I am a seasoned Software Engineer and AI Architect with over 8 years of experience building scalable, high-quality software solutions. I work across both web and mobile development using languages such as Python, JavaScript, Dart, and C#, and frameworks including Django, Flask, FastAPI, Node.js, React, Vue, Angular, and Flutter. I have delivered projects across diverse industries such as e-commerce, education, healthcare, petroleum, and fintech, handling systems of varying scope and complexity. I bring strong analytical thinking, attention to detail, and problem-solving skills, enabling effective collaboration with cross-functional teams. I am committed to software engineering best practices and thrive in dynamic, fast-paced environments where adaptability and precision are key to success.
Python
Django
Flask
Docker
Kubernetes
Azure
PostgreSQL
React.JS
Vue.js
Dart
Flutter
Javascript
■ Impact Point (Aug 2024 – Mar 2025)
■ Developed and maintained REST APIs and backend services using Python, FastAPI, and Django, deployed on AWS with Docker and Kubernetes.
■ Built React frontends consuming internal APIs, delivering full-stack features across multiple product iterations.
■ Incorporated AI capabilities using multiple LLM providers, implementing LangChain orchestration pipelines and Langfuse for observability and tracing.
■ Technologies: Python, FastAPI, Django, React, AWS, Docker, Kubernetes, LangChain, Langfuse, GitHub Actions.
■ Contrario AI – contrario.ai (Apr 2025 – Jan 2026)
■ Designed and delivered full-stack features entirely in TypeScript across frontend and backend services hosted on Microsoft Azure.
■ Integrated multiple AI model providers into product workflows using LangChain for chain orchestration and Langfuse for LLM observability and evaluation.
■ Collaborated with product and design teams to ship user-facing AI-driven features at a fast iteration cadence.
■ Technologies: TypeScript, Node.js, React, Azure, LangChain, Langfuse, Docker, GitHub Actions.
■ Scope – tryscope.ai (Feb 2026 – Present)
■ Built and scaled AI-powered platform features on Google Cloud Platform (GCP), covering backend services and infrastructure automation.
■ Integrated multiple LLM providers into production pipelines using LangChain for orchestration and Langfuse for tracing and monitoring.
■ Technologies: Python, TypeScript, GCP, LangChain, Langfuse, Docker, GitHub Actions.
■ As Founder and Staff Engineer, led end-to-end development of an international money transfer platform using Python Django, FastAPI, and React, enabling transactions between the USA, Mexico, and Colombia.
■ Architected scalable AWS infrastructure (EC2, S3, RDS, Lambda) with Infrastructure as Code via Terraform, ensuring high availability and performance.
■ Integrated banking APIs including Evol, Chase, and Plaid for real-time data acquisition; utilized Celery for distributed task management and PostgreSQL for database operations.
■ Pioneered Docker containerization and Kubernetes orchestration; directed recruitment, onboarding, and mentoring of the engineering team.
■ Technologies: Python, Django, FastAPI, React, AWS (EC2, S3, RDS, Lambda), Docker, Kubernetes, Terraform, PostgreSQL, MongoDB, Celery, OAuth2.0, TypeScript, GitHub Actions, Jenkins.
● Project: PWC
PricewaterhouseCoopers is an international professional services brand of firms, operating as partnerships under the PwC brand.
Main tasks executed in the project:
○ Development of internal tools
○ Solve issues reported
○ Development new features
○ Integrate and manage cloud infrastructure AWS
● Project: Zenbusiness ZenBusiness is a trusted partner that gives entrepreneurs the power and support to scale their business.
Main tasks executed in the project:
○ Development new features ○ Solve issues reported
○ Create issues tickets when bug is reported
○ Manage cloud infrastructure deployments AWS
○ Follow internal team issues and generate solutions.
○ Keep team members updated with current workflow
● Project: Devon
Devon Energy Corporation is an energy company engaged in hydrocarbon exploration in the United States. It is organized in Delaware and its corporate operative headquarters are in the 50-story Devon Energy Center in Oklahoma City, Oklahoma.
○ Development new features
○ Development and maintenance of ML models
○ Manage cloud infrastructure AZURE
● Project: Carvana
Carvana is an online used car retailer based in Tempe, Arizona. The company is the fastest growing online used car dealer in the United States and is known for its multi-story car vending machines. Carvana was named to the 2021 Fortune 500 List, one of the youngest companies to be added to the list.
○ Development new features
○ Solve issues reported
○ Keep communication between development team and product owner
○ Manage cloud infrastructure AZURE
● Project: Numerade
Numerade is the virtual learning platform that adds more meaning back to STEM education.
○ Development new features
○ Solve issues reported
○ keep updated channels with new workflows.
During this time, I participated in the following projects:
● Project: 4insite
Main tasks executed in the project:
● Search and resolve undetected errors before QA testing.
● Analysis external tools for project future implementation
● Develop new features
● Support Product Owner with technical questions
● Update activities done on JIRA
● My biggest contribution to the project was a restructured location endpoint to improve application speed.
● Project: Squarespace
Main tasks executed in the project:
● Search and resolve undetected errors before QA testing.
● Analysis external tools for project future implementation
● Develop new features
● Support Product Owner with technical questions
● Update activities done on JIRA
● Backend Technical Lead
● Project: FSISAC
Main tasks executed in the project:
● Search and resolve undetected errors before QA testing.
● Analysis external tools for project future implementation
● Develop new features
● Support Product Owner with technical questions
● Update activities done on JIRA
● Deploy new features in AWS
● Project: IZIPAY
Main tasks executed in the project:
● Search and resolve undetected errors before QA testing.
● Analysis external tools for project future implementation
● Develop new features
● Support Product Owner with technical questions
● Update activities done on JIRA
● Backend Technical Lead
Technologies: Python 3, Nuxt, Vue, Nginx, Linux, Redis, Rabbit, Django 2.2, Graph, DRF, NodeJS, Postgres
● Project: ALICORP
Main tasks executed in the project:
● Search and resolve undetected errors before QA testing.
● Analysis external tools for project future implementation
● Develop new features
● Support Product Owner with technical questions
Technologies: Python 3, Vue, Nginx, Linux, Redis, Rabbit, Django 2.2, Graph, DRF, Postgres
■ Led the development of a platform aimed at virtual credit card services.
■ Key achievement: Implemented Experian Financial Evaluation Service, improving client evaluation processes and minimizing financial risks.
■ Technologies: Python 3, Vue, Nginx, Linux, Redis, RabbitMQ, Django 3.0, Django REST Framework (DRF), Postgres.
■ Directed the development of a custom ERP system for agricultural project quotations and maintenance.
■ Major contribution: Provided crucial analytical insights, realigning the client's understanding of ERP systems to ensure smooth project flow and successful implementation.
■ Technologies: Python 3, Nginx, Linux, Django 3.0, DRF, Postgres
■ Developed the VIH Android application, integrating AI algorithms to improve data collection efficiency in remote areas with limited internet connectivity.
■ Engineered offline functionalities leveraging AI models that preprocess and validate data locally, enabling effective data capture without internet dependency. ■ Implemented a synchronization mechanism to batch-upload the processed data to servers once connectivity is restored, using Python 2.7 and Java.
■ Applied machine learning techniques to classify and prioritize data, ensuring critical information is transmitted first during intermittent connectivity.
■ Utilized Postgres for local data storage on the device, optimizing for performance and data integrity in an offline environment.
■Technologies: Python 2.7, Java, Postgres.