Kiarash Adl
AI Systems Architect | Full Stack Engineer | MIT EECS '14
About
Building end-to-end AI platforms, agentic systems, and scalable cloud architectures. 10+ years of experience turning complex AI into production reality.
Expertise
- AI/ML: LLM Orchestration, Computer Vision, NLP, RAG Systems, Agentic Workflows
- Backend: Python, Node.js, FastAPI, PostgreSQL, Redis, Kafka
- Frontend: React, TypeScript, Next.js, Tailwind CSS
- Cloud: AWS, Azure, GCP, Docker
- Leadership: Technical Architecture, Team Building, Agile/Scrum
Featured Projects
- Financial Intelligence Meta-Layer (FIML)
- AI-native MCP server for financial data aggregation with intelligent multi-provider orchestration. 32K+ lines of code, 1,403 automated tests, 100% pass rate.
- Aligna
- Conversational AI recruiter with voice interviews via LiveKit, Azure OpenAI transcription, and automated candidate-job matching. 11+ Docker services. Visit Aligna →
Contact
- Email: kiarasha@alum.mit.edu
- Phone: +1-857-928-1608
- LinkedIn: linkedin.com/in/kiarashadl
- GitHub: github.com/kiarashplusplus
Education
Massachusetts Institute of Technology (MIT)
B.S. Electrical Engineering & Computer Science, Class of 2014
Research at MIT CSAIL | Published in ACM L@S and IEEE ICASSP
AI Agent Integration
This site exposes an MCP/LLMFeed discovery manifest for AI agents:
Discovery URL: https://25x.codes/.well-known/mcp.llmfeed.json