Camila R.
✓ Vetted CrafterSenior Software Engineer – Integrations & Bug Fixing
I fix bugs and connect APIs — integrations that work and systems that stay stable.
About
I fix bugs and build integrations. I have debugged 50+ production issues and connected 10+ products to external services. I specialise in API integrations, webhook handling, and root cause analysis. Cursor helps me trace bugs across services and generate integration code. I work with TypeScript, Node.js, and PostgreSQL.
My approach is systematic: reproduce, isolate, fix, test. I have fixed race conditions in payment flows, corrected timezone handling in reporting, and built retry logic for flaky integrations. I also build new integrations: Stripe, Slack, CRMs. Stability and connectivity are my focus.
AI Expertise
Notable Projects
Natural Language Analytics Interface
Built a chat-with-your-data-warehouse application using LangChain's SQL agent with BigQuery as the backend, wrapped in a Next.js interface with streaming responses. The agent generates, validates, and explains SQL queries based on natural language questions, with semantic caching for repeated questions.
✓ Used by 80 non-technical business users weekly; reduced analyst time spent on ad-hoc reporting requests by 65%; query accuracy of 91% on internal evaluation benchmark.
Automated Financial Reporting Pipeline
Designed an end-to-end reporting automation system: dbt models in BigQuery compute weekly financial KPIs, Airflow orchestrates the pipeline, and an LLM layer (GPT-4 via LangChain) generates narrative commentary comparing actuals to targets and explaining variances.
✓ Eliminated 12 hours/week of manual report writing across the finance team; report quality rated higher by executives than manual reports in blind survey.
Customer Churn Prediction Dashboard
Built a full-stack churn prediction product: feature engineering in dbt on BigQuery, model training and serving on Vertex AI, and a Next.js dashboard with AI-generated customer risk narratives using Claude. Product managers can query customers by risk tier and get AI-generated explanations of why each customer is at risk.
✓ Churn model achieves 0.84 AUC; proactive intervention program guided by the dashboard reduced monthly churn rate from 4.2% to 2.8% over 6 months.
Work Experience
Senior Data & AI Engineer
Rappi
2022 – Present
Own the analytics engineering stack (dbt + BigQuery) for growth and marketing teams, and lead AI feature development for merchant-facing analytics tools. Built the first generative AI features at Rappi.
Data Engineer
Lulo Bank
2019 – 2022
Built the data infrastructure from scratch for a digital-native Colombian bank. Designed the BigQuery data warehouse, implemented dbt for transformation, and built the real-time Kafka pipeline for transaction monitoring.
Education & Certifications
B.Sc. Systems Engineering
Universidad de los Andes · 2018
Interested in working with Camila?
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