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I build intelligent systems that solve real-world problems — agentic AI workflows, LLM applications, and end-to-end ML pipelines that ship.

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⚡ What I Do

🤖 Agentic AI Systems Multi-agent workflows, reasoning loops, autonomous task execution

⚙️ AI-Powered Process Automation Replacing repetitive office workflows with robust, human-in-the-loop pipelines

🧠 LLM Applications Natural language → SQL, semantic parsing, inference optimization

🎯 LLM Fine-Tuning LoRA / QLoRA, domain adaptation, rigorous model evaluation

🖼️ Computer Vision Image classification, brain-activity-based image reconstruction

🛠️ ML Engineering End-to-end pipelines, Docker, CI/CD, FastAPI

🔬 Current Roles

⚙️ AI Automation Engineer @ Pacific Production Services — automating real-world business operations end-to-end: turning manual, hours-a-day workflows (scheduling data → generated documents) into tested, self-verifying pipelines that save teams 40–50% of their daily workload

🎓 Research Assistant @ USC Center for the Neuroscience of Embodied Cognition (CeNEC) — connecting cognitive science with AI tools and methods

💬 Lead Developer of ChatDB — a natural-language interface to SQL & NoSQL databases powered by LLMs

📌 Featured Projects

Project What it does
🔍 minisearch A search engine from first principles — BM25 queries in 1–13 ms p50 over 20K docs, 7,400 pages/sec crawl at 40 MB peak, and a from-scratch bloom filter cutting dedup memory 99×
⚡ llm-inference-optimizer Distributed LLM serving for LLaMA-3 & Mistral — dynamic batching, KV-cache reuse, tensor parallelism: 2.3× throughput, −38% GPU memory vs FP32
🔧 Silicon Validation Log-Analysis Agent Multi-agent debug assistant (LangGraph + Pinecone RAG) over 10M+ validation logs — cutting debugging time 40%
🕵️ Agentic Anomaly & Root-Cause Intelligence Agent-driven platform that detects anomalies and reasons about their root cause
💬 ChatDB Talk to SQL & NoSQL databases in plain English via LLMs
🧠 Brain-Thought-Visualization Reconstructing visual experience from brain activity

🧰 Tech Stack

Languages & ML

Python PyTorch TensorFlow Hugging Face scikit-learn Pandas

Deployment & Infra

FastAPI Docker AWS Streamlit Git

Data

MySQL PostgreSQL MongoDB

✍️ Writing

I write practical deep-dives on LLMs, agents, and ML engineering → medium.com/@SapnilPatel

⭐ If something here interests you — let's talk.

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