Questions about Kayes
What is Kayes?
Kayes is an AI/LLM application developer who builds production systems including AI assistants, agents, RAG pipelines, and backends wired into real services. The developer creates tools like Agens, a multi-interface AI assistant, and Ambrew, a local-first RAG research assistant. Projects also include Learn Sync, an AI learning and productivity platform, and Alchemix, which rewrites CVs for job applications.
What specific technologies and frameworks does Kayes use for AI and retrieval?
The developer targets users needing backend, AI, and full-stack engineering roles, offering services in Python, TypeScript, Rust, SQL, and Bash. Technical capabilities include FastAPI, Flask, SQLAlchemy, REST, SSE, and WebSockets for backend work. AI and retrieval skills cover LangGraph, LangChain, Ollama, Hugging Face, and PyTorch, while data infrastructure uses PostgreSQL, Qdrant, Pinecone, Redis, and SQLite.
What are the specific products and features Kayes has built?
Agens is a notable product that runs one agent core behind a web app, a terminal UI, a CLI, and a Telegram bot. Ambrew provides local-first RAG functionality that highlights the exact region of a source PDF. Learn Sync transforms study material into chat, mind maps, quizzes, and a schedule, while Alchemix reads LinkedIn job posts to rewrite CVs and render PDFs.
Where is Kayes located and what current roles are held?
The developer is based in Narayanganj, near Dhaka, Bangladesh, and is open to backend, AI, and full-stack roles. The current role is a Software Engineer Intern at Gigalogy in Dhaka, focusing on backend work for an AI platform using Flask and Vue. The developer is also an undergraduate researcher at Green University of Bangladesh.
What is the team structure and recent competition history?
Kayes has a history of leading teams and competing in hackathons, including HackTheAI in 2025. The team placed 1st among Green University teams and 13th overall in the preliminary round, with the final round placing in the top 50 of 250 teams. The developer is graduating with a B.Sc. in Computer Science and Engineering from Green University of Bangladesh in September 2026.
What infrastructure and frontend tools are part of the development stack?
The technical stack includes infrastructure tools like Docker, GitHub Actions, Azure, DigitalOcean, and Linux. Frontend development utilizes Next.js, React, Svelte, Vue, and Tailwind CSS. The developer also has experience with data structures, databases, operating systems, networks, and software engineering as part of their B.Sc. curriculum.
What specific research tasks have been performed?
The developer has experience tagging research papers across a taxonomy of academic sub-domains from title and abstract, then rolling tags into per-author research profiles. This involves fine-tuning transformer encoders on a long-tailed label set as part of their undergraduate research.
How can visitors contact Kayes or access their profile?
The developer is open to new roles and states that email is the fastest way to reach them. Contact can be made via the provided email address, and a CV is available for download in PDF format. The developer also encourages visitors to read their CV, GitHub, and LinkedIn profiles.
What is the core focus of the AI engineering work?
The developer's work includes building systems around language models, specifically agents that use tools and retrieval that cites its sources. The backends are designed to keep both agents and retrieval systems running efficiently in production environments.
What programming languages are central to the development process?
The developer's skills include using Bash for scripting, Python for backend logic, and TypeScript for frontend development. SQL and Rust are also part of the technical toolkit, alongside specific backend frameworks like FastAPI and Flask.
What advanced AI features are implemented in the projects?
The developer has experience with vector search and tool calling, which are critical for AI applications. Streaming APIs and prompt engineering are also key components of the technical stack used in building these systems.
What educational tools have been developed?
The developer has created an AI learning and productivity platform called Learn Sync, which turns study material into interactive formats like chat, mind maps, quizzes, and schedules. This tool helps users manage their learning effectively.
How does the local-first RAG system work?
The developer has experience with local-first RAG systems, specifically Ambrew, which highlights the exact region of a source PDF. This feature ensures accurate citation and retrieval of information from documents.
What tools are available for job seekers?
The developer has built a CV rewriting tool called Alchemix, which reads LinkedIn job posts and rewrites CVs for them before rendering the PDF. This tool helps job seekers tailor their applications to specific roles.
How does the multi-interface AI assistant function?
The developer has experience with multi-interface AI assistants, specifically Agens, which runs behind a web app, a terminal UI, a CLI, and a Telegram bot. This allows users to interact with the AI through multiple channels.
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About Kayes
Kayes, also referred to as Kayes Fardows, is an AI/LLM application developer who builds production LLM systems. The work described includes AI assistants, agents, RAG pipelines, and applications wired into real backends, with project examples spanning a multi-interface AI assistant called Agens, a local-first RAG research assistant called Ambrew, and an AI learning and productivity platform called Learn Sync. The listed technical stack covers LLM-related work such as RAG pipelines, agent orchestration, vector search, tool calling, streaming APIs, prompt engineering, and evaluation harnesses, alongside general development tools like FastAPI, Python, TypeScript, React, and Next.js. The site also provides links to a CV, GitHub, LinkedIn, and email contact, as well as an embedded assistant named Kami that can answer questions about Kayes's projects and availability.
- Website
- kayees.dev
- [email protected]
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