Abdullah Wasim

Lead AI Engineer

I build AI systems that survive real work.

Production-minded LLM systems, intelligent automation, and machine learning products—designed with clarity and shipped with care.

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Field Notes

Ideas, experiments, and lessons from building with AI.

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Projects

iPrepare: Building an AI interview coach

12 minAgents

A year building agentic AI systems

15 minProjects

Building EduSyncc at my first international hackathon

10 minAI

My experience with DeepSeek

8 minProjects

Inside Blogsy’s multi-agent workflow

10 min

Selected Work

Products and systems built around real operational constraints.

iPrepare

An adaptive AI interview coach built with RAG, resume analysis, and contextual practice.

RAGLangChainReactMongoDB

ChatWithSQL

A natural-language analysis layer that makes structured business data easier to interrogate.

GPT-4LangChainPostgreSQL

Geospatial monitoring

A satellite-imagery pipeline for monitoring vegetation health through NDVI and LAI signals.

PythonArcGISSentinel-2

Blogsy

A coordinated multi-agent system for researching, drafting, and refining long-form content.

CrewAIGroqStreamlit

Pong

A polished installable Pong experience with adaptive AI, local play, and invite-link matches.

CanvasWebRTCPWA

Experience

Applied AI across healthcare, enterprise software, and data products.

2024 — Now

Generative AI Engineer

Nao Medical
New York, USA · Remote

Building applied AI systems for high-stakes operational workflows.

  • Architected an automated mail classification system using LLM agents.
  • Designed an intelligent file management system with 96.9% measured accuracy.
  • Engineered sales workflow automation with CrewAI.

2022 — 2024

Generative AI Engineer

CMB Solutions Inc.
Indianapolis, USA · Hybrid part-time

Designed LLM-powered enterprise tools and automation systems.

  • Architected a natural-language ChatWithSQL system with LangChain and GPT-4.
  • Implemented a RAG product assistant for enterprise knowledge.
  • Led development of an automated publishing workflow.

2021 — 2024

Data Scientist

RnZ Technologies
Karachi, Pakistan · Remote

Shipped computer vision, geospatial, and multilingual AI products.

  • Built geospatial monitoring workflows with Python, ArcGIS, and Sentinel-2 imagery.
  • Developed a multilingual meeting-minutes generator with 95% measured accuracy.
  • Turned exploratory models into repeatable client-facing systems.

Now

Small updates from the workbench and everywhere else.

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Karachi

Rebuilding this corner of the internet into a place for shipped work, field notes, and small experiments.

Current rabbit hole: making agentic workflows observable enough that failures become debuggable, not mysterious.

Have a difficult AI problem?

Tell me what you are building, what is already working, and what needs to become reliable.

abdullahwasimm2112@gmail.com

Karachi, Pakistan · Working globally