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Nicholas MatthewNM
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Nicholas Matthew

@nicholasmatthew

AI/ML engineer building production NLP, speech, and LLM RAG systems with FastAPI on AWS.

United States
Message

What I'm looking for

I’m aiming to build and deploy NLP, speech, and LLM RAG systems end-to-end—modeling, FastAPI backends, and MLOps—so they run reliably in production on AWS.

I’ve spent the last several years engineering and launching NLP models for text analysis and sentiment classification, plus speech recognition improvements using Whisper and Wav2Vec2. At Paklogics, I also built Retrieval-Augmented Generation (RAG) pipelines to improve search relevance, and I shipped scalable FastAPI backends that handle 1M+ queries per month.

Before that, at Pixolat LLC, I developed and fine-tuned custom LLMs for chatbot applications, created AI automation tools that cut data extraction time, and operationalized multi-modal AI for more efficient data retrieval. I also reduced latency across AI pipelines with vector search and modern NLP tooling.

Alongside my work, I’ve built projects like an AI exam preparation platform with adaptive testing, a GPT-4-powered conversational AI system using Pinecone-based RAG and Flask APIs, and a real-time crime detection model using 3DCNNs. I like taking complex models all the way into systems that teams can actually use.

Experience

Work history, roles, and key accomplishments

OJ

Python Engineer

Ojiiz

Nov 2016 - Dec 2018 (2 years 1 month)

Created scalable Django web applications, ensuring 99% client satisfaction. Streamlined ETL pipelines and tuned database queries for improved efficiency.

Education

Degrees, certifications, and relevant coursework

GF

Government College University, Faisalabad

Bachelor of Science, Computer Science

2012 - 2016

Bachelor's in Computer Science from Government College University, Faisalabad from 2012 to 2016.

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