👋 Hi, I'm Vivek Nayyar

🚀 Engineering Leader | 🧠 AI Builder

I’m an engineering leader and hands-on AI/ML builder, focused on deeply understanding and implementing the nuts and bolts of modern LLMs. From training tokenizers and building BPE from scratch, to implementing transformers line-by-line, I love demystifying AI—one project and one workshop at a time.

🧠 Projects & Experiments

Project	What I Did
🧩 Byte Pair Encoding (BPE) from Scratch	Wrote a custom BPE tokenizer in Python with support for special tokens, regex splitting, and vocab merging.
🧠 LLM from Scratch	Implemented a transformer-based LLM (embedding → attention → MLP → logits) using only PyTorch. Includes training loop, sampling, and inference.
🦙 Agentic RAG Pipeline	Built end-to-end Retrieval-Augmented Generation workflows using LangChain, DuckDB, FAISS, and streaming token-by-token inference.
📊 Text-to-SQL for CSVs	Built a system to parse natural language queries into SQL and run them over uploaded CSVs. Added Vespa-style search for LIKE queries.
🇮🇳 Hindi Tokenizer (WIP)	Training a BPE tokenizer from scratch on Hindi corpora to enable better subword tokenization for Indian languages.
🔐 Secure LLM Workflows	Integrated Cloudflare Zero Trust, IP whitelisting, and API key validation in LangChain-based pipelines.
📦 SmartInvestReturns	A personal finance site to calculate SIP, retirement corpus, and mutual fund strategies. Built with Next.js & TypeScript.

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🎓 Workshops & Knowledge Sharing

• 🎥 YouTube Channel → @locallobaat I create short explainers and tutorials on AI topics like tokenization, transformers, and building your own RAG pipeline.
  _{Recent videos include “No code whatsapp bot” and “Chat with any CSV using langchain”}

• 🧠 RAG Beyond Basics Workshop
  Covers advanced topics like agentic workflows, text-to-SQL, streaming outputs, observability, and PII-safe deployments.
  Delivered at internal events, React Summit 2024, and community meetups.

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🔗 Let's Connect

• 📺 YouTube
• 📝 LinkedIn
• 🐦 Twitter / X
• 📷 Substack (for AI content)

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