Suhas Thammysetty • Full-Stack & GenAI Systems Engineer
Being creative iswhat makes codehuman.
Building GenAI systems, full-stack web platforms, and high-performance software architectures.
Works
- Architecture: 2 input → 1 hidden layer (configurable) → 1 output
- Activation: Sigmoid (hidden + output)
- No bias terms
- Weight initialization: Random
- Training: Online / stochastic gradient descent
- Loss: Absolute error (averaged, logged every 100 epochs)
- Training length: 10,000 epochs
- Learning rate: 0.1
- Logging: CSV output + Python loss plot
- Purpose: clarity over production features
Core Disciplines
Engineering domains bridging GenAI systems, full-stack applications, and low-level software.
GenAI & AI Systems
LLM integration pipelines, autonomous AI agents, prompt engineering, and intelligent system workflows.
Full-Stack Web Architecture
Next.js SSR/SSG, React, Tailwind CSS, PostgreSQL persistence, and type-safe REST APIs.
Systems & Security Infrastructure
Low-level C++ neural network matrix algorithms, WebCrypto AES-256-GCM security, and WebSockets state sync.
GenAI & Systems Architecture Notes
Technical writeups analyzing AI agent workflows, real-time networking protocols, C++ matrix calculations, and WebCrypto primitives.
Get In Touch
Available for full-stack & GenAI software engineering roles, projects, or discussions.