AI Systems Engineer · Cloud Architect · Full Stack Developer

Scalable Systems. Cloud Native. AI Integrated.

Architecting AWS-native, AI-enabled systems at scale, from real-time inference pipelines serving 100K+ concurrent users to autonomous robotics. AWS Certified AI Practitioner.

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About Me

I am a Cloud Solutions Architect and Tech Lead with 4+ years of experience building AWS-native, AI-enabled systems at scale. I currently lead a team of 6 engineers delivering cloud-native infrastructure for real-time, high-concurrency platforms.

I design and deploy real-time AI inference pipelines that process video, audio, and metadata streams. I recently co-architected a system sustaining 100K+ simultaneous sessions under multi-hour sustained load, and my work spans cloud-based computer vision, edge-deployed ML, and event-driven AI decision engines.

Beyond production systems, I extend AI and edge expertise into robotics: as team lead, I took an autonomous-vehicle team to overall 1st place at the international FIRA RoboWorld Cup 2026. I thrive in collaborative, cross-cultural environments, translating complex requirements into practical, high-quality solutions.

Technical Expertise

Frontend & Mobile

ReactReact NativeNext.jsElectron.jsTailwind CSSTypeScriptJavaScript

Backend & Data

Node.jsExpress.jsPythonServerless FrameworkPostgreSQLMySQLDynamoDBMongoDBDocumentDBFirebase

Cloud & DevOps

AWS (Expert)LambdaAPI GatewayS3 / SQS / SNSBedrockRekognitionChime SDKDockerCI/CDInfrastructure as Code

AI, ML & Robotics

Computer VisionOpenCVTensorFlowPyTorchUltralytics YOLO (YOLOv8)ROS2Edge & Cloud Model DeploymentLiDAR / IMU Sensor Fusion

Professional Experience

4+ years building AWS-native, AI-enabled systems at scale

Technical Lead

Sumadi

Jun 2025 - Present
Ontario, Canada · Remote
  • Lead a team of 6 engineers, owning technical execution and 100% roadmap delivery across multiple concurrent product streams
  • Co-architected and scaled a high-concurrency cloud platform supporting 100K+ simultaneous sessions under sustained multi-hour workloads
  • Architected a real-time AI inference pipeline processing video, audio, and metadata streams for large-scale user behaviour analysis
  • Built a semi-automated proctoring alert system that scaled supervisor oversight from 1:50 to 1:500, avoiding ~2,000 additional hires across 100K+ concurrent users
  • Optimized throughput, latency, and cost across Lambda, API Gateway, DynamoDB, S3, and SQS under prolonged peak load

Robotics Software Developer

Laurentian University (LIMRL)

Sep 2025 - Present
Sudbury, Ontario · Part-time
  • Develop and test autonomous-driving software across computer vision, machine learning, and edge AI on Linux-based embedded robotic platforms
  • Build ROS2 pipelines with multi-sensor stacks (camera, LiDAR, IMU) for real-time perception and navigation on physical robot hardware
  • As Team Lead of SnoBots-AC, won overall 1st place in the Autonomous Cars Challenge (Pro league) at the 31st FIRA RoboWorld Cup 2026, an international competition with teams from 20+ countries
  • Took 1st place in every judged category and coordinated a cross-country collaboration with teams from Malaysia and Uruguay

Senior Full Stack Developer

Sumadi

Jan 2025 - Jun 2025
Remote
  • Designed high-concurrency, high-availability cloud architectures achieving up to 8× cost reduction vs. equivalent managed AWS AI services
  • Built and scaled real-time chat services supporting thousands of concurrent users
  • Led R&D on computer vision and generative AI, evaluating feasibility for product integration

Full Stack Developer

Sumadi

May 2022 - Dec 2024
Tegucigalpa, Honduras · Hybrid
  • Designed and developed scalable AWS-based systems using TypeScript, Node.js, Python, and SQL/NoSQL databases
  • Built a real-time video calling platform with AI-assisted workflows using AWS Chime SDK
  • Introduced micro-frontend architecture with React, accelerating delivery timelines by 60% through shared component reuse

Public Projects

💼 Note: The majority of solutions and projects I've led and developed are private, proprietary work for clients and companies. The projects showcased here represent a selection of public work that demonstrates my technical capabilities and approach to problem-solving.

Autonomous Mobile Robot Navigation

Latest

Vision-only navigation system on AGILEX LIMO using a single monocular camera. Features YOLOv8 traffic sign recognition, PD line following, and FSM-based obstacle avoidance without LiDAR.

PythonROS2YOLOv8OpenCV

Warehouse Robot Navigation: Q-Learning & Exploration Bonus

Tabular Q-Learning on a 400-state warehouse gridworld. The Exploration Bonus variant converged 3.5× faster (~43 vs. ~149 episodes for ε-greedy), reaching a 100% task success rate across 3 random seeds.

PythonNumPyMatplotlibReinforcement LearningQ-Learning

Comparative Evaluation of Geometric (AprilTag) and YOLO-Based Object Detection for Urban Navigation

A computer vision project comparing AprilTag-based geometric detection and a fine-tuned YOLOv8 model for real-time traffic sign recognition, analyzing accuracy, robustness, latency, and decision consistency in urban navigation scenarios.

Computer VisionObject DetectionYOLOv8AprilTagOpenCVPyTorchRoboticsAutonomous NavigationTraffic Sign DetectionMachine Learning

Hackathon Ficohsa 2021 — TVC Online Directory for SMEs

Award-winning hackathon project where a five-member team built a Next.js web platform to connect Honduran small and medium-sized businesses with customers, winning the “TVC – Directorio En Línea Para PyMEs” challenge.

HackathonWeb DevelopmentNext.jsFirebaseTailwind CSSStartupsSMEsFinTechInnovationTeam Project

Education

Graduate and undergraduate studies (condensed).

Laurentian University / Université Laurentienne

Master of Science (MSc), Computational Science

🇨🇦
Jan 2025 – Aug 2026 (Expected)

Focus on applied computational science and intelligent systems, covering machine learning/deep learning, computer vision, robotics, IoT, data mining, research methods, ethical hacking, and business statistics. All degree requirements completed; conferral expected Aug 2026.

Skills
PythonJavaScriptMATLABROS2Ultralytics YOLOBackpropagation algorithmComputer VisionCybersecurity
Universidad Católica de Honduras 'Nuestra Señora Reina de la Paz'

Bachelor of Engineering (BE), Computer Science

🇭🇳
Jan 2019 – Dec 2022

Strong foundation in computer science and engineering, with a focus on software development, databases, and practical leadership through academic service.

Highlights
  • GPA: 3.83 / 4.0 (95.85%)
  • International credentials verified by World Education Services (WES Canada)
  • Total undergraduate semester credits: 154.5
  • Activities: faculty association member, math & programming tutor, motivational speaker
Skills
DatabasesLeadershipORMC#Node.jsJavaScript

Licenses & Certifications

Search, filter, and sort my certificate archive.

35 shown · 35 total
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Amazon Web Services
Amazon Web Services
Issued Jan 2026

AWS Certified AI Practitioner AIF-C01

Credential ID: 586c3a24-f1e1-4aa1-a155-0f68fb893af6
AWSGenerative AIArtificial IntelligenceCloud Computing
AICloud
Udemy
Udemy
Issued Jan 2026

Ultimate AWS Certified AI Practitioner AIF-C01

Credential ID: UC-cd981799-62db-4600-81e1-a80d24680d41
AWSGenerative AIArtificial IntelligenceAmazon Bedrock
AICloud
Udemy
Udemy
Issued Sep 2025

GitHub Copilot for Beginners: AI Coding Crash Course

Credential ID: UC-d1b8e0a5-66e4-41af-a999-c2a2cb8c0fe9
GitHub Copilot
AI
Udemy
Udemy
Issued Aug 2025

Email Etiquette: Write More Effective Emails At Work

Credential ID: UC-ef662a31-5092-4201-a5d5-77dbf19c56ec
AICommunication
Udemy
Udemy
Issued Aug 2025

Generative AI for Beginners

Credential ID: UC-ef662a31-5092-4201-a5d5-77dbf19c56ec
Prompt EngineeringGenerative AI
AI
MathWorks
MathWorks
Issued May 2025

MATLAB Onramp

Credential ID: ff694876-5143-4313-ba65-c6e4ecfd80f6
MATLAB
General
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Get in Touch

Open to discussing scalable architecture, cloud strategy, and AI integration.

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