const khaled = {
role: "Software Engineer · AI-Native Builder",
focus: [
"LLM Pipelines",
"RAG Systems",
"MCP Tooling",
"Full-Stack Architecture",
],
currentlyAt: "Recurse AI — Shipping AI-powered developer tools",
education:
"B.Sc. CSE · Shahjalal University of Science & Technology (CGPA 3.70/4.00)",
philosophy:
"I don't just build features — I architect systems that make complex workflows feel effortless.",
openTo: [
"Full-time SWE roles",
"Impactful open-source projects",
"AI-first product teams",
],
};Driven by a single conviction: the best software is invisible — users feel the outcome, not the machinery. At Recurse AI, I architect and ship end-to-end AI products, from intelligent data pipelines to voice-native interfaces — always optimizing for real, measurable impact.
Architected a multi-modal data management system that replaces traditional forms with chat, voice, and manual editing modes — powered by MCP tool integrations and real-time WebSockets. Stack:
|
Engineered a full-stack AI assistant for WordPress developers using RAG + Vector DB and MCP integrations — eliminating context-switching between docs, debugger, and codebase. Stack:
|
||||
Developed a production-grade audio processing platform that separates vocals from instrumentals via AI signal processing APIs — featuring queue-based workflow visualization. Stack:
|
A distraction-free local dictionary extension that caches definitions in IndexedDB for instant lookups with API fallback. Stack:
|
⚡ Frontend
🔧 Backend
🗄️ Data & Infrastructure
🤖 AI / ML Tooling
💻 Languages
commit [current] · Software Engineer Intern @ Recurse AI (Feb 2025 – Jul 2025)
├── Architected AI Data Brain — voice + chat + manual editing platform (80% entry time reduction)
├── Engineered WordPress Agent using RAG + Vector DB + MCP for developer productivity
├── Shipped ML-based audio processing product for vocal/instrumental isolation
└── Stack: React, Django REST Framework, PostgreSQL, WebSockets, MCP tooling
commit [past] · AI Model Trainer @ Remotask (Jun 2023 – Dec 2023)
├── Evaluated LLM code outputs across Python and C++ for correctness and efficiency
└── Contributed to training data quality for large-scale code generation models
commit [ongoing] · B.Sc. CSE @ SUST (Expected Apr 2026) · CGPA 3.70 / 4.00
└── Shahjalal University of Science & Technology, Bangladesh
|
🏆 Champion Reactive Accelerator (Sumit Saha) 9 industrial-grade React/Next.js projects |
⚔️ Competitive Programmer Codeforces Pupil CodeChef 3★ Coder |
🎓 SUST — CSE CGPA 3.70 / 4.00 Graduated: Apr 2026 |
+ Architecting agentic AI systems with MCP protocol & tool-connected LLM workflows
+ Deepening expertise in real-time systems — WebSockets, event-driven architecture
+ Scaling backend systems with performance-first design patterns
+ Sharpening algorithmic thinking through competitive programming & system design
