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Hi there, I'm Aiden Mark — a Senior AI/ML Engineer focused on turning data into practical, scalable AI solutions. I design and deploy end-to-end ML workflows, RAG pipelines, and cloud-native architectures using Python to deliver measurable business impact. I enjoy mentoring teams and translating complex data into high-value products that users actually love. I've led architecture across AI systems, mentored engineers, and driven NLP and document-processing projects in production. I thrive on collaboration, experimentation, and making hard AI problems approachable for stakeholders.…Hi there, I'm Aiden Mark — a Senior AI/ML Engineer focused on turning data into practical, scalable AI solutions. I design and deploy end-to-end ML workflows, RAG pipelines, and cloud-native architectures using Python to deliver measurable business impact. I enjoy mentoring teams and translating complex data into high-value products that users actually love. I've led architecture across AI systems, mentored engineers, and driven NLP and document-processing projects in production. I thrive on collaboration, experimentation, and making hard AI problems approachable for stakeholders.

Aiden Mark

Data Scientist, AI Engineer, AI Developer, +3

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Hi there, I'm Aiden Mark — a Senior AI/ML Engineer focused on turning data into practical, scalable AI solutions. I design and deploy end-to-end ML workflows, RAG pipelines, and cloud-native architectures using Python to deliver measurable business impact. I enjoy mentoring teams and translating complex data into high-value products that users actually love. I've led architecture across AI systems, mentored engineers, and driven NLP and document-processing projects in production. I thrive on collaboration, experimentation, and making hard AI problems approachable for stakeholders.…Hi there, I'm Aiden Mark — a Senior AI/ML Engineer focused on turning data into practical, scalable AI solutions. I design and deploy end-to-end ML workflows, RAG pipelines, and cloud-native architectures using Python to deliver measurable business impact. I enjoy mentoring teams and translating complex data into high-value products that users actually love. I've led architecture across AI systems, mentored engineers, and driven NLP and document-processing projects in production. I thrive on collaboration, experimentation, and making hard AI problems approachable for stakeholders.

Available to hire

Hi there, I’m Aiden Mark — a Senior AI/ML Engineer focused on turning data into practical, scalable AI solutions. I design and deploy end-to-end ML workflows, RAG pipelines, and cloud-native architectures using Python to deliver measurable business impact. I enjoy mentoring teams and translating complex data into high-value products that users actually love.

I’ve led architecture across AI systems, mentored engineers, and driven NLP and document-processing projects in production. I thrive on collaboration, experimentation, and making hard AI problems approachable for stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior ML Engineer at Careviso

November 20, 2023 - Present

Designed and deployed AI solutions including RAG-based workflows with LangChain and LangGraph, enabling scalable AI apps. Built NLP-driven document parsing pipelines using LLMs and NLP techniques for prescriptions, medical bills, invoices, and clinical notes, ensuring accurate and compliant data extraction. Led end-to-end ML lifecycle and MLOps architecture, mentoring engineers and aligning delivery with stakeholders. Implemented AI voice agents for personalized health advice and automated surveys, improving patient engagement. Streamlined deployment and orchestration with Docker, Kubernetes, and CI/CD; developed RESTful APIs and data discovery interfaces. Architected scalable cloud-based inference pipelines on AWS/Azure with reduced latency and improved performance. Defined ML lifecycle governance and aligned deliverables with business outcomes.

Data Scientist at Made Market

July 20, 2020 - Present

Led NLP initiatives to automate data ingestion, document parsing, and entity recognition for financial data; built scalable data pipelines for data ingestion, cleaning, and transformation to ensure reproducible research and reliable production deployment. Initiated NLP-driven methods to extract insights from client communications and enhance relationship management, enabling proactive engagement strategies. Drafted and deployed a data-driven recommendation system using collaborative filtering to increase user engagement and investment decision quality. Built voice-enabled AI chatbots and automated surveys to support client interactions; mapped REST APIs to serve outputs to internal tools and client-facing platforms. Migrated to scalable cloud infrastructure and orchestrated production deployment with Docker/Kubernetes, CI/CD, and monitoring.

Software Engineer at Cisco Systems, Inc.

May 20, 2018 - Present

Assisted in data preprocessing and feature engineering; built and optimized models using PyTorch and TensorFlow for classification and regression tasks; supported development of ML solutions across teams; contributed to production ML workflows. Built scalable data pipelines and deployed components using Python; collaborated with cross-functional teams to enable data-driven decision-making.

Software Engineer at Cisco Systems Inc.

May 1, 2018 - Present

Assisted in data preprocessing and feature engineering, including cleaning, encoding, imputation, transformation, scaling, and dimensionality reduction for model readiness; built and optimized models using PyTorch and TensorFlow, achieving robust performance; supported ML model development for classification and regression tasks; implemented NLP models such as RNNs/LSTMs and integrated into production pipelines.