Nicholas Matthew
@nicholasmatthew
AI/ML engineer building production NLP, speech, and LLM RAG systems with FastAPI on AWS.
What I'm looking for
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
Senior AI/ML Engineer
Paklogics
Apr 2022 - Present (4 years 4 months)
Engineered and launched NLP models for text analysis and sentiment classification, improving accuracy by 30%. Architected RAG pipelines and scalable AI-driven backend solutions using FastAPI and vector databases.
AI/ML Engineer
Pixolat LLC
Feb 2019 - Feb 2022 (3 years)
Developed and fine-tuned custom LLMs for chatbot applications, increasing user engagement by 40%. Integrated vision models for 3D image reconstruction and operationalized multi-modal AI solutions.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Job categories
Skills
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