOne Tech Labs

AIML Trainee

📅 Sep 2025 – Jan 2026

Built 10+ AI-driven automation workflows using n8n
Engineered stateful RAG-based conversational agents using LangGraph, LangChain, and a persistent SQLite backend
Developed a Human-in-the-Loop (HITL) LinkedIn CRM & AI Pitching pipeline using Playwright and Supabase
Deployed a Telegram-based Personal AI Assistant for real-time task execution and automated workflow monitoring
Reduced manual operational workload by 60–70% through intelligent event-driven systems

🔬 DevTrain Labs

Data Science Intern

📅 Jul 2025

Engineered an end-to-end Machine Learning-based Tumor Detection System Executed comprehensive exploratory data analysis (EDA), data cleaning, and advanced feature engineering
Trained, optimized, and rigorously evaluated multiple classification models Improved predictive accuracy and overall system reliability for complex medical diagnostics

things i've built

Featured Projects

(HITL) LinkedIn CRM & AI Pitching Agent

Outbound CRM automation pipeline designed to safely scale lead pitching without triggering anti-bot algorithms. Features Apify lead extraction, n8n data orchestration, centralized Supabase state management, and headless Playwright scripts for automated tracking and LLM-driven messaging.

Python Playwright n8n Supabase Apify LLMs

Movie Recommendation Engine

Content-based recommendation engine powered by cosine similarity and natural language processing. Includes full data preprocessing with Pandas, feature extraction via Scikit-Learn and NLTK, and an interactive Streamlit UI seamlessly integrated with the TMDB REST API.

Python Scikit-Learn Pandas NLTK Streamlit TMDB API

"Stey" — AI Personal Assistant Agent

Multimodal, voice-and-text activated personal assistant built for autonomous daily planning and intent routing. Orchestrates complex natural language workflows to seamlessly manage emails, synthesize voice responses, and dynamically query or restructure a Google Sheets database.

n8n ElevenLabs API Gmail API Google Sheets API LLMs

Deep Research Agent for Multi-Article Analysis

Advanced Retrieval-Augmented Generation (RAG) system capable of autonomous web article ingestion and deep contextual analysis. Utilizes HuggingFace semantic embeddings, local FAISS vector search, and a Contextual Compression Retriever, all deployed via a Streamlit UI with modular support for local and cloud models.

Python LangChain Streamlit FAISS HuggingFace Gemini/Local LLMs

A little bit about me

Skills & Technologies

Work Experience

Featured Projects

Education

Got an idea? Let's talk!