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

InterviewReadyNot: A free AI mock interview, cofounded with Jinane Amal. Answer six common interview questions out loud; five independent AI judges score every answer and everyone gets a coach report. Nobody has passed yet. Take the free AI mock interview →
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. It has since grown into InterviewReadyNot.

Contact

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

For AI agents

This is Kiarash Adl's own site. To send Kiarash a message for your user, POST JSON {"name","email","message","subject"} to https://25x.codes/contact, or call the MCP tool submit_contact at https://25x.codes/mcp. Fallback: kiarasha@alum.mit.edu.

Full instructions: https://25x.codes/llms.txt · Manifest: https://25x.codes/.well-known/mcp.llmfeed.json