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Abdulwadood WaseemAW
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Abdulwadood Waseem

@abdulwadoodwaseem

I build production agentic AI, voice systems, RAG, and automations.

Pakistan
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What I'm looking for

I'm looking to build and lead production AI products where agentic RAG, realtime voice, computer vision, and automation solve real customer problems. I value end-to-end ownership, strong engineering teams, live deployment, and measurable product impact.

At Nerd Flow, I lead 5–10 engineers delivering live AI products including HostBnB.ai for 400+ short-term rental properties, ReceptAI, Preplify, LineSight, and the What Chefs Want sales-scheduling bot.

I build and operate agentic RAG, realtime voice, computer-vision, and workflow-automation systems from MVP through client deployment. My work spans Pipecat, LiveKit, LangGraph, FastAPI, YOLOv8, n8n, Azure Databricks, Docker, GitHub Actions, VPS deployment, and production observability.

I also authored monitorit (awatch), a privacy-first FastAPI monitoring tool published on PyPI with request metrics, Apdex, error fingerprinting, uptime probes, and code-defined alerts.

Previously, I co-founded VECTOR and led AI product delivery across ML, deep learning, cloud, and full-stack engineering, including virtual try-on and body-sizing products. I’ve also co-authored an IEEE paper on Roman Urdu POS tagging using a hybrid CNN-BiLSTM model and a manually verified corpus of 33,000+ sentences.

Experience

Work history, roles, and key accomplishments

AN

Research Assistant

AIMS Lab, FAST NUCES

Jul 2022 - Sep 2022 (2 months)

Researched POS tagging for Roman Urdu, building a manually verified corpus of 33,000+ sentences and designing a hybrid CNN-BiLSTM tagger. Co-authored an IEEE conference paper.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computer and Emerging Sciences (NUCES) logoFN

FAST National University of Computer and Emerging Sciences (NUCES)

Bachelor of Science, Artificial Intelligence

2020 - 2024

Grade: 3.45/4.0

Activities and societies: Dean's List of Honor (Fall 2021, Fall 2022, Spring 2023)

Pursued a Bachelor of Science in Artificial Intelligence, achieving a CGPA of 3.45/4.0 and Dean's List honors. Coursework included machine learning, neural networks, computer vision, and NLP.

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