David Mike-Ewewie

contact@davidmike.io LinkedIn GitHub Texas, USA

Professional Summary

AI Infrastructure Engineer with 4+ years of experience architecting, building, and managing scalable, mission-critical ML/AI systems. Published researcher with four papers, specializing in distributed computing, MLOps, high-performance computing, and production AI deployment. Proven track record of managing enterprise infrastructure for 130+ users, building ultra-low-latency trading systems, and delivering significant cost savings through technical innovation.

Professional Experience

AI/ML Infrastructure Engineer

University of Texas Permian Basin March 2024 – Present | Odessa, TX
  • Granted access to Nitrous HPC cluster (7 nodes, 224 cores) for large-scale ML research projects
  • Developing distributed training pipeline for 500GB dataset using PyTorch across 32-core compute nodes
  • Building automated library acquisition system reducing costs by 30% through ML optimization
  • Implemented computer vision model for document classification achieving 95% accuracy
  • Created REST API endpoints for model serving using FastAPI and Docker containers
  • Preparing multi-node training infrastructure leveraging 25Gb/s interconnect and Apptainer containers

Technical Infrastructure Lead

Cedar Beverage Company December 2021 – Present | Nigeria (Remote Management)
  • Architected and manage distributed systems infrastructure supporting 130+ employees across multiple locations
  • Currently deploying new-generation company infrastructure using 10-inch DeskPi racks and implementing full ERPNext solution
  • Implemented ML-powered predictive analytics reducing operational costs by $200K annually
  • Built real-time data pipelines using Apache Kafka processing 100K+ events per minute
  • Designed and manage robust disaster recovery system with RPO < 1 hour and RTO < 4 hours
  • Manage hybrid cloud infrastructure spanning AWS and on-premise data centers, maintaining 99.9% uptime

Senior ML Operations & Quantitative Infrastructure Engineer

Chiva Technologies October 2022 – October 2023 | Remote
  • Built production ML infrastructure for algorithmic trading, processing 1M+ predictions daily with sub-10ms P99 latency
  • Optimized tick data processing pipelines with custom C++ implementations, reducing latency by 73%
  • Implemented feature store using Feast, improving feature engineering and model deployment cycle by 60%
  • Designed multi-region, high-availability deployment architecture on AWS using EKS
  • Developed custom Kubernetes operators for ML workload orchestration and model monitoring
  • Led migration from monolithic to microservices architecture, supporting 50+ specialized ML models

Education

Master of Science in Computer Science

University of Texas Permian Basin January 2024 – May 2026 (Expected) GPA: 3.889/4.0

Post Graduate Certificate in AI & Machine Learning

University of Texas at Austin, McCombs School of Business January 2021 – August 2021

Bachelor of Engineering in Electrical & Electronics

Covenant University, Nigeria 2014 – 2021

Technical Skills

97 verified skills across 8 industry certifications

AI/ML Infrastructure

Certified: Machine Learning (ML), Artificial Intelligence (AI)

Advanced: MLOps, Model Serving, Distributed Training, GPU Optimization, Model Registry, A/B Testing, Feature Stores, Vector Databases, LLM Deployment, RAG Systems, PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, Hugging Face, LangChain, ONNX

Cloud & Infrastructure

Certified (AWS x3): Cloud Computing, Cloud Infrastructure, Cloud Architecture, Cloud Services, Amazon Web Services (AWS), Infrastructure as Code (IaC), Virtualization, Disaster Recovery

Advanced: Docker, Kubernetes, Terraform, EC2, S3, Lambda, SageMaker, GCP, Vertex AI, GKE

Security & Networking

Certified (CompTIA Security+/Network+): Network Security, Cybersecurity, Network Management, Cryptography, Access Control, Threat Detection, Vulnerability Management, Firewalls, VPN, Network Administration, Routing Protocols, DNS, DHCP

Advanced: Zero Trust Architecture, SIEM, Security Policies, Mobile Security, Malware Analysis

Systems & Operations

Certified (CompTIA A+): Linux, Operating Systems, System Administration, Troubleshooting, System Recovery, Backup & Recovery, Technical Support

Advanced: SLURM, MPI, OpenMP, Apptainer/Singularity, Rocky Linux, HPC Clusters, Ansible, Monitoring

Software Engineering

Certified: Python, C++, Java, SQL, Software Development, DevOps, CI/CD

Advanced: Go, Bash, CUDA, JavaScript, REST APIs, gRPC, GraphQL, GitOps

Data Engineering

Certified: Data Engineering, Data Pipelines, ETL, Data Warehousing, Databases, Data Modeling

Advanced: Apache Spark, Kafka, Airflow, Data Lakes, Stream Processing, dbt, Snowflake, Redis

Research & Publications

"Data-Driven Adaptive Curriculum: Personalizing Academic Pathways for Enhanced Engineering Student Success"

Lead Author | Accepted to IEEE FIE 2025 Conference

"Scalable Multimodal Transformer Models for Arctic Sea Ice Classification"

Lead Author | 98.4% accuracy on NSIDC data using novel architecture

"Edge AI Optimization for Resource-Constrained Devices"

Co-Author | 2024

"Distributed System Architecture for Real-time ML Inference"

Co-Author | 2024

Certifications

AWS Certified Developer - Associate
AWS Certified Solutions Architect - Associate
AWS Certified Cloud Practitioner
CompTIA Security+
CompTIA A+
CompTIA Network+
CompTIA IT Operations Specialist (CIOS)
CompTIA Secure Infrastructure Specialist (CSIS)
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