Associate Manager (AWS) - Accenture

Jun 2025 - Current

• Scale & Delivery: Led a team of 7 engineers managing 80+ PySpark pipelines across 20+ enterprise sources (SAP, HighRadius), ensuring successful processing of 10k+ monthly invoices totaling $7M+
• System Turnaround: Reduced monthly Sev-1 incidents by 83% by implementing rigorous testing standards, root-cause triage, structured post-mortems, and strategic tech debt remediation
• Product & Roadmap Partnership: Partnered with Product Owners to architect a template-driven invoicing integration framework; negotiated scope against team capacity to compress new integration delivery timelines from 2 weeks to 2 days
• Team Multiplication: Optimized team velocity by automating manual processes and cross-training engineers, reducing bottlenecks and eliminating 12+ daily support interruptions to senior resources while upskilling the pod on AI-assisted development use cases
• Talent & Performance Craft: Actively managed career progression to secure promotions for 3 mentored engineers, while addressing underperformance through tailored 1:1 coaching and targeted support, paired with explicit accountability metrics to safeguard project timelines
• Cost Optimization: Led cloud cost-optimization initiatives that reduced peak workflow runtimes by up to 94% and eliminated 60+ TB of obsolete S3 storage infrastructure

Cloud Microservices Consultant - Accenture

Mar 2022 - Jun 2025

• Architecture Modernization: Modernized mission-critical legacy applications into an AWS EKS microservice architecture, scaling systems to support millions of daily API transactions
• Zero-Trust Engineering: Prototyped a Kubernetes sidecar reverse proxy layer to secure and facilitate complex microservice migrations across hybrid on-premise and cloud deployments
• Operational Governance: Eliminated tribal knowledge silos by publishing universally accessible architectural blueprints and SOPs, enabling self-service technical learning and cross-pollination across all business units
• Cloud FinOps: Engineered automated configuration audits to identify overprovisioned application resources, reducing client infrastructure overhead by $108K annually
• Technical Enablement: Upskilled hundreds of client and internal team engineers on cloud-native practices, including Kubernetes, DevOps pipelines, Helm, and AWS core services

Software Team Lead & Cloud Architect - Lonestar Analysis

Aug 2010 - Feb 2022

• Product Discovery: Led stakeholder discovery sessions, authored technical requirement specifications, and designed the architecture for a new SaaS product optimized for low maintenance and high scalability
• Agile Team Leadership: Directed a cross-functional team of 5 engineers using agile software practices, serving as the primary integration contact for 3 multimillion-dollar customer migrations
• Operational Impact: Delivered a Django/React platform with a serverless analytics engine that increased planning efficiency by 80% and streamlined maintenance logistics for 300+ commercial aircraft

Senior Software Engineer - Lonestar Analysis

Oct 2018 - Aug 2020

• Infrastructure Design: Designed a flexible, scalable Kubernetes architecture tailored to real-time client sensor processing and analytics
• Talent Acquisition: Directed technical screening and interviewing for engineering candidates, as well as authoring role specifications to close gaps in team capabilities
• Executive Liaison: Aligned cross-functional teams on tight production timelines to deliver asset-monitoring solutions under budget; translated complex technical design decisions into capability impacts for executive briefs

Full Stack Developer - Lonestar Analysis

Oct 2016 - Oct 2018

• Throughput Optimization: Increased MQTT message throughput 20-fold by architecting a multi-threaded batch processing data ingestion engine
• CI/CD Automation: Eliminated a 3-hour manual build and release process by designing and implementing automated CI/CD deployment pipelines
• Tooling & Efficiency: Developed custom internal dashboard generation tools, reducing engineering delivery requirements by 2–4 man-months per project

Software Engineer - L-3 Communications, Mission Integration Division

Jun 2015 - Oct 2016

• Software Delivery: Designed, developed, and maintained Java-based training simulation software supporting a 700-hour contract effort for airborne ISR platforms
• Vulnerability Management: Recognized with achievement awards for analyzing and resolving over 400 security vulnerabilities on open source software packages used by company
• Mentorship: Recognized by engineering leadership for successfully onboarding and training 3 incoming engineers while maintaining individual code delivery and hitting all critical project milestones
• Talent Aquisition: Volunteered afternoons to represent L-3 at recruiting dinners, helping prepare and connect candidates with hiring managers that best fit their skillsets and interests

Non-Profit CRM & Analytics Platform

• Designed, implemented, and deployed a CRM specific to the needs of a Houston non-profit including custom Redash dashboards, modern React frontend, and Flask backend
• Used highly cost-effective design which can scale as needed: static frontend files in S3 site with CloudFront, backend API in ECS with ALB to scale horizontally, Redis for caching
• Deployed all infrastructure via Terraform, Gitlab pipelines for CICD
• Leveraginged Slack API for alerting and Cloudwatch for monitoring

Stock Market AI

• Implemented genetic algorithm for training stock-choosing AI in Python
• Utilized Yahoo Stock API through PandasDataReader package and cached stock price data in Postgres database for faster training
• Scripted analysis in D3 and R to visualize training progress and interpret AI evolution
• Click here for detailed write-up

Information Retrieval Matchmaking

• Designed and implemented a user-compatibility engine in Java using an inverted index for instantaneous search
• Deployed app to Heroku and integrated with mobile app platform

Chess AI

• Researched chess programming documentation and wrote an AI that chooses moves using tactical and positional heuristics
• Implemented alpha-beta pruning move search algorithm with iterative deepening
• Click here for detailed write-up

Fractals

• Implemented graphical fractal explorer for the Mandelbrot fractal
• Utilized CUDA for GPU accelerated computing, and OpenCV for connecting the explored fractal in an exported video
• Click here for detailed write-up