Building real-world AI systems, automating workflows, and shipping scalable products.
Powered by strong coffee and large language models ☕🤖
I'm KZ, a results-driven AI Tech Lead and Generative AI Developer focused on delivering intelligent, scalable, and business-aligned AI solutions. With 4.5+ years of deep tech experience, I build:
- 🔹 End-to-end LLM applications with production-grade architecture
- 🔹 AI scraping systems using GPT + Selenium + Scrapy
- 🔹 High-performing PDF agents, chatbots, and RAG pipelines
- 🔹 Custom SaaS platforms with smart automation baked in
I lead cross-functional teams, own delivery pipelines, and bring a laser focus on velocity + quality. Not here for theory—here to build.
- Python (FastAPI, LangChain, Streamlit, Gradio)
- JavaScript / TypeScript (React, Node.js)
- Shell Scripting, SQL
- Models: LLaMA 3, GPT-4, GPT-3.5, Mistral, Falcon, Claude
- Embeddings: OpenAI, HuggingFace, Groq
- RAG & Agents: LangChain, ChromaDB, Pinecone, Elasticsearch, FAISS
- Image & Video Gen: Diffusion Models, LoRA, Sora
- Tools: Selenium, Scrapy, BeautifulSoup, Playwright
- Pipelines: Auto-classification, data cleaning, structured output
- Databases: PostgreSQL, MongoDB, MySQL, Firebase
- Cloud: AWS S3, GCP, EC2
- DevOps: Docker, NGINX, IIS, GitHub Actions
- Streamlit, Plotly, Dash
- NLP-powered filters, dynamic graph generation
- Role-based dashboards & lead conversion panels
Here's what I'm cooking right now — from AI pipelines to production deployments:
- 🧾 PDF Agent using LLaMA 3 + Groq with persistent vector indexing and contextual chat history
- 📂 Multi-Document Query App with optimized RAG, Elasticsearch, and dynamic prompt engineering
- 🔄 A2A (Agent-to-Agent Communication): Coordinating autonomous agents for multi-step tasks
- 🧠 MCP (Multi-Component Pipeline): Architecting reusable modules for embeddings, retrieval, reasoning, and generation
- 🗂️ Continuous session-based policy chatbots with session memory and source document tracking
- 💬 AI-powered customer support systems with feedback loops and relevance boosting
- 🎯 Query understanding using GPT for smart routing (graph generation, lead filtering, etc.)
- ⚡ Real-time AI scraping engines using Scrapy + GPT for classification & transformation
- 🌐 Auto-login scraping with Selenium/Playwright and storage to PostgreSQL + AWS S3
- 🧹 Smart document cleaning, tagging, and indexing pipeline
- 📉 Custom lead analytics dashboards (Streamlit) with NLP-powered filters and graph insights
- 🔍 AI-powered search and trend analysis dashboards using vector databases
- 📊 Role-based insights: Sales team breakdowns, stage-wise lead trends, conversion predictors
- 🚀 FastAPI + Streamlit apps with token-authenticated APIs, session handling, and user roles
- 📡 API development for internal tools and external client use (RAG, PDF QnA, chatbot endpoints)
- ⚙️ Efficient background tasks & cron jobs for continuous processing and vector updates
- 🧠 Groq API integration with LLaMA3-70B for lightning-fast inference
- 📦 OpenAI, HuggingFace, Mistral support with LoRA fine-tuning for custom use-cases
- 🗂️ ElasticSearch, FAISS, Pinecone pipelines with metadata-rich vector embedding storage
- 🧪 Prompt engineering for better query disambiguation and agent accuracy
- 🔗 Memory systems for long-term context and multi-turn reasoning
- 🎥 Generative media tools (text-to-video, image-gen pipelines using diffusion models)
💼 LinkedIn: https://www.linkedin.com/in/kz2511/
📬 Email: kunalzaveri11@gmail.com
💡 Open to: GenAI consulting, contract roles, startup collabs, and tech leadership gigs.
“I don’t just prompt LLMs—I prompt outcomes.”
⭐ Explore my repositories, drop a star, and let’s build the next-gen AI stack together.