Welcome to the portfolio of
Alexandria Doyle
Intersecting Growth Strategy, Software Execution, and Agentic AI.
Hi, I'm Alexandria Doyle. As a Technical Product Marketing & Growth Leader, I leverage a software engineering foundation and a B.S. in Communications Media to bridge the gap between deep engineering teams, technical buyers, and enterprise stakeholders.
With 9+ years of experience building scalable marketing systems, optimizing customer journeys, and driving customer acquisition, I specialize in translating complex technologies into clear, market-differentiated value.
Right now, I am focusing my background on the frontier of Agentic AI, multi-API architectures, and LLM orchestration—not just writing about the technology, but actively architecting, programming, and deploying autonomous systems from the ground up.
Case Study 1: Agentic Pet Services Marketplace App
Role: Solo Architect & Lead Developer | Core Stack: Python, LLM Orchestration Frameworks, Distributed Marketplace APIs, Cursor, Claude Engineer
Challenge
Traditional service marketplaces (like Rover) rely on high-friction manual coordination. Users spend hours browsing profiles, messaging providers back and forth, and cross-referencing conflicting availability constraints, which leads to platform drop-off and delayed transactions.
Strategic Approach
Designed a decentralized, two-sided marketplace prototype driven entirely by autonomous, task-specific AI agents. The strategy shifted the operational model from human-to-human negotiation to machine-to-machine orchestration, removing manual coordination entirely from the user experience.
Execution
Engineered a multi-agent workflow in Python utilizing advanced LLM orchestrators to manage the application state. Developed distinct "User Agents" to ingest natural language demands and extract behavioral constraint vectors, alongside "Provider Agents" built to strictly enforce baseline pricing and calendar boundaries. Built automated negotiation loops that securely interface via APIs to dynamically resolve scheduling and matching without human intervention.
Impact
Proved that multi-variable logistical problems (matching pet behavior, budget, and complex schedules) can be negotiated programmatically by standalone LLM agents. Streamlined the end-to-end booking timeline down from hours of manual messaging to automated, sub-second execution blocks.
Outcome
Validated a scalable infrastructure framework for AgenticOps within marketplace models—demonstrating how enterprise platforms can reduce transactional friction to near-zero, maximize booking conversion metrics, and scale multi-domain workflows.
Case Study 3: Digital Growth Engine, SEO Transformation & Lead Generation Strategy
Industry: Real Estate | Role: Senior Growth & Lifecycle Marketing Consultant
Challenge
The organization lacked scalable digital acquisition infrastructure, limiting organic visibility, lead generation, and conversion opportunities. The website experience was not optimized for search discovery, customer journeys, or measurable acquisition performance.
Strategic Approach
Designed and executed a full-funnel digital growth strategy focused on building a scalable acquisition engine through SEO, website optimization, conversion improvements, and marketing analytics.
Rebuilt the digital customer journey by improving website structure, information architecture, user experience, and conversion pathways.
Developed a growth framework integrating technical SEO, content strategy, website optimization, and performance measurement to create a sustainable inbound acquisition channel.
Execution
Partnered with executive leadership to align digital strategy with business objectives, lead generation goals, and revenue opportunities.
Led implementation across website redevelopment, CMS optimization, technical SEO restructuring, analytics setup, conversion tracking, and reporting infrastructure.
Implemented measurement systems to improve visibility into acquisition performance, customer behavior, and marketing effectiveness.
Impact
- Increased organic website traffic by 654%
- Drove an estimated 150–200% increase in qualified property tour inquiries
- Improved lead generation efficiency through SEO and conversion optimization
- Established scalable inbound acquisition infrastructure
Outcome
Transformed a static digital presence into a measurable growth engine by combining SEO, customer journey optimization, analytics, and conversion strategy to create a sustainable pipeline generation system.
Case Study 5: Marketing Operations Transformation & Scalable Workflow Systems
Industry: Publishing | Role: Ad Composition Manager
Challenge
Creative production operations relied on fragmented processes, inconsistent asset management, and inefficient coordination between production and sales teams. Legacy workflows created bottlenecks, duplicated work, and limited scalability.
Strategic Approach
Led an operational transformation initiative focused on improving marketing workflows, asset governance, production efficiency, and cross-functional collaboration.
Designed standardized processes for file management, version control, naming conventions, and creative production workflows to improve consistency and reduce operational friction.
Developed scalable systems that enabled teams to better manage increasing campaign volume while maintaining quality standards.
Execution
Owned implementation of workflow improvements across creative production and advertising operations.
Built and deployed a centralized digital asset management system to improve asset accessibility, organization, and campaign scalability.
Created documentation and process standards to support adoption, improve collaboration, and increase operational efficiency across teams.
Impact
- Eliminated 100+ GB of redundant and unsupported files
- Created centralized, searchable digital asset management infrastructure
- Improved workflow efficiency across creative and sales operations
- Reduced production bottlenecks and operational delays
Outcome
Modernized legacy marketing operations into a scalable workflow system that improved execution efficiency, collaboration, and organizational readiness for future growth.
AlexandriaDoyle04@gmail.com
215.307.7125
Case Study 2: Autonomous Quantitive Trading Agent
Role: Solo Architect & Lead Developer | Core Stack: Python, Financial Market APIs, Advanced Prompt Frameworks, Google CoLab, Git
Challenge
Capitalizing on highly volatile financial markets requires continuous data ingestion, real-time technical analysis, and rapid risk assessment. Manual trading or rigid, non-AI algorithmic systems struggle to adapt trading logic dynamically based on contextual macro variables and multi-domain data streams.
Strategic Approach
Architected an autonomous, multi-agent quantitative trading system capable of continuously streaming real-time market data, dynamically executing risk-adjusted decision matrices, and managing account state loops autonomously.
Execution
Programmed a Python-based infrastructure that interfaces directly with disparate financial market APIs to track and process multi-domain asset data. Leveraged Cursor, Claude Engineer, and Google CoLab to engineer prompt-driven algorithmic routing logic (Buy/Sell/Hold triggers) inside a secure paper-trading environment. Built robust system error-handling loops and state management mechanisms to ensure safe multi-API synchronization.
Impact
Maintained continuous, low-latency system uptime for real-time market data ingestion and programmatic analysis. Eliminated emotional trading variance by tethering asset execution workflows strictly to data-driven AI risk parameters and deterministic state loops..
Outcome
Successfully developed a functional, automated fintech proof-of-concept. The project demonstrates an advanced capability to design, debug, and productize secure multi-API software architectures that translate complex data inputs into autonomous business actions.
Case Study 4: Lifecycle Marketing Strategy, Audience Growth & Omnichannel Engagement
Industry: Hospitality/Higher Education | Role: Marketing Manager
Challenge
The organization's marketing efforts relied heavily on transactional, promotional messaging that limited audience engagement and long-term brand affinity. Customer interactions lacked a unified strategy across channels, creating opportunities to improve audience growth, engagement, and ongoing relationship building.
Strategic Approach
Developed and executed an audience-first lifecycle marketing strategy designed to strengthen engagement across key customer touchpoints, from awareness and acquisition through ongoing community interaction.
Shifted marketing efforts from product-focused communication to experience-driven storytelling centered around customer needs, audience insights, and brand connection.
Built an integrated omnichannel approach across social media, email, digital communications, and campus-facing initiatives to create more consistent and relevant customer experiences.
Execution
Led development and optimization of digital campaigns across Instagram, Facebook, email, and other customer communication channels to improve engagement throughout the customer journey.
Implemented performance tracking frameworks using audience insights, engagement analytics, and campaign reporting to identify opportunities, refine messaging, and optimize marketing effectiveness.
Created structured content planning workflows and collaborated cross-functionally with marketing, operations, and leadership teams to align campaigns with customer experience goals and business objectives.
Managed and mentored a cross-functional marketing team supporting content creation, digital campaigns, analytics, social media, and events execution.
Impact
- Increased Instagram audience growth by 249%
- Increased Facebook engagement by 18.4%
- Increased audience interactions by 15.3%
- Improved brand visibility and engagement consistency across key customer touchpoints
Outcome
Transformed marketing efforts from channel-specific execution into an integrated lifecycle engagement strategy that strengthened customer relationships, improved audience growth, and created a scalable framework for ongoing marketing performance.
Case Study 6: Lifecycle Marketing Automation & CRM Optimization
Industry: Professional Services | Role: Senior Growth & Lifecycle Marketing Consultant
Challenge
The organization lacked a structured lifecycle marketing framework to effectively nurture prospects, engage existing audiences, and improve conversion opportunities. Marketing efforts were primarily campaign-driven, limiting visibility into customer journeys, audience behavior, and opportunities for automated engagement.
Strategic Approach
Designed a lifecycle marketing strategy focused on improving acquisition, lead nurturing, engagement, and conversion through CRM optimization and marketing automation.
Mapped customer journeys to identify key lifecycle stages, audience segments, and opportunities for automated communication.
Developed a scalable framework integrating segmentation, email automation, behavioral triggers, and performance measurement to create more personalized customer experiences.
Execution
Implemented CRM and marketing automation workflows to support lead capture, segmentation, nurturing, and customer engagement initiatives.
Built lifecycle campaigns including onboarding sequences, nurture programs, re-engagement campaigns, and targeted communications based on audience behavior and engagement signals.
Established reporting frameworks to monitor campaign performance, engagement trends, conversion opportunities, and optimization opportunities.
Conducted A/B testing across email campaigns, messaging, calls-to-action, and conversion pathways to improve marketing effectiveness.
Impact
- Improved lead engagement through automated lifecycle campaigns
- Increased marketing efficiency by reducing manual campaign execution
- Created scalable CRM and automation infrastructure to support customer journeys
- Improved visibility into audience behavior and campaign performance
Outcome
Built a scalable lifecycle marketing engine that connected customer data, automation, and campaign strategy to improve engagement, conversion opportunities, and long-term marketing performance.

