AI/ML Architect and Data Scientist

Dylan Devera

608-***-**** ****************@*****.*** Nevada

PROFESSIONAL SUMMARY

Innovative AI/ML Architect and Data Scientist with a focus on predictive modeling, Natural Language Processing, and large language models. Expert in building resilient, scalable AI pipelines leveraging cloud-native architectures, with proven success in deploying high-impact, compliance-driven AI solutions in regulated environments. Skilled in translating domain expertise into high-performance AI products, integrating cutting-edge NLP, LLMs, and recommendation systems to generate revenue and deliver strategic insights. Adept at leading crossfunctional teams, mentoring, and accelerating AI-driven product development from concept to production. EDUCATION

Argosy University September 2009 - July 2013

Computer Science Bachelor's Degree

EXPERIENCE

AI & Data Science Lead / MLOps Architect

Chiral October 2025 - Present New York, NY

Developed and deployed large language models (LLMs) and NLP pipelines for text extraction, summarization, and chatbot services, achieving 99.8% uptime while processing over 50,000 documents daily in fault-tolerant, scalable environments. Built end-to-end AI services incorporating transformer-based architectures (e.g., LLaMA, GPT, BERT), leveraging Python, FastAPI, and SQLAlchemy to support exponential growth from 0 to 10 million requests/month within 6 months. Automated model training, fine-tuning, deployment, and monitoring workflows using MLflow, Kubeflow, and Docker, ensuring high availability and compliance in production.

Collaborated with product teams to prototype AI agents and conversational chatbots using LangChain, n8n, and LlamaIndex, delivering MVPs 4 weeks ahead of schedule through rapid iteration. Optimized NLP pipelines with GPU acceleration, distributed training (PyTorch, TensorFlow), and asynchronous data processing, reducing cycle times by 40%.

Led cross-functional teams in designing scalable AI architectures, resolving ambiguous requirements, and minimizing blockers from ~9 days to ~3 days.

Senior AI Engineer / ML Infrastructure Architect

GE Healthcare February 2019 - August 2025 Chicago, IL Designed and implemented cloud-native ML pipelines for healthcare imaging and clinical NLP systems, utilizing Python, FastAPI, and scalable graph-based recommendation engines.

Led the development of recommendation algorithms and scalable GKE-based infrastructure, improving throughput by 60%, and enabling real-time inference for clinical decision support. Built automated ML workflows with Apache Airflow, orchestrating data ingestion, model training, and deployment, reducing deployment cycle times by 70%.

Implemented MLOps best practices with Docker, Kubernetes, CI/CD, and monitoring tools, ensuring compliance with healthcare regulations (HIPAA, FDA).

Developed and maintained high-reliability, compliant AI systems with message queues (Kafka, RabbitMQ), logging, and monitoring integrations.

AI & Data Scientist / NLP Developer

Blacc Spot Media February 2015 - January 2019 Atlanta, GE Engineered real-time NLP microservices for client engagement, leveraging transformer models and FastAPI, supporting sub-100ms latency and high-throughput inference.

Designed distributed architectures to handle 5x traffic spikes, employing asynchronous processing, load balancing, and GPU acceleration for transformer inference.

Deployed and managed scalable AI microservices using Docker, Kubernetes, and cloud platforms (GCP, AWS), maintaining 99.9% uptime and rapid feature rollout.

Guided teams on best practices in NLP model development, fine-tuning transformer models (BERT, GPT), and optimizing inference pipelines, reducing latency by 60%.

Partnered with clients to develop tailored AI solutions for NLP tasks, improving accuracy, reducing errors by 50%, and delivering projects ahead of schedule.

Healthcare Data & AI Developer

University Hospitals September 2013 - February 2015 Shaker Heights, OH Developed scalable AI services for healthcare data processing, integrating NLP and predictive models to support clinical decision-making and real-time data flows.

Modernized legacy systems into cloud-native microservices with Python-based AI pipelines, ensuring compliance and high availability

(99.95%).

Designed data schemas and pipelines with SQL, PostgreSQL, and Redis, enabling efficient retrieval for NLP and predictive analytics in regulated healthcare environments.

Collaborated with clinical teams to translate healthcare workflows into scalable, AI-powered microservices, delivering solutions 2 months ahead of schedule.

Implemented automated testing, continuous integration, and deployment pipelines to maintain compliance and minimize downtime. SKILLS

Artificial Intelligence & Machine Learning: Natural Language Processing (NLP), Large Language Models (LLMs)

(GPT/BERT/LLaMA/LlamaIndex), Transformer Architectures, Predictive Modeling & Statistical Analysis, Time Series Forecasting, Anomaly Detection, Recommendation Systems, Graph-based Algorithms, Feature Engineering AI Development & Deployment: Model Fine-tuning & Prompt Engineering, Transfer Learning, Supervised & Unsupervised Learning, End-to-End ML Pipelines, Automated Model Training & Evaluation, Model Monitoring & Management (MLflow/Kubeflow), Distributed Training & GPU Acceleration, TF, PyTorch, Hugging Face Transformers Data Engineering & Big Data: Data Pipelines & ETL Processes, SQL, NoSQL (PostgreSQL/MongoDB/Cassandra/DynamoDB), BigQuery, Spark, Data Storage & Retrieval for AI/ML, Vector Databases (Pinecone/Chroma), Data Visualization & Analytics Tools Cloud & Infrastructure: GCP (GKE/Vertex AI), AWS (SageMaker/EC2/EKS), Azure ML, Docker, Kubernetes (GKE/EKS), CI/CD Pipelines & Automation, Terraform, Helm, Distributed Systems & Microservices Architecture Tools & Frameworks: Hugging Face, LangChain, LlamaIndex, Airflow, Kubeflow, Prometheus, Grafana, ELK Stack Programming Languages: Python, Rust, C++, Java, TypeScript, Golang GENERIC: Creative problem-solving, Continuous learning, Confidence, Guidance, Documentation, Scheduling, Decisionmaking, Communication skills, Code reviews, Product management, Team collaboration, Teamwork, Proactive, Innovation, Fintech, Diversity and inclusion, Cross-Functional Collaboration, Agile Methodologies, Rapid Prototyping & MVP Development, Regulatory Compliance (HIPAA/FDA), High-Availability & Fault Tolerance, Performance Optimization

Contact this candidate