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Abdullah Malik

Abdullah Malik

BS Data Science (IUB)

Agentic AI Engineer & Autonomous Systems Architect

Executive Profile

High-growth autonomous systems engineer and undergraduate Data Science scholar at Islamia University of Bahawalpur (IUB). Started coding at age 14 and specialized in Agentic AI architectures, compiled edge runtimes in Go (<10MB RAM footprint), and verifiable Model Context Protocol (MCP) tooling. Creator of MalikClaw (recipient of the GitHub Starstruck Bronze Achievement with 16+ community stars, listed on MCP Market) and holder of the audited A2AS Behavior Certificate for AI Agent Security & Governance.

Education & Academic Specializations

Islamia University of Bahawalpur (IUB)

Bachelor of Science in Data Science (BS Data Science)

Core Focus: Statistical Analysis, Linear Algebra, Machine Learning Models, Data Structures & Algorithms, Big Data Analytics. Bridging mathematical foundations with autonomous AI agents.

2025 – Present • Pakistan

Panaversity

Specialist Certification in Agentic AI & Swarm Architectures

Mastered OpenAI Agents SDK, LangChain, tool calling schemas, autonomous memory systems (MEM0), and N8N workflow automations.

2024

Presidential Initiative for Artificial Intelligence & Computing (PIAIC)

Artificial Intelligence & Cloud-Native Computing

Mastered TypeScript, async Python, Docker containerization, PostgreSQL, and full-stack cloud application delivery.

2023 – 2024

Official Honors & GitHub Achievements

GitHub Starstruck (Bronze Tier)

Awarded for MalikClaw achieving 16+ stars from the international developer community on GitHub.

GitHub Pull Shark

Awarded for high-velocity merged pull requests across open-source initiatives in Hackathon 2.

GitHub Pair Extraordinaire

Awarded for advanced AI pair programming and co-authored repository commits with Claude.

A2AS Behavior Certificate & MCP Market

Audited agent security compliance by A2AS Registry; MalikClaw cataloged on the official MCP Market.

Flagship Engineering Systems

MalikClaw — Edge-Native Agentic Assistant & Gateway

16+ Stars • Go

Ultra-lightweight edge agent compiled in Go operating on <10MB RAM with <1s boot time on a $10 Raspberry Pi Zero and Android. Features native RTL Urdu NLP, JSON-RPC 2.0 Model Context Protocol (MCP) dispatch, and sandboxed Android hardware automation over ADB.

Digital FTE — Abdullah Junior

Python • FastAPI • MCP

Autonomous 24/7 Digital Employee operating on a Dual-Agent Architecture (Cloud Sentry monitoring + Local Executive execution). Enforces strict credential isolation with HMAC verification, managing communications across Gmail, WhatsApp, LinkedIn, and Odoo ERP workflows.

Customer Success Digital FTE

FastAPI • pgvector • Kafka

Multi-channel support AI handling inquiries 24/7. Integrates 1536-dimensional vector similarity retrieval in PostgreSQL via pgvector and an asynchronous Apache Kafka event bus with automatic dead-letter queue recovery.

Technical Skills Matrix

Languages & Runtimes:

Go (Golang), Python (AsyncIO), TypeScript, JavaScript, SQL, R, Bash

AI, Data Science & Vector Stores:

Model Context Protocol (MCP), OpenAI Agents SDK, pgvector, Pandas, NumPy, Scikit-learn, ChromaDB, Pinecone

Backend & Cloud Infrastructure:

FastAPI, Next.js 15, PostgreSQL, Apache Kafka, Docker, Kubernetes, Vercel, Fly.io

Governance & Tooling:

A2AS Behavior Limits, Android ADB Automation, Langfuse Telemetry, Git/GitHub Actions