Current Focus
What I am building, learning, and getting better at.
What I'm Currently Building
This repository is a founder-outreach AI knowledge base designed as a single source of truth for an AI outreach agent that maps my engineering experience, projects, and skills directly to startup problems.
The core idea is that founders do not buy skills; they buy solutions to bottlenecks.
The system analyzes a startup, infers likely engineering challenges, matches those challenges to evidence from my past work, and generates highly personalized founder outreach.
The repository contains profile, experience, skills, interests, achievements, project deep-dives, startup analysis frameworks, outreach guidelines, and prompts for startup analysis, problem matching, and DM writing.
The workflow is straightforward: analyze the startup, infer the hardest technical bottlenecks, match those bottlenecks to project evidence, and generate a concise outreach message.
I think of it as a blend of applied AI, knowledge design, structured prompting, and engineering positioning. It treats portfolio content as reusable structured intelligence instead of static resume text and reflects how I like to productize technical knowledge.
What I'm Learning
Building highly scalable automated workflows that can move complex work off the request path without losing clarity or operational control.
AI and LLM integrations with an emphasis on applied AI systems rather than isolated model demos.
Backend architecture and system design, especially where product behavior depends on strong infrastructure decisions.
Developer tools and platform engineering, including runtime isolation, orchestration, and browser-based tooling.
Distributed systems and execution isolation, both as technical interests and as practical constraints in real products.
Better ways to connect deep technical work to real business bottlenecks so engineering becomes easier to position, explain, and sell.
Tech Stack
Languages
I use these languages across product engineering, backend infrastructure, and systems work.
TypeScript · JavaScript · Go · Python
Frontend
I use the frontend to expose complex backend behavior cleanly, especially in real-time and developer-facing products.
React · Next.js · Vite · Tailwind CSS · Canvas API · EJS · HTML
Backend
My strongest work centers on APIs, orchestration, backend workflows, and real-time infrastructure.
Node.js · Express.js · FastAPI · WebSocket systems · Socket.io · REST API design
Databases and Storage
Most of my systems rely on relational modeling, coordination layers, and storage patterns built for correctness and speed.
PostgreSQL · Redis · Prisma · S3-backed content-addressed storage · AWS S3
Async, Messaging, and Real-Time
A recurring theme in my projects is moving heavy work off the request path and keeping progress visible in real time.
BullMQ · Celery · Redis Pub/Sub · Apache Kafka · WebSockets · PTY streaming · Event-driven backend patterns
Infrastructure, DevOps, and Platform
I am especially interested in the layer where runtime safety, orchestration, and product behavior meet.
Docker · Kubernetes · AWS EC2 · Runtime isolation · Workspace orchestration · Sandboxed execution environments
Systems and CS Foundations
I care about the fundamentals behind reliable systems, not just the frameworks used to expose them.
Distributed systems · Raft consensus · Fault tolerance · State machines · Transactional integrity · RBAC · Performance optimization · Indexing and schema design