I am a Senior Software Engineer with 10+ years of experience designing and delivering scalable software platforms that generate measurable business impact. My expertise spans AI/ML systems, distributed architectures, cloud-native infrastructure, and high-performance backend services.
I specialize in building enterprise-grade data and ML platforms, leading initiatives from architectural design through production deployment, and establishing MLOps best practices for scalable and reliable systems.
- AI/ML Production Systems (Batch + Real-Time Inference)
- Databricks & Model Serving Architecture
- Distributed Systems & Microservices
- Cloud Infrastructure (AWS / GCP)
- MLOps & Observability
- CI/CD Automation & Infrastructure as Code
- High-Throughput Backend Systems (Go, Python)
Languages - Go (10+ years) - Python (10+ years) - TypeScript (8+ years) - Java (8+ years) - Node.js (7+ years)
Cloud & DevOps - AWS (EC2, S3, Lambda, IAM, DynamoDB, RDS, Fargate, CloudFront) - GCP (Cloud Run, App Engine, Cloud Functions) - Terraform, CloudFormation, AWS CDK - Docker, Kubernetes - Jenkins, GitHub Actions, CodePipeline
Data & ML - Databricks - PySpark / Spark SQL - ML Model Serving - Feature Engineering Pipelines - NLP & Computer Vision Pipelines - Kafka, RabbitMQ, Cloud Pub/Sub - Redshift, PostgreSQL, MySQL, MongoDB
Frontend - React, Next.js - Redux - WebSocket Streaming - Responsive & Accessibility-First UI
Observability - Grafana - Prometheus - OpenTelemetry - Structured Logging & Distributed Tracing
- Architected enterprise-scale ML data pipelines on Databricks.
- Built CI/CD workflows for automated notebook promotion and environment-based releases.
- Designed real-time model serving endpoints integrated with Go backend services.
- Implemented end-to-end MLOps lifecycle management with monitoring and automated validation.
- Deployed secure AWS-based infrastructure using Terraform for scalable ML workloads.
- Built AI-powered Slack automation systems.
- Architected high-concurrency Go backend services.
- Developed REST & gRPC APIs for distributed systems.
- Designed and deployed cloud-native infrastructure across AWS and GCP.
- Built an enterprise Incident Management System improving MTTD/MTTR.
- Led end-to-end product development across multiple platforms.
- Built scalable Go and Python microservices.
- Re-architected legacy monoliths into distributed systems.
- Designed real-time event-driven architectures with Kafka and Pub/Sub.
- Delivered high-performance front-end applications in React and Angular.
A scalable, multi-tenant e-learning platform supporting:
- Course authoring & grading
- Real-time messaging
- Zoom-integrated virtual classrooms
- In-person session management
- Multilingual support (i18N / L10N)
- Event streaming with Kafka
- Unified single-domain architecture serving multiple React apps
Built from the ground up with Go-based REST APIs, MySQL, MongoDB, and performance-first infrastructure design to support millions of users.
- Design for scale from day one.
- Automate everything that can be automated.
- Observability is not optional.
- Optimize for reliability and maintainability.
- Deliver measurable business impact.
- LinkedIn: https://linkedin.com/karon-hyppolite\
- GitHub: https://github.com/karon-hyppolite\
- Portfolio: https://karon.netlify.app\
- Email: karon.hyppolite@gmail.com
⭐ Always open to collaborating on high-impact AI, distributed systems, and cloud architecture projects.