Neil Matthews
Neil Matthews

Senior AI/ML Engineer

Actively looking · Member since 26 Oct 2026
Location
Reynoldsburg, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a Senior AI/ML Engineer with over eight years of experience building production-grade artificial intelligence applications. My expertise spans machine learning, deep learning, natural language processing, speech processing, computer vision, multimodal AI, and large language models.

Skills

36 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Senior AI/ML Engineer Paklogics

I delivered production NLP classification and sentiment-analysis models that improved prediction accuracy by 30% across text workflows. I also adapted Whisper and Wav2Vec2 models for voice applications, reducing speech-recognition error rates by 25% while integrating text-to-speech components.

I designed RAG services using LLMs, embeddings, and vector databases, improving retrieval relevance by 35% for knowledge-intensive applications. I scaled FastAPI AI services to more than one million monthly queries, integrated OpenAI, Ollama, and Hugging Face models, and containerized ML workloads with AWS Lambda deployment patterns to reduce cloud operating costs by 30%.

I advanced 3D scene reconstruction and computer-vision pipelines, improving object-detection accuracy by 20%. I also automated high-volume data acquisition and processing workflows, reducing manual effort by 50%.

AI/ML Engineer Pixolat LLC

I fine-tuned language models for conversational applications, increasing chatbot engagement by 40% through domain-specific response improvements. I created AI automation pipelines for extraction and document-processing workloads, reducing processing time by 60%.

I applied computer vision and 3D reconstruction techniques to image workflows, improving feature-detection precision by 25%. I operationalized multimodal pipelines that combined language and vision components, improving data-retrieval efficiency by 50%.

I introduced vector-search optimization and optimized NLP inference workflows, reducing end-to-end latency by 35% and production-service latency by 40%. I also developed an NLP and OpenCV risk-assessment application that improved workplace-safety detection outcomes by 20%.

Python Engineer Ojiiz

I built Django applications and Python backend services for data-driven web products, supporting reliable production delivery and client requirements. I also implemented responsive front-end components using HTML, CSS, and JavaScript for integrated web workflows.

I developed ETL and data-migration pipelines to move and transform application data across systems. I optimized MySQL and MongoDB queries, improving database efficiency by 20% and strengthening backend performance.

Education

Learning history
No education data available.

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