About Satish K C

AI & Automation Consultant, Data Scientist, Machine Learning Engineer

Satish K C is an AI and automation consultant based in Houston, Texas. He designs and ships production AI systems: retrieval-augmented generation pipelines, agentic orchestration, voice AI agents and cross-system workflow automation. His practice is deliberately end-to-end, covering problem framing, data pipelines, model and prompt design, evaluation, deployment and ongoing monitoring.

He holds an MS in Data Science with a Machine Learning and AI specialization from the University of the Cumberlands in Kentucky, completed with a 4.0 GPA, and a BE in Mechanical Engineering from Pulchowk Campus, Tribhuvan University in Nepal, awarded with distinction. His peer-reviewed paper, An Empirical Study and Performance Analysis of Multi-Server Queuing Models, appears in the International Journal of Education and Management Engineering.

Professionally he has worked as an AI and automation consultant at Bridgital, as a generative AI intern at Hartsfield & Associates PLLC in Houston where he delivered a legal RAG system reaching 91 percent Recall@5 and a 37 percent reduction in hallucination rate across roughly 80,000 pages of source material, and as a machine learning engineer at Bitpoint in Kathmandu. He is currently an AI engineer working in public education technology.

He is the founder of Kravhal, an Agents-as-a-Service platform that deploys AI agents into small business operations with pay-per-outcome pricing and more than 40 system integrations. He also writes the AI & Automation Chronicle, a weekly research review that translates current AI papers and frameworks into practitioner guidance.

Certifications include AWS Certified AI Practitioner, IBM Dev Day AI Demystified, MLOps Getting Started from Google Cloud, and Transformer Models and BERT Model from Google Cloud. Working stack: Python, TypeScript, SQL, LangChain, LangGraph, CrewAI, AWS Bedrock, the Claude API, FastAPI, PostgreSQL, Supabase, Docker, n8n and Zapier.