Sergio Gonzalez
Austin,TX
Summary
Senior Full-Stack Engineer with 13+ years of experience building scalable fintech and AI-powered platforms using Python, Django, FastAPI, React, Node.js, PostgreSQL, MongoDB, and modern ML frameworks including TensorFlow and PyTorch. Expert in both backend architecture and frontend development, seamlessly handling every aspect of complex projects from system design to deployment with a proven ability to deliver results.
Overview
13
13
years of professional experience
Work History
Senior Software Engineer
Palantir
04.2023 - Current
- Built demand forecasting and dynamic pricing systems using Python time-series models with statsmodels and scikit-learn, MERN dashboards, and Kafka; integrated POS, e-commerce, market, and social APIs with schema normalization, backfills, retries, and freshness monitoring, reducing dead stock and increasing forecast accuracy and revenue.
- Delivered an AI project management and code-generation platform using Python, GPT-4, Codex APIs, MongoDB, React, Express, and CI/CD; orchestrated LLM and dev-tool integrations with secrets management, throttling, cost controls, prompt versioning, and fallbacks for API and model changes, reducing delivery time and improving code quality scores.
- Built real-time fraud and AML detection systems with Python ensembles using XGBoost and scikit-learn, Redis, Kafka streaming, LLM-assisted narratives, and PostgreSQL audit trails; integrated KYC, AML, sanctions, PEP, and device-risk providers via secure authentication, webhooks, retries, and alert case reconciliation, reducing false positives and preventing substantial fraud losses.
- Developed research and portfolio optimization tools using Python quantitative libraries with NumPy and Pandas, LLM agents for earnings calls, Neo4j, and React with D3; managed market data, filings, and transcript providers with scheduled ingestion, deduplication, provenance tracking, and schema/API migrations, automating SEC earnings analysis and generating alpha-seeking signals that improved portfolio performance.
Senior Full-Stack Developer
Bounous
09.2020 - 04.2023
- Developed a multi-tenant SaaS backend infrastructure for web-based e-commerce platforms integrating with WordPress, Shopify, and Magento through webhook listeners and REST APIs built with Django, using Node.js Bull queues for job processing, MongoDB aggregation pipelines for cross-platform analytics, and Apache Airflow for ETL workflows processing daily transaction data, enabling online merchants to offer dynamic cashback rewards that increased conversion rates.
- Directed the implementation of an automated financial reconciliation system for B2B reward programs, utilizing Next.js for server-side rendering, PostgreSQL with complex SQL queries for transaction matching, Python Celery for distributed task processing, and integration with Plaid API for bank account verification, reducing manual reconciliation effort and processing time for enterprise clients.
- Constructed a sophisticated fraud detection microservices ecosystem using Node.js Express APIs, Kafka for event streaming, and Python-based ML pipelines with XGBoost and LSTM models deployed via TensorFlow Serving, which detected fraudulent cashback claims in real-time and saved the company significant costs annually in prevented false reward payouts.
- Designed a multi-tenant SaaS backend infrastructure for web-based e-commerce platforms integrating with WordPress, Shopify, and Magento through webhook listeners built with Node.js Bull queues for job processing, MongoDB aggregation pipelines for cross-platform analytics, and Python Apache Airflow for ETL workflows processing daily transaction data, enabling online merchants to offer dynamic cashback rewards that increased their conversion rates.
Senior Full Stack Developer
Amazon
03.2018 - 09.2020
- Architected a full-stack retail analytics platform on AWS using Node.js, Express, MongoDB, and Python ML pipelines with TensorFlow, scikit-learn, and Pandas, delivering real-time D3.js dashboards and a personalized recommendation engine analyzing customer purchasing behavior.
- Engineered an automated financial settlement backend using Python, Flask, Apache Kafka, and MongoDB, handling commission calculations, complex fee structures, and multi-country tax compliance for marketplace sellers.
- Built a responsive investor portfolio dashboard using React, Material-UI, and D3.js, enabling cross-market investment tracking with live market data feeds and interactive property comparison tools.
- Developed a PCI-DSS compliant payment backend using Python, Flask, SQLAlchemy, and PostgreSQL on AWS RDS, integrating Stripe and PayPal with multi-currency support across multiple countries and Celery-driven async processing.
- Built a property marketplace frontend using React, Redux, and Leaflet mapping, powering advanced Elasticsearch-based property search and WebGL virtual tours across residential and commercial listings.
Software Engineer
BrightBridge
07.2015 - 03.2018
- Constructed and implemented end-to-end payment infrastructure using Node.js, Express APIs, and MongoDB, supporting program purchases, scholarship credits, promotional codes, and refund workflows, increasing checkout completion rates through improved error handling and retry logic.
- Designed RESTful APIs for order management, payment callbacks, and receipt generation with idempotency keys and robust validation, reducing 'missing transaction' incidents and ensuring accurate financial record keeping across all annual transactions.
- Implemented Python-based NLP and ML features leveraging NLTK and scikit-learn for intelligent content tagging and search optimization, helping students find relevant financial education resources faster and reducing support tickets for navigation issues.
- Improved platform response times through MongoDB query optimization, strategic indexing, Redis caching implementation, and React component optimization for resource-heavy student dashboard pages serving thousands of concurrent users.
- Developed internal analytics tools using Python and React to track program enrollment patterns, payment success rates, and student engagement metrics, providing insights that shaped product pricing and scholarship allocation strategies, resulting in a significant increase in program completion rates.
Full Stack Developer
HarborPeak
03.2013 - 07.2015
- Built and maintained Python-based integrations with PayPal, ACH, wire transfer, and card networks, enabling end-to-end merchant payment flows and improving settlement accuracy via automated reconciliation pipelines processing substantial volumes annually.
- Designed and implemented Python scripts for automated daily settlement reconciliation, identifying and resolving duplicate transactions, missing status updates, and settlement mismatches, reducing manual operations investigations and significantly decreasing processing time on a daily basis.
- Developed automated reporting pipelines in Python for merchant payouts, generating daily settlement reports and exception handling summaries for finance and operations teams, improving reporting accuracy and reducing manual report generation time substantially.
Education
Master of Science - Computer Engineering
Austin Community College
Austin, Texas01-2008
Skills
- Reactjs
- Nextjs
- JavaScript / TypeScript
- Redux
- D3js
- Python
- Django
- FastAPI
- Nodejs / Expressjs
- RESTful APIs
- PostgreSQL
- MongoDB
- Redis
- Apache Kafka
- TensorFlow
- PyTorch
- Scikit-learn
- LangChain
- NumPy / Pandas
- AWS
Timeline
Senior Software Engineer
Palantir
04.2023 - Current
Senior Full-Stack Developer
Bounous
09.2020 - 04.2023
Senior Full Stack Developer
Amazon
03.2018 - 09.2020
Software Engineer
BrightBridge
07.2015 - 03.2018
Full Stack Developer
HarborPeak
03.2013 - 07.2015
Master of Science - Computer Engineering
Austin Community College