Lead Full Stack & AI Software Engineer

Pablo Alejandro Sanchez Moncada

***********@*****.*** +52-324-***-**** Ahuacatlán, Nayarit, México linkedin.com/in/pablo-alejandro-s-77b620419 github.com/proteus1208 SUMMARY

Full Stack & AI Engineer with 10+ years of experience in software engineering, with 2+ years in leadership and mentoring roles. Expert in JavaScript/TypeScript, Python, and Java with strong skills in debugging, code reviews, and Agile methodologies. Proven track record of leading teams, mentoring engineers, and delivering successful software projects. Bilingual (English/Spanish) with strong organizational and communication skills. TECHNICAL SKILLS

Languages: JavaScript, TypeScript, Python, Java, C#, SQL Frontend Development: React, Next.js, Vue.js, Angular, TypeScript Backend Development: Node.js, Express, Python (FastAPI, Django), Java (Spring Boot), .NET Core, REST APIs, GraphQL, Microservices

Databases: PostgreSQL, MySQL, MongoDB, Redis, SQL Server Cloud & DevOps: AWS (ECS, Lambda, S3, SageMaker, Glue), GCP, Azure, Docker, Kubernetes, CI/CD (GitHub Actions), Git

Leadership: Team Leadership, Mentorship, Code Reviews, Career Development, Technical Strategy Methodologies: Agile, Scrum, Project Management, Risk Mitigation, Resource Allocation AI & ML: LLM APIs (OpenAI, Anthropic), RAG (Retrieval-Augmented Generation), LangChain, MLflow PROFESSIONAL EXPERIENCE

Lead Software Engineer (Contract), Freelancer 03/2025 – Present Remote

• Architecting full-stack applications with Next.js, React, and TypeScript, integrating AI-powered features to enhance user interactivity and decision-making.

• Building scalable backend microservices in Node.js and Python to serve LLMs via REST and GraphQL APIs, enabling intelligent document processing and conversational interfaces.

• Implementing RAG pipelines with LangChain, PostgreSQL (pgvector), and Redis for vector storage, enabling 40% faster and more accurate support ticket resolution.

• Containerizing AI services with Docker and building robust CI/CD pipelines (GitHub Actions) for automated deployment and model versioning.

• Designing real-time data visualization dashboards with React that display predictive analytics from custom ML models, improving user engagement by 25%.

• Developing agentic AI workflows using LangChain for multi-step reasoning and task automation across complex business processes.

• Deploying and managing services across AWS, GCP, and Azure for scalable AI inference and cloud-native operations.

• Supported and guided a team of software engineers with code reviews and technical leadership.

• Provided mentorship, feedback, and career development planning for team members. Senior Software Engineer, ReachLink 11/2024 – 02/2025 Boca Raton, Florida, USA

• Led full-stack development and integrated AI capabilities into a healthcare platform to improve clinical workflows, patient engagement, and predictive analytics.

• Developed an AI-powered clinical assistant with Python and FastAPI, analyzing patient data to generate triage recommendations and reducing manual assessment time by 20%.

• Engineered and deployed a predictive churn model with Scikit-learn and XGBoost, using MLflow for tracking, LLM evaluation, and serving predictions via REST API.

• Optimized patient-facing Next.js interfaces with SSR and integrated AI-driven chatbots using OpenAI APIs, improving patient satisfaction by 15%.

• Deployed all services on AWS (ECS, Lambda, S3, SageMaker) and built scalable data pipelines with AWS Glue for real-time feature store updates and automated model retraining.

• Implemented comprehensive LLM evaluation frameworks to monitor response quality, accuracy, and hallucination rates across all AI features.

• Collaborated with cross-functional teams to define requirements and ensure successful project delivery.

• Managed project tasks, priorities, and timelines to meet project goals. Full-Stack Developer, Shping 02/2023 – 10/2024

Melbourne, Australia

• Spearheaded development of an AI-driven product authentication platform using React, Next.js, Node.js, and Python.

• Integrated ML models via FastAPI and Django to analyze supply chain data, providing real-time risk scoring and automated fraud detection.

• Led migration of legacy systems to TypeScript, implementing ETL pipelines for structured data feeding into anomaly detection algorithms.

• Containerized the full application stack with Docker and implemented CI/CD pipelines for automated staging and production deployments.

• Integrated third-party blockchain and supply chain APIs using GraphQL, enhancing AI models' predictive power by 30%.

• Built agentic AI systems for automated supply chain monitoring, enabling proactive alerts and decision support.

• Monitored project timelines, resource allocation, and budgets for efficient execution.

• Proactively identified and mitigated project risks as they arose. Full-Stack Developer, Kueski 11/2018 – 01/2023

Guadalajara, Jalisco, Mexico

• Led development of financial technology platforms using React, Vue.js, Angular, Node.js, Python, and Java.

• Developed a credit scoring microservice with Python and Scikit-learn, processing high-volume financial data for real-time risk assessments.

• Designed and optimized PostgreSQL and MongoDB databases to support a feature store (Feast) for efficient ML model training and serving.

• Implemented Redis caching for frequent model predictions, reducing API response times by 60% during peak usage.

• Deployed applications on AWS, GCP, and Azure using Docker containers for consistent environments across development and production.

• Led agile development cycles, collaborating with data scientists to translate business requirements into production-grade AI features, driving 10% improvement in loan approval accuracy.

• Led and mentored engineers, promoting a culture of innovation and continuous learning.

• Contributed to software engineering strategy and technology assessments. Software Developer, TektonLabs 06/2015 – 10/2018

Tepic, Nayarit, Mexico

• Built enterprise web applications using React, Vue.js, and Angular for dynamic frontend experiences.

• Developed backend services with Node.js, Python, and Java, implementing RESTful APIs with Express and Spring Boot.

• Managed PostgreSQL and MySQL databases, designing schemas and optimizing queries for business intelligence applications.

• Containerized applications with Docker and implemented CI/CD pipelines to automate testing and deployment workflows.

• Collaborated with senior engineers to refactor legacy codebases and modernize applications with TypeScript and Next.js.

• Collaborated with cross-functional teams following software development best practices.

• Demonstrated strong organizational and time management skills. EDUCATION

Bachelor of Science, Computer Science 08/2011 – 05/2015 The University of Hong Kong

ADDITIONAL INFORMATION

• Languages: Spanish (Native), English (Fluent)

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