I am a returning student based in Seattle, WA, currently investigating the intersection of biological intelligence and artificial systems. My background is rooted in low-level software development, industrial automation, and cloud infrastructure, now evolving toward computational neuroscience and AGI.
- BCI: We are on the cusp of being able to create deep in-brain prosthesis for augmentation or restoration of cognitive functions. Those solutions are made more difficult by the need for minimally invasive delivery and a mechanism that is not as surgically rigorous as manually connecting to dendrites or axons.
- Machine Intelligence: Moving beyond data processing toward true system understanding via ANNs. Particularly interested in model-based RL as well as other continuous learning pathways.
- Computational Neuroscience: Finding patterns that exist in the hardware of our CNS to enable the complex psychological results we can observe; then applying those patterns to better understand the computations foundations of the mind.
- Consciousness: Really interested in pursuing the "hard problem" of neuroscience from the perspective of identifying the informational patterns and systems that enable consciousness so that it can be replicated or preserved.
- Neuromorphic Hardware: If indeed the computational capacity of ANNs as function approximators is reflective of the natural patterns of mind, we will need to transition away from von-Neumann architecture in computation, even if we continue to use CMOS. Memristor crossbars and other neurologically inspired architectures will likely be essential in realizing this future computation.
- Amazon Web Services (AWS)
- Developer Support Engineering: Worked with internal and external stakeholders to leverage cloud-native architectures and Infrastructure as Code (CDK) to build scalable, resilient systems.
- Electroimpact Inc.
- Metrological Systems Developer: Developed metrology control systems for the Boeing 777x Wing Assembly.
- Full-Stack Systems: Designed web-based purchasing/payroll systems for international subsidiaries using .NET Core and Angular.
- Algorithm Development: Coauthored the Weighted Optimal Translation algorithm (an adaptation of the Kabsch algorithm) for high-precision measurement analysis.
- Helpful Machines LLC | Co-founder & Systems Designer
- Hardware Innovation: Designed a modern graphing calculator from bare metal, including PCB design and lightweight OS development.
- Public Speaking: Presented hardware innovation strategies at the Geekwire Summit to 1,000+ industry leaders.
- CPU Design: Designed an ARM/SAP-II inspired architecture with a custom digital logic simulator and 32+ instruction set.
- Embedded Systems: Contributed to "Tracer" and “OSM”, a C++ based flow-art prop using Atmel AVR architecture with custom EEPROM-stored LED patterns.
- Home-Lab (Ongoing): Working on a redundant/scalable home network that I can run a full cloud suite from Raspberry Pi 5s. The goal is a system that can be redeployed from a
git clone+ execution of a script in a properly configured environment. Currently more trouble than it is worth. - Maxx Headroom (Ongoing): Working on a cerebellum-inspired control system for integrating STS responses from language model. Experimenting with Transformers as well as lighter-weight reasoning options like HRM or TRM and training/generating in FLAME space using the data from FACS related research projects.
- Languages: C#, C++, Java, Rust, Python, Javascript/TypeScript, SQL (Postgres/sqlite)
- Systems & Infrastructure: AWS (CDK + SDKs), Terraform, .NET Core/Xamarin, RTOS/embedded (basics only), Hardware Networking
- Engineering & CAD: Autodesk Certified User (Inventor/AutoCAD), PCB/Circuit Design (Diptrace), Machine Shop (basics)
- LinkedIn: linkedin.com/in/nlitov
- GitHub: @NGL321
“Seeking the patterns where the mind touches the world”