Curt S.

Over my decade-long journey from software engineer to CTO, I've found a deep passion in combining software best practices with the challenges of building companies, particularly with the help of AI and automation. Last three years I focused on helping startups leverage AI by building and incorporating AI solutions. Complex RAGs(systems to give your LLM private data), agents and fine-tuning LLMs. Based on all of those projects, I came up with an automation platform that I keep updating. This platform includes chatbot, voice analytics, environment for prompt engineering, evaluation tools, tools to work with retrieval(RAGs) and more. Year 2024, I’m focusing on projects that involve sales automation. My previous experience working with Sales teams in trenches: managing CRM, building sales pipelines, automating lead life cycle, going on hundreds of discovery, demo and renewal calls. I use my domain experience and LLM skills to automate sales operations through: - Voice agents for inbound and outbound calls (with conversational analytics) - Lead gen bots (Access to internal data, integrating with CRMs, setting up meetings, etc) - Automated email conversations Competitive Advantage: - Existing, in-house automation platform. I leverage existing components so I never spend time on building things from scratch - instead, focusing on specific project challenges - Product-building skills: working in startups for more than 10 years I’m different technical roles - Worked closely with sales team: CRMs, Sales funnels, lead gens, deal pipelines, lead lifecycle, cold calls, demo calls, renewals - Cybersecurity, compliance and privacy: worked for 5 years in cybersecurity startup Tech Skills: - Python, JS/TS, Golang, Bash - LLMs: OpenAI, Llama 3, Anthropic, Google Gemini, Mistral - Voice agents(TTS, STT, VAD) - OpenAI Realtime API, Deepgram, Elevenlabs, [login to view URL], [login to view URL], [login to view URL], [login to view URL] - Hubspot, GoHighLevel, Zoho, etc - Fine Tuning - RAGs, Agents (Langchain, LlamaIndex) - Vector Databases(Pinecone, Weaviate, PgVector), Semantic Search, Embeddings - Ingestion: PDF(OCR)/audio/video to text, SQL databases, spreadsheets, web pages - Evaluating: AI system end-to-end and component-based evaluation - DevOps (Kubernetes, Docker, Terraform, Google Cloud, CI/CD, Monitoring)