Senior Software Engineer Data & ML Platforms
Resume:
Karon Jamieson Hyppolite
Sr. Software Developer
*****.*********@*****.***
Lilburn, GA, US, 30047
https://linkedin.com/karon-hyppolite
https://github.com/karon-hyppolite
https://karon-hyppolite.netlify.app
EMPLOYMENT
Sr. Software Engineer
Pearson New York, NY, 10019 05/2025 - Present
- Engineered and deployed enterprise-scale data pipelines on Databricks to handle large-volume ingestion, transformation, and analytics across diverse business units.
- Built and managed CI/CD pipelines with Jenkins to automate notebook promotion, job orchestration, and environment-based releases within Databricks, minimizing manual deployment tasks.
- Designed and implemented Databricks Model Serving endpoints, integrating Golang backend services to deliver secure, low-latency, real- time ML inference.
- Developed and productionized Python-based machine learning solutions for pattern detection and predictive modeling across batch and streaming workflows.
- Created automated data preparation, feature engineering, and cleansing frameworks in Python to maintain high data integrity for model training and inference.
- Implemented deep learning pipelines using Python ML frameworks to support NLP and computer vision applications.
- Optimized Databricks SQL workloads, dashboards, and alerting systems to deliver actionable real-time operational insights.
- Developed AWS Lambda-based API proxy services, integrating DynamoDB and IAM for secure routing and authorization of requests to model serving endpoints.
SKILLS
Golang +10 yr
Fiber +8 yr
AI/ML +5 yr
Python +10 yr
Node +7 yr
Java +8 yr
REST API +8 yr
Lambda +7 yr
GraphQL +7 yr
AWS +8 yr
Docker +7 yr
Kubernetes +6 yr
Typescript +8 yr
React +8 yr
NoSQL +10 yr
SQL +10 yr
SUMMARY
I am a software engineer with 10 years of experience designing and delivering products that generate measurable business value. Throughout my career, I have led initiatives from initial concept through full production deployment, collaborating closely with both technical stakeholders and cross-functional partners. I am motivated by tackling complex engineering challenges, optimizing development workflows, and enabling teams to consistently ship high-quality solutions on schedule. My core technical strengths include database architecture and administration, and I regularly work with technologies such as Golang, Python, Node.js, and React.
EDUCATION
Bachelor of Software Engineering
Shanghai Open University
2011-2015 Shanghai, CH GPA: 3.89/4.0
CERTIFICATIONS
Go (Inter) Python React Rest API SQL
- Performed end-to-end validation and performance testing of ML serving APIs and serverless components to ensure stability and scalability under load.
- Leveraged AWS services including EC2, S3, Lambda, IAM, and DynamoDB to support scalable model training, deployment, and orchestration.
- Implemented Grafana-based monitoring solutions to track system health, inference latency, throughput, and failure rates across distributed environments.
- Deployed and configured OpenTelemetry collectors to aggregate and export metrics and traces for centralized observability.
- Directed full lifecycle management of ML systems, covering training, validation, deployment, monitoring, and iterative improvements in production.
- Established MLOps best practices using Databricks Model Registry to manage versioning, controlled rollouts, and high-availability deployments.
- Partnered with data science, DevOps, platform engineering, and product stakeholders to define deployment standards, SLAs, and observability frameworks.
- Implemented robust data validation, monitoring, and anomaly detection mechanisms to protect production ML pipelines from schema and quality issues.
- Automated load, stress, and performance testing for ML APIs to maintain low-latency, high-throughput inference at scale.
- Managed secure and scalable cloud infrastructure for AI workloads, integrating monitoring, alerting, and access governance across environments.
- Delivered enterprise-grade ML and data platforms enabling real-time analytics and inference across distributed systems.
- Provisioned AWS and Databricks infrastructure using Terraform to ensure secure, consistent, and repeatable multi-environment deployments.
Sr. Software Engineer
Nike Beaverton, OR, 97005 08/2021 - 05/2025
- Designed and launched a Python-based AI Slack bot that automated routine workflows and improved cross-team collaboration within Slack.
- Integrated generative AI features, including natural language understanding and contextual decision support, and executed simulation- based validation to ensure production readiness.
- Architected and scaled backend services in Go, leveraging goroutines and channel-based concurrency patterns to handle high-throughput, real-time workloads.
- Developed and secured RESTful and gRPC APIs to enable efficient, low-latency communication across distributed services.
- Implemented event-driven architectures and WebSocket-based streaming to provide real-time updates without client refresh cycles.
- Built responsive front-end applications using React, TypeScript, Redux, and Next.js, delivering interactive dashboards, visualizations, and drag-and-drop components.
- Optimized performance and usability through lazy loading, modular code splitting, and accessibility-first responsive design principles.
- Deployed and operated services across AWS and GCP, utilizing Lambda, EC2, Fargate, S3, and CloudFront to ensure scalability, resilience, and global availability.
- Managed infrastructure as code using Terraform and CloudFormation, embedding automated validation checks to prevent configuration drift and deployment defects.
- Engineered and maintained scalable data platforms, including data lakes, warehouses, and ETL pipelines supporting analytics and ML workloads.
- Partnered with data engineering teams using PySpark and Spark SQL to optimize large-scale processing and business intelligence reporting.
- Administered AWS RDS environments with focus on query optimization, security controls, backup strategies, and high-availability configurations.
- Implemented CI/CD pipelines using GitHub Actions and AWS CodePipeline to automate build, test, and deployment processes.
- Strengthened engineering quality through structured code reviews, shared development standards, BDD practices with Cucumber, comprehensive automated testing, and active participation in Agile ceremonies.
- Designed and implemented an Incident Management System to monitor application health, track production incidents, manage on-call rotations, and streamline escalation workflows, reducing mean time to detection and resolution (MTTD/MTTR).
- Integrated alerting, logging, and observability tooling to support real-time incident detection, root cause analysis, and post-incident reporting.
- Established operational runbooks, SLAs, and escalation policies to improve reliability, accountability, and service continuity across distributed systems.
Fullstack Developer
Epic Games Cary, NC, 27518 01/2016 - 08/2021
- Directed end-to-end delivery of multiple products, contributing across the full SDLC including requirements analysis, architectural design, implementation, validation, deployment, and production support.
- Engineered scalable backend platforms and microservices in Go and Python to support real-time orchestration, media processing, system administration, and high-volume data transactions.
- Designed and implemented RESTful, gRPC, and GraphQL APIs in Go, integrating with third-party services such as Zoom, Vimeo, and DocuSign, while enforcing secure routing and middleware patterns using Gorilla Mux.
- Re-architected legacy Python/Django monoliths into modular Go-based microservices, reducing request latency and improving operational maintainability.
- Built serverless and cloud-native solutions leveraging AWS Lambda, Step Functions, Cloud Run, App Engine, and Cloud Functions to enable event-driven and stateful workflows.
- Designed, deployed, and managed containerized environments using Docker, Kubernetes, and Docker Swarm, including orchestration, resource optimization, and CPU/memory profiling for performance tuning.
- Implemented automated CI/CD pipelines with Jenkins, GitHub Actions, Terraform test frameworks, AWS CDK, and Cloud Build to streamline testing, artifact generation, quality gates, and multi-environment deployments.
- Developed rich front-end applications with React and Angular, delivering real-time messaging, dashboards, timelines, analytics visualizations, and interactive UI modules deployed via AWS Fargate.
- Architected and optimized data ecosystems using PostgreSQL, MySQL, MongoDB, Kafka with Schema Registry, PySpark, Hadoop, S3, and Redshift to enable large-scale analytics and cross-system synchronization.
- Established comprehensive observability frameworks using Prometheus, Grafana, and structured logging (Log4j), incorporating alerting, backup, disaster recovery, and 24x7 production support processes.
- Designed distributed messaging and workflow architectures using Kafka, RabbitMQ, and Cloud Pub/Sub to support high-throughput, fault-tolerant microservices communication.
- Enhanced infrastructure resilience and cost efficiency through autoscaling strategies, database query optimization, performance benchmarking, and proactive monitoring.
- Partnered with product, media operations, and logistics stakeholders to deliver scalable platforms for live event processing, content distribution pipelines, and delivery optimization.
- Promoted engineering excellence through UML-driven system design, automated testing frameworks (Ginkgo, JUnit, EasyMock), structured code reviews, Jira-based project tracking, and mentorship of junior engineers. PROJECTS
LMS Univo
https://apps.demo.univo-platform.com/auth/login,
https://api.demo.univo-platform.com/api
Built and led the technical direction for a web-based e-learning platform offering course authoring, grading, time tracking, notifications, real-time messaging, Zoom-powered virtual classrooms, in-person session management, and multilingual support through i18N/L10N. Owned all architectural decisions and implemented Go-based REST services integrated with MySQL, MongoDB, and Kafka for event streaming. Designed and deployed a unified single-domain architecture to serve multiple isolated React applications alongside backend APIs. Engineered the platform and infrastructure from the ground up with a performance-first approach, ensuring horizontal scalability and readiness for millions of users.
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