Internals & AI Systems Engineer | Tracing bugs to the root, fixing them for good.

I don’t just build apps; I work close to the core of systems. Whether it's optimizing core AI libraries, tracing runtime bugs in production, or architecting complex automation engines, I focus on correctness, performance, and clarity.

• Core Optimization: Fixed a core runtime injection bug in LangChain and optimized its performance rates.
• OSS Contributor: Active contributor to OpenHands (67k⭐), solving complex integration issues in production-level code.
• Root Cause Analysis: I prefer understanding system behavior over patching symptoms. I trace bugs to their origin and refactor for stability.

I build end-to-end AI systems that are deployed, scalable, and revenue-ready.

• AI Podcast & Video Clipper Automated clip generation engine. Stack: Gemini 2.5 Flash, FFmpeg, Modal GPU Inference, Inngest (Workflows), Next.js, Prisma.
• Workflow Automation Engine (n8n-like) Custom node-based automation system. Stack: Next.js, Inngest, Gemini & Groq APIs, Convex.
• Enterprise AI Chatbot (RAG) Production support system with sub-second latency. Stack: Groq LLM, Convex, Vapi (Voice), Next.js.

• Languages: TypeScript, JavaScript, Python, Solidity.
• Frontend: React, Next.js (App Router), Tailwind CSS.
• Backend & Infra: Convex, Prisma, Inngest, Google Cloud Storage, Modal (GPU Inference).
• AI Ecosystem: LangChain, LangSmith, OpenAI, Gemini, Groq, RAG Pipelines.

I’m currently open to high-impact freelance projects, OSS collaboration, and production-level bug fixing.

• Upwork: Ryan Akmal
• LinkedIn: Ryan Akmal
• Email: [email protected]

"I build systems that work—and I make them work faster."