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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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ak-abdullah/README.md

Typing SVG

name: Abdullah Khalidrole: AI Engineerlocation: Pakistanbuilding:
- Android email outreach app, scrapes sites, cuts manual effort by 90%
- FastAPI backend with Redis job queues, retry logic, idempotency
- Apple IAP backend managing subscriptions via JWT-secured webhooks
- RAG pipeline over 1000+ pages using FAISS, answers in under 2sstack: [Python, FastAPI, LangChain, FAISS, OpenAI APIs, GCP, Redis, Docker]open_to: remote and international opportunitiescontact: abdullahkh.cs@gmail.com

I am an AI Engineer based in Pakistan. I work on LLM pipelines and backend systems that run in production. My focus is on building things that hold up under real load, not just in a demo or a notebook.

Right now I'm building AI-powered features on a production FastAPI infrastructure deployed on GCP.

What I've Shipped

Selfimoji
Production app for generating images, videos, memes, avatar try-ons, and personalized video ads. Handles custom backgrounds, presets, and multiple generation modes. I built the entire backend from scratch and contributed to Swift iOS integration.

Email Sequencing System
Production outreach platform built for Bobos.ai. Import contacts, and the system writes personalized emails for each person, sends them on a schedule, and notifies you when someone replies. Owned the backend, job queue, and React Native app.

Projects

Grounded
RAG pipeline querying 1000+ pages of documents in under 2 seconds. FAISS-based retrieval with a React frontend.

PhysioGo
Real-time physiotherapy app using MediaPipe pose estimation. Tracks reps, detects form errors, reports to physiotherapist. Flutter and Python, deployed on Docker.

What I'm working on now

Agentic workflows and multi-step reasoning pipelines. Working on making RAG more reliable under real load and going deeper into distributed system design.

Pinned Loading

  1. GroundedGroundedPublic

    RAG pipeline over 1000+ pages using FAISS. Upload documents, ask questions, get answers in under 2 seconds. Built with FastAPI and React.

    JavaScript

  2. FYP-DemoFYP-DemoPublic

    Real-time physiotherapy app using MediaPipe pose estimation. Tracks reps, detects form errors, and reports progress to the physiotherapist. Flutter and Python, deployed on Docker.

  3. Natural-Language-ProcessingNatural-Language-ProcessingPublic

    Urdu sarcasm detection, English-Urdu machine translation with RNN and LSTM, and Phi-3 fine-tuning. Full NLP pipeline from preprocessing to classification.

    Jupyter Notebook

  4. Artificial-IntelligenceArtificial-IntelligencePublic

    K-Means clustering to group 2500 students by domain and batch, with automated PDF seating plans and faculty assignments for university exams.

    Python

  5. Digital-Image-ProcessingDigital-Image-ProcessingPublic

    Binary image classification for pedestrian gender detection using HOG, LBP, GLCM and VGG19 deep features. PCA dimensionality reduction with Linear SVM evaluated via 10-fold cross-validation.

    Jupyter Notebook

  6. SentinelSentinelPublic

    Autonomous sales agent that monitors your HubSpot pipeline, researches stalled deals using live web data, and sends personalized follow-ups - without a human touching it.

    Python 1