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Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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mukeremshifa/README.md

The signature of Mukerem Shifa beside a terminal reading: whoami, Mukerem Shifa, AI Engineer and Full-stack Developer. cat now.txt: Building ConverseKit and SynapseDeck. Learning how to evaluate retrieval instead of eyeballing it. Powered by coffee. Ras al-Khaimah, UAE, building AI products end to end.

About: I like the problems that hide behind the demo. Anyone can call an LLM API. The work is everything around it: deciding which passage is worth retrieving, keeping one client's documents out of another client's answers, and holding a conversation together when the stream drops halfway through a sentence. I learn by shipping whole systems rather than tutorials. The three projects below are deployed, tested and documented. Open to engineering roles and selected contract work.

Selected work: three projects, two live

ConverseKit, live. Multi-tenant AI chat that installs with one script tag. Answers from each client's own documents, eleven LLM vendors behind one interface, tenants isolated by row-level security rather than by application code. TypeScript, Cloudflare Workers, Supabase, pgvector, Hono.

SynapseDeck, live. Notes in, flashcards out, reviewed on a real FSRS scheduler. Cards stream in as the model writes them and pass a review gate before entering a deck. Every figure on the progress page is counted from an append-only log. React 19, TypeScript, Supabase, Edge Functions, ts-fsrs.

Survey Quest, prototype. A React prototype that turns a questionnaire into a light game loop: XP, levels, badges and a confetti finish. Progress is awarded for participation only, so the survey data stays honest. React, TypeScript, Vite.

Stack. Languages: TypeScript, Python, JavaScript, SQL, Java. Frontend: React 19, Vite, Tailwind, TanStack Query, Zod. Backend: Node, Hono, Django REST, Cloudflare Workers. Data: PostgreSQL, Supabase, pgvector, row-level security. AI: LangChain, OpenAI, Anthropic, Gemini, Groq, RAG. Tooling: Vitest, GitHub Actions, Git, Linux, Docker.

Languages across public repositories, 1,661,208 bytes total: TypeScript 57.9 percent, JavaScript 26.5 percent, Python 4.9 percent, PLpgSQL 4.1 percent, HTML 3.4 percent, CSS 1.2 percent, Java 1.1 percent, SCSS 0.9 percent. Trajectory by repository creation year: 2024 all Java, 2025 mostly TypeScript, 2026 TypeScript with Python appearing.

Contact

Email hello@mukeremshifa.com LinkedIn, mukeremshifa mukeremshifa.com GitHub, mukeremshifa

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  1. conversekit conversekit Public

    Drop-in AI chat widget for any website. Multi-tenant, eleven AI vendors behind one interface, RAG over your own docs. Cloudflare Workers + Supabase.

    TypeScript 2

  2. ibm-capstone-rag-bot ibm-capstone-rag-bot Public

    A Document-Based RAG QA Bot utilizing LangChain, Google Gemini, and Chroma DB

    Python 1

  3. synapse-deck synapse-deck Public

    Paste your notes, get flashcards, and review them on a real FSRS spaced-repetition scheduler. Cards stream in as the model writes them and pass a review gate before entering a deck. React 19 + Type…

    TypeScript 1

  4. gamified-survey-project gamified-survey-project Public

    Survey Quest, a React prototype that turns a questionnaire into a game with XP, levels, badges and a confetti finish. XP is awarded for participation only, never for which option you pick, so the g…

    HTML 1