Senior Quantitative Software Engineer - C# .NET Core - AWS Expert

CARLOS ALEXIS CHIN DE LOS SANTOS

Senior Quantitative Software Engineer C# .NET Core AWS

Location: Puerto Morelos, Quintana Roo, Mexico

Email: ********@*******.***

Mobile: +52-744-***-****

LinkedIn: https://www.linkedin.com/in/carlos-alexis-c-0823343ab/ Summary

Pioneering the fusion of quantitative analysis and robust software engineering to construct high-performance platforms that drive financial decision-making and operational efficiency. As a Senior Quantitative Software Engineer, I specialize in architecting backend systems that translate intricate mathematical models into scalable, production-ready solutions for complex data environments. My expertise centers on leveraging C# and .NET Core alongside AWS infrastructure to optimize algorithmic processes, ensuring seamless integration of financial logic into microservices architectures that deliver actionable insights with precision and speed.

Experience

Senior Quantitative Software Engineer

Jellysmack, New York, United States – Remote Mar 2025 — Present

Architected a scalable platform for aggregating and analyzing cross-border content performance metrics to empower revenue optimization decisions for global video creators, designing a robust data ingestion and processing pipeline that handled millions of daily events from diverse streaming APIs while ensuring data integrity and low-latency access for downstream analytics.

Engineered backend services using C# and .NET Core to implement quantitative algorithms for performance forecasting and monetization scoring, optimizing data transformation logic to reduce processing latency by 40% and enabling accurate KPI predictions across multiple content distribution channels.

Developed and deployed serverless components on AWS Lambda and AWS Step Functions for orchestrating complex ETL workflows, integrating with S3 and Redshift to manage high-volume metadata streams and deliver near-real-time insights for growth strategy formulation.

Optimized database interactions with SQL Server through advanced query tuning and indexing strategies, diagnosing and resolving bottlenecks in large-scale analytical queries to support efficient reporting on creator earnings and engagement trends.

Integrated microservices architecture for API endpoints serving financial analytics using ASP.NET Core and RESTful protocols, ensuring secure data exchange and sub-millisecond response times for compute-heavy portfolio simulations in dynamic market conditions.

Profiled and refined algorithmic efficiency in rebalancing routines for content revenue allocation, applying computational complexity analysis to eliminate redundant calculations and enhance overall system throughput under peak loads.

Quantitative Software Engineer

Tradervue, Denver, Colorado, United States - Remote Apr 2022 — Mar 2025

Designed an advanced analytics engine for processing trade execution data and generating performance reports for retail and institutional traders, architecting a modular system that ingested brokerage feeds, normalized position histories, and computed risk-adjusted metrics to facilitate pattern recognition and strategy refinement.

Translated quantitative trading signals into production code with C# and .NET Framework, building core modules for trade tagging and simulation that incorporated statistical models to evaluate execution quality and profitability across diverse asset classes.

Implemented scalable data storage solutions leveraging MongoDB for flexible schema handling of annotated trade logs and DynamoDB for high-throughput access to real-time position data, streamlining queries for historical performance analysis.

Led the integration of microservices for trade import and validation pipelines using AWS ECS, ensuring fault-tolerant processing of variable-volume imports and reducing error rates in data synchronization with external brokerage systems.

Conducted rigorous performance profiling on algorithmic components for volatility-based risk assessments, optimizing data structures and loop efficiencies to achieve sub-second computation times for large portfolio backtests.

Full Stack Quantitative Developer

KIO Networks MásNegocio, Mexico City, Mexico Jan 2020 — Apr 2022

Engineered a comprehensive digital transformation platform for enterprise compliance and operational reporting, constructing an end-to-end system that automated workflow orchestration, data validation, and secure delivery of business intelligence dashboards to support regulatory adherence and decision-making processes.

Developed robust backend logic in C# and .NET Core for processing structured financial datasets, implementing validation rules and aggregation functions to ensure accuracy in multi- tenant environments with stringent security requirements.

Deployed cloud-native applications on AWS utilizing API Gateway and Lambda for handling API requests, integrating with SQL Server to manage relational data flows and enable optimized retrieval for analytical reporting.

Optimized query performance across hybrid data systems including DynamoDB for semi- structured logs, applying indexing and partitioning techniques to accelerate complex joins and reduce latency in operational dashboards.

Full Stack Developer

NEORIS, Mexico City, Mexico Feb 2016 — Jan 2020

Direct the development of enterprise web applications for financial services clients, focusing on modular architectures that supported integration with legacy systems and facilitated scalable deployment across international operations.

Built full-stack features using C# and ASP.NET for handling transactional data processing, incorporating business rule engines to automate workflows and ensure compliance with regional financial standards.

Integrated database solutions with SQL Server for storing and querying customer portfolios, designing schemas that optimized for concurrent access and reporting on asset performance metrics.

Collaborated on cloud migrations to AWS services like S3 for document storage, enhancing data accessibility and backup strategies for mission-critical consulting projects. Education

University of Technology, Sydney 2013 — 2015

Bachelor of Science Computer Science

Skills

Languages: C#, Python, SQL, JavaScript

Frameworks: .NET Core, ASP.NET Core, Entity Framework

Databases: SQL Server, MongoDB, DynamoDB, Redshift

Cloud & DevOps: AWS Lambda, AWS Step Functions, AWS ECS, AWS S3, API Gateway, Docker, Terraform

APIs & Integration: RESTful APIs, JSON, OpenAPI, Microservices

Quantitative Tools: Statistics Libraries, Algorithmic Optimization, Portfolio Modeling

Testing & Quality: Unit Testing, Integration Testing, Code Profiling

Tools: GitHub Actions, Confluence, CloudWatch

Soft Skills: Cross-Functional Collaboration, Technical Documentation, Problem Diagnosis, Agile Methodologies

Architecture: Microservices Architecture, Serverless Computing, Data Pipelines, Performance Optimization

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