Summary
Vuk Dukic is a Generative AI Engineer and seasoned software architect with over two decades in technology and 11 years of focused hands-on engineering across enterprise and startup environments. He designs and ships production-grade GenAI solutions—RAG pipelines, intelligent agents, Voice AI, and image-generation apps—leveraging a deep stack from LangChain and LlamaIndex to vector DBs and modern frontend frameworks. His background in Salesforce, enterprise integrations, and cloud-native DevOps lets him bridge ML research with reliable, scalable business systems for clients like Coinbase, Accel, and UCLA. Vuk is comfortable across Python, TypeScript, Apex, and multiple cloud platforms, and he often stitches together commercial and open-source SDKs to accelerate delivery. Notably, he combines legacy enterprise expertise (Salesforce, Oracle, Snowflake) with bleeding-edge agentic frameworks and MCP tooling to automate complex workflows. Based in San Francisco, he brings a pragmatic, product-focused approach to turning experimental AI capabilities into measurable operational improvements.
11 years of coding experience
19 years of employment as a software developer
Management of Information Systems BBA, Management of Information Systems BBA at Midwestern State University
English, French, Bosnian, Croatian, Serbian