Senior Full-Stack Engineer & AI/ML Specialist

Dylan Devera

608-***-**** ****************@*****.*** linkedin.com/in/dylan-devera-1687803a5 github.com/frankomondo NV US PROFESSIONAL SUMMARY

Full-Stack Engineer and AI/ML Specialist with 8+ years of experience designing and delivering scalable, production-grade software and immersive digital experiences. Expertise in TypeScript, JavaScript, Node.js, HTML/CSS, Vue, and NoSQL databases, with a passion for building intuitive, beautifully designed interfaces and robust backend systems. Proven track record of shipping end-to- end features, collaborating with design teams, and leveraging AI-assisted development tools for rapid iteration. Committed to creating impactful products that promote wellbeing and community through technology. Eager to drive innovation at the intersection of mindfulness, design, and engineering. EDUCATION

Argosy University September 2009 - July 2013

Computer Science Bachelor's Degree

EXPERIENCE

Senior Software Engineer

Chiral October 2025 - Present New York, NY

Architected and deployed LLM-powered text extraction APIs, achieving 99.8% uptime and processing over 50,000 documents daily.

Engineered full-stack scalable AI services, supporting growth from 0 to 10 million monthly API requests within 6 months. Partnered with founders to iterate on core product features, accelerating impactful releases and product-market fit by delivering 5 major iterations 4 weeks ahead of schedule.

Drove performance and reliability in startup delivery cycles, leveraging agile leadership and rapid prototyping to reduce cycle time by 40%.

Spearheaded cross-functional collaboration to resolve ambiguous requirements and resource constraints, accelerating blocker resolution by 3x (from ~9 days to ~3 days average). Senior Software Engineer/Software Architect

GE Healthcare February 2019 - August 2025 Chicago, IL Led architecture and implementation of cloud-native ML pipelines for healthcare imaging and AI applications, enabling seamless data-to-inference workflows and reducing end-to-end latency by 50%. Designed and built graph-based recommendation systems and scalable GKE-based ML infrastructure for training and serving, improving model serving throughput by 60%.

Engineered automated ML workflows with Airflow, streamlining data ingestion, model training, and deployment to cut deployment time by 70%.

Built and refined a custom feature store, powering consistent data access for offline training and online prediction and decreasing feature retrieval latency by 45%.

Accelerated deployment of high-accuracy AI models by implementing MLOps best practices and fostering strong stakeholder relationships, shortening release cycles from months to days (75% faster). Software Engineer

Blacc Spot Media February 2015 - January 2019 Atlanta, GE Developed cloud communications platforms using WebRTC and programmable APIs for real-time client applications, supporting 10,000+ concurrent users.

Architected microservices and optimized performance to deliver high-engagement features ahead of schedule, completing projects 3 weeks early on average.

Mentored junior engineers and led agile iterations in a fast-paced, results-driven consulting environment, boosting team velocity by 35%.

Designed microservices architectures for real-time messaging and voice/video features, enabling the system to handle 5x traffic spikes without downtime and reducing peak latency by 60%. Collaborated with clients to deliver custom, high-performance digital solutions, improving reliability and efficiency by reducing system errors 50% and increasing uptime to 99.9%.

Software Engineer

University Hospitals September 2013 - February 2015 Shaker Heights, OH Developed backend services for healthcare data processing and integration, improving system uptime and reliability to 99.95% availability.

Modernized legacy codebases and implemented robust testing to ensure regulatory compliance and secure solutions, cutting compliance-related incidents by 60%.

Collaborated with clinical stakeholders to translate requirements into scalable technical solutions, delivering 8 critical integrations 2 months ahead of timeline.

Implemented secure, compliant code practices to meet healthcare regulations and optimize system availability, reducing security vulnerabilities by 70%.

Troubleshot systems for high-availability in mission-critical clinical environments, minimizing downtime incidents by 80%. SKILLS

AI/ML & Data Science: Python, PyTorch, TensorFlow, Scikit-learn, LLMs (Fine-tuning & Prompt Engineering), NLP, Graph- based Recommendation Systems, Feature Engineering, Model Evaluation & Monitoring, Data structures Programming Languages: Rust, Python, C++, Java, TypeScript, JavaScript Frontend: React, Next.js, Angular, Vue, JavaScript, TypeScript, HTML, CSS Backend & Full-Stack: FastAPI, Flask, Django, Node.js, Express, Microservices, REST APIs, GraphQL APIs, WebSockets, Web services, Distributed systems

MLOps & DevOps: Airflow, Kubeflow, MLflow, Docker, Kubernetes (GKE), CI/CD Pipelines, Model Deployment & Monitoring Cloud Platforms & Infrastructure: GCP (GKE), AWS SageMaker, AWS EC2, AWS ECS, Azure ML, Terraform, Cloud-Native Architecture

Databases & Big Data: PostgreSQL, MongoDB, DynamoDB, MySQL, Oracle, Redis, Cassandra, Apache Spark, Apache Kafka, Vector Databases (Pinecone/Chroma), BigQuery, NoSQL Databases Healthcare & Regulated AI: HIPAA/FDA Compliance, Regulated Environment ML Production, Clinical AI Systems, Real-time Prediction

Other Technologies: Creative problem-solving, Continuous learning, Confidence, Guidance, Documentation, Scheduling, Decision-making, Communication skills, Code reviews, Product management, Team collaboration, Proactive, Innovation, Fintech, Diversity and inclusion, AI-assisted development (Cursor, Claude Code, etc.), Agile methodologies

Contact this candidate