I am a highly accomplished software engineer and technology leader with over 20 years of experience driving innovation in the medical and fintech sectors. My expertise spans cloud-native architectures on AWS and advanced AI applications, where I have successfully harnessed large language models (LLMs) to transform user experiences and improve operational efficiency at scale.
In leadership roles, I have managed and mentored teams of 30+ engineers, guiding end-to-end delivery from pre-sales and proof-of-concepts to production-ready solutions, all while ensuring compliance with global industry standards such as HIPAA, PCI DSS, and PSD2.
Currently, I am leading the design and implementation of cutting-edge AI solutions with voice-first interfaces, focusing on achieving ultra-low latency and high accuracy. My work contributes directly to the development of next-generation, human-centric AI systems, bringing complex technologies into everyday human interactions in a seamless and intuitive way.
Review of current architecture and infrastructure. Prepare a modernization plan to resolve business pain points (cost of ownership, cost of change).
Hire me to create a technical implementation plan for your startup or idea, validate technical feasibility, and support technical decisions.
I can help you hire top tech talents by adjusting your hiring strategy and conducting technical interviews.
Here are a few highlights from my commercial work, blending finance, healthcare, and cutting-edge AI.
A personal project to explain and visualize P&L statements for public companies.
Tech: Python, Pandas, Docker, Self-Hosted on Proxmox
View →Sharing code and building tools for the community. Here are some of my projects:
Integrates HashiCorp Vault seamlessly as a configuration source in .NET Core applications. Simplifies secrets management.
Tech: .NET, C#
View on GitHub →A command-line tool for remote management of servers equipped with Megarac BMC (Baseboard Management Controller).
Tech: Go
View on GitHub →Lightweight CLI tool to aggregate specified files in a folder structure into a single context file. Ideal for preparing project context for LLMs, respecting `.gitignore` and token limits.
Tech: Go, tiktoken
View on GitHub →An early AI experiment generating short, themed stories using LLMs. Explored AI content generation and Telegram bot integration.
Tech: .NET, LLM, AWS Serverless, Next.js
Link to be fixed... →Feel free to reach out for collaboration, opportunities, or just a friendly tech chat.