Santiago Gericke Parga

Hey! I'm Santiago, a full-stack developer and tech strategist passionate about building AI-powered solutions. Even though my professional background is in data science and tech consulting, I've steadily expanded my expertise in software engineering by building production-ready platforms, developing multi-agent systems with AWS Bedrock, creating Next.js applications with server components, and implementing intelligent automation solutions that solve complex business challenges.

My Journey

Foundations in Tech & Strategy

2016 - 2020

At Universidad Pontificia Comillas, I developed a strong technical foundation in engineering and trained a structured mindset to approach and solve complex problems, building analytical and strategic thinking skills.During this time, I discovered my passion for software development and began deep diving into programming, exploring its potential to create impactful solutions and drive innovation.

Entrepreneurial Journey – Shameless Collective & Beyond

2016 - Present

Shameless Collective began as a nascent dream among three friends but transformed into a serious venture over the last two years. Noticing we were suffering in client service and retention, I developed a full-stack returns portal and an AI-powered chatbot that drove us to boost our recurring customers and our sales by 200%.

My entrepreneurial spirit was significantly spurred during my time at Santa Clara University, where I immersed myself in Silicon Valley's startup culture. Alongside Shameless Collective, I pursued two additional ventures, developing MVPs that attracted over 100 potential users and engaging in discussions to raise a €100,000 pre-seed round

Consulting Solutions & Expansion Strategy

2020 - Present

In my consulting career, starting at AT Kearney and advancing at Monstarlab, I leveraged my technical expertise to develop data-driven solutions for enterprise clients. I built pricing optimization models for top-tier beverage companies in Spain using R and Python, and defined go-to-market strategies for FMCG companies by implementing advanced analytics with SQL and AWS. These technical implementations helped clients solve large-scale challenges, from optimizing revenue streams to developing data-backed market expansion strategies.

Mastering Full-Stack Development & Generative AI Innovation

2020 - Present

In recent years, I've built a diverse portfolio of production-ready applications spanning full-stack development and generative AI. My projects include customer-facing web applications using Next.js and React, backend automation systems with Python, and advanced AI solutions leveraging AWS services. I've implemented real-time API integrations, developed intelligent chatbots, created operational automation tools, and deployed machine learning models.

The Next Chapter – Bay Area & Beyond

Present & Future

After making the most of the experiences along my journey, I am ready to embrace the next adventure: growing in the Bay Area, a global hub of innovation and entrepreneurship. I'm excited to join a tech company where I can apply my technical skills and business experience to solve meaningful problems. My goal is to work with a talented team on products I believe in, while continuing to develop as both an engineer and entrepreneur.

Projects

Here are some of my most impactful projects—each a testament to innovation and scalable solutions.

Multi-Agent AWS Bedrock System

The Multi-Agent AWS Bedrock System implements an intelligent recommendation engine using a multi-agent architecture. Built with AWS Bedrock and Lambda, it features specialized agents that provide tailored information about hotels, Airbnbs, and restaurants. The system leverages AI-powered agents to handle complex user queries while a supervisor agent coordinates the workflow. It integrates with Amazon S3 to access accommodation and restaurant data, processing filters like location, amenities, and dining preferences. The system is accessible via API Gateway, allowing seamless integration with frontend applications through HTTP requests.

AWS BedrockAWS LambdaAmazon S3API GatewayPythonPandasBoto3Environment VariablesMulti-Agent ArchitectureServerless

AI Customer Support Chat

The AI Customer Support Chat provides real-time customer assistance with intelligent ticket management. Built with Next.js 14 and Server Actions, it features a responsive UI and real-time updates across multiple sessions. The system leverages AI-powered responses to handle customer inquiries while enabling actionable operations like changing delivery addresses and processing returns. It integrates with Shopify via GraphQL API to access order data and utilizes Twilio for voice calls and Elevenlabs AI for natural-sounding voice synthesis during customer interactions. Administrators can seamlessly take over conversations for complex issues while maintaining context.

Elevenlabs AITwilioOpenAI APIShopify GraphQL APINext.jsReactTypeScriptTailwind CSSServer ComponentsServer ActionsPostgreSQLDrizzle ORMVercel

Shameless Returns

The Shameless Returns Portal streamlines returns, improves customer experience, and reduces manual workload. Built with Next.js, React, and Neon Serverless, it integrates with Shopify (CRM) via GraphQL API and Correos using SOAP requests for real-time tracking.

Next.jsReactTailwind CSSVercelTypescriptGraphQL APISOAP APIShopifyNeon Serverless

Gmail AI Response System

An intelligent email responder powered by OpenAI and the Gmail API. It monitors incoming emails in real-time, categorizes each message using advanced natural language processing to decide if it qualifies for an AI-generated reply, and then dispatches a context-aware response to streamline communication.

PythonOpenAI APIGmail APIGoogle Cloud FunctionsPub/SubREST API

Duolingo Clone

A Next.js language platform inspired by Duolingo with interactive features. Created AI Voices using Elevenlabs AI, implemented ORM with DrizzleORM and a PostgresDB via NeonDB, integrated an admin dashboard using React Admin, and handled subscriptions using Stripe.

ReactNext.jsDrizzleORMStripeClerkTailwind CSSElevenlabs AINeonDBReact Admin

Shameless Locator

A Next.js tracker integrating with Tipsa for real‑time updates. Made API integrations using SOAP requests and employed Neon Serverless for efficient data storage.

Next.jsTailwind CSSVercelTypescriptSOAP APITipsaNeon Serverless

Order Fulfillment Automation

A Python script that automates Shopify orders with Tipsa integration. Utilized GraphQL for API connectivity to our Shopify CRM.

PythonShopify APISOAP APITipsaPandasGraphQL

Shameless Website - Shopify Clone

A Next.js e-commerce clone featuring Clerk for authentication, Neon for data storage, Drizzle for ORM, and Stripe for payment processing.

Next.jsTailwind CSSTypescriptDrizzleStripeClerkNeon

Monthly Invoice Automation

Automates monthly invoices using Python and ReportLab. Leveraged GraphQL for Shopify CRM connectivity and the Gmail API to send emails.

PythonShopify APIReportLabRequestsGraphQLGmail API

Multi-Class Text Classification Model

A fine‑tuned DistilBERT model for multi‑category text classification. Fine‑tuned with AWS SageMaker and deployed with an endpoint connected via LangChain.

AWS LambdaAWS API GatewayHugging FaceDistilBERTPyTorchPythonAWS SageMakerLangChain

Contact Me

I'm open to new opportunities, collaborations, or just a friendly chat! Reach out to me via phone or email.