Samuel W. Ouedraogo
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Software engineer with 4+ years of experience building production systems at Amazon Web Services and Lockheed Martin. I specialize in cloud-native architectures, LLM-powered applications, and high-performance defense systems. Currently pursuing an MS in Computational Analytics at Georgia Tech.
What I Do
I build scalable, production-ready systems at the intersection of software engineering, cloud infrastructure, and machine learning. From LLM-powered enterprise tools at AWS to real-time radar tracking at Lockheed Martin, my work emphasizes performance, reliability, and measurable impact in demanding environments.
Experience
Software Development Engineer
Amazon Web Services Seattle, WA- Architected and deployed production LLM-powered applications using AWS Bedrock with Retrieval-Augmented Generation, improving knowledge retrieval accuracy with context-aware responses
- Designed cloud-native internal tools using Lambda, S3, and DynamoDB to automate workflows and reduce manual processing time
- Implemented observability solutions with CloudWatch to analyze logs, metrics, and distributed traces and resolve performance bottlenecks
- Developed RESTful APIs and microservices integrating AI/ML capabilities into existing enterprise systems
Software Engineer
Lockheed Martin Moorestown, NJ- Enhanced radar tracking algorithm performance through mathematical optimization and signal processing for mission-critical defense systems
- Engineered high-performance C++ simulation models for real-time radar tracking and signal processing applications
- Designed and maintained RESTful APIs enabling cross-team data integration and system interoperability
- Delivered software solutions for defense systems under strict compliance requirements
Research Assistant
Drexel University Philadelphia, PA- Built predictive models on financial datasets using Python and R to identify market trends and risk factors
- Developed asynchronous spiking neural networks for neuromorphic computing research
- Built autonomous indoor robot in C++ for environmental sensor data acquisition and analysis
CBRN Specialist
US Army Aberdeen, MD- Led teams in high-rigor operational environments requiring probabilistic decision-making under uncertainty
- Maintained 100% operational readiness of detection and decontamination equipment
Projects
Predictive Analytics: Cancer Susceptibility
Fall 2025Built statistical models to analyze correlations between demographic factors (smoking, gender) and cancer risk using logistic regression and random forests on large clinical datasets.
Financial Market Pattern Recognition
Fall 2022Developed algorithmic trading models to identify market patterns and predict price movements using time series forecasting, backtested against historical financial data.
Phased Array Radar Control System
Fall 2022Designed control algorithms for planar phased array radar systems and optimized signal processing pipelines for real-time tracking applications.
Autonomous Air Quality Monitoring Robot
Fall 2021Developed embedded C/C++ software for Raspberry Pi-based autonomous indoor navigation with integrated environmental sensors and data logging for air quality analysis.
Skills & Technologies
Languages
Cloud & DevOps
ML & Data
Engineering
Education
Master of Science — Computational Analytics
Georgia Institute of Technology Atlanta, GA Aug 2025 – PresentBachelor of Science — Computer Engineering
Drexel University Philadelphia, PA Sep 2021 – Dec 2023Associate of Science — Mathematics
Community College of Philadelphia Philadelphia, PA Aug 2019 – Jun 2021Certifications & Clearance
Get In Touch
I'm open to exciting opportunities, research collaborations, and conversations about software engineering, ML, and cloud systems.