Omar Morales

Built an internal AI inference and data pipeline platform to identify and prioritize federal/state government contract leads, improving lead matching and routing using vectorized retrieval and schema-validated agentic workflows.

Built an internal AI inference and data pipeline platform to automate identification and prioritization of government contract leads, improving matching accuracy and enabling vectorized semantic search and RAG-style summarization. Deployed local GPU-accelerated inference and Ray-based distributed testing to validate models and reduce false positives in lead qualification.

Improved uptime and delivery reliability by automating observability and feedback loops, building internal operational tools and integrating Vertex AI for intelligent recommendations and experimentation.

Improved system uptime and delivery reliability by automating observability and incident workflows, reducing manual troubleshooting and integrating Datadog across pipelines. Built internal operational tools and automated cross-cloud ticketing workflows, reducing incident resolution time by 35% and accelerating experimentation with Vertex AI.

Provided managed services and product consulting to accelerate time-to-market and increase customer engagement through tailored technical and operational solutions.

Optimized geospatial workflows for major clients using Python and Google Maps API, increasing logistics efficiency by 25% and reducing delivery times by 20% through a predictive routing model and structured machine-readable outputs for downstream integration.

Optimized geospatial workflows for enterprise clients, increasing logistics efficiency by 25% and reducing delivery times via predictive routing models and deterministic outputs for downstream automation.

Led employer engagement and scaled outreach solutions across higher education recruiting platforms, exceeding client acquisition goals and driving enterprise adoption of recruitment technologies.

Spearheaded rollout of employer engagement solutions across higher-education recruiting platforms using CRM tools, exceeding client acquisition goals and leading employer partnerships across thousands of campuses to expand service adoption.

Coached retail teams to increase B2B sales participation by over 80%, launched retention programs to reduce churn, and developed onboarding to accelerate new-hire productivity.

Coached retail teams to increase B2B sales participation by over 80% and launched retention programs that reduced churn while leading new-hire onboarding to accelerate representative productivity in high-volume stores.

Led a bilingual sales team to top national performance, ranking #1 among 425 reps for six months and designing training and competitions that maintained a 98% retention rate.

Led a high-performing bilingual sales team ranked top nationwide, designed training and competitions that sustained a 98% retention rate and improved close rates through tailored objection handling.

Directed regional marketing campaigns that increased foot traffic by 35% across model sites and managed full-cycle event coordination and local advertising strategies.

Directed regional marketing campaigns that increased foot traffic by 35% across three model sites and managed full-cycle event coordination and local advertising strategies to drive sales.

Grade: 4.33 GPA

Completed a Postgraduate Program in Artificial Intelligence and Machine Learning: Business Applications with a 4.33 GPA, focusing on applied AI for business.

Grade: 3.9 GPA

Activities and societies: PC Building; Photography

Earned a Bachelor of Engineering in Computer Science with a 3.9 GPA, concentrating on software and systems engineering.