- Built an end-to-end agentic data workflow using Python, Kafka, Spark Structured Streaming, Snowflake, dbt, LangGraph, and OpenAI tool calling; implemented raw-event ingestion, validation/deduplication, valid/invalid routing, and Kafka DLQ handling.
- Created governed agent diagnostics against Snowflake analytics data with a read-only SQL tool, destructive-SQL blocking, pipeline-contract checks, and automated pytest coverage; validated live Snowflake integration.
- Modeled RAW-to-analytics transformations with dbt staging/fact models and automated data tests, demonstrating version-controlled ELT and production-style data quality controls.
ANGEL MARTIN S. MANALANSAN, DBA, ITIL, LSSGB
SENIOR FULL-STACK AI ENGINEER | AI/LLM APPLICATIONS | CLOUD & DATA PLATFORMS
Pasig City, Philippines | +63 917 149 6988 | amm.circle@gmail.com | GitHub | Portfolio
Professional Summary
Senior software, data, and cloud engineer with 20+ years across application development, enterprise systems, IT operations, consulting, and technical leadership. Hands-on work includes Python and SQL data pipelines, Kafka event streaming, Spark Structured Streaming, Snowflake, dbt transformations/testing, LangGraph agent workflows, OpenAI tool calling, REST APIs, Docker, Terraform, AWS, and CI/CD. Builds AI-enabled and agentic solutions that connect enterprise data sources, automate diagnostics and data operations, enforce governed read-only access, and translate business requirements into secure, production-oriented systems.
Technical Skills
Agentic AI & LLMLangGraph, LangChain concepts, OpenAI tool calling, LLM-powered applications, AI agents, governed diagnostics, prompt/tool workflows, Claude Code, AI-assisted development
Data EngineeringPython, SQL, Apache Kafka, Spark Structured Streaming, Snowflake, dbt, data ingestion, validation, deduplication, DLQ patterns, ELT/ETL, data modeling, pipeline testing
Cloud & InfrastructureAWS EC2, RDS, S3, Route 53, VPC, IAM, load balancing, Terraform, CloudFormation, Docker, CI/CD, Microsoft Azure; GCP familiarity
Full Stack & APIs.NET/C#, ASP.NET Core, FastAPI, Angular, ReactJS, Next.js, Node.js/Express, TypeScript, JavaScript, REST APIs, microservices, JWT, RBAC
Databases & AnalyticsSQL Server, PostgreSQL, MySQL, Oracle, DynamoDB, Power BI, Tableau, Telerik Reports, Excel, Python/Jupyter, R, IBM SPSS
Engineering & DeliveryGit/GitHub, pytest, automated testing, Agile/Scrum, Jira, SDLC, UAT, technical documentation, monitoring, incident troubleshooting, stakeholder management
Selected Technical Projects
- Developed and tested an AI-assisted engineering application using FastAPI, Python, Next.js, TypeScript, and pytest; expanded automated tests and passed the project quality gate.
- Used Git/GitHub pull-request workflows, structured debugging, and AI-assisted development to improve backend insight-generation logic and engineering reliability.
- Built healthcare-oriented AI prototypes spanning conversational retrieval, secure API workflows, RBAC/authorization concepts, patient/doctor search, auditability, and cloud-ready deployment patterns.
- Applied Python/FastAPI, modern web UI stacks, Docker, REST integration, and AI/LLM patterns to demonstrate practical, domain-focused intelligent applications.
Professional Experience
- Design, develop, and maintain enterprise applications using Angular, Node.js/Express, .NET/C#, ASP.NET Core, Python, SQL Server, PostgreSQL, and RESTful APIs.
- Build AI-enabled workflows, automation, data processing, secure authentication/authorization, and cloud integrations; translate business requirements into maintainable application and data architectures.
- Deploy and operate AWS workloads using EC2, RDS, IAM, VPC/networking and related services; support scalability, monitoring, troubleshooting, security, testing, and Git-based delivery.
- Lead requirements analysis, solution design, code quality, testing, deployment, technical documentation, and collaboration across business, QA, infrastructure/DevOps, and engineering stakeholders.
- Delivered enterprise insurance application/reporting solutions using C#/.NET, ASP.NET Core, SQL Server/T-SQL, Telerik Reporting, and AWS infrastructure; supported reporting reconciliation, data quality, access controls, UAT, and production rollout.
- Advised stakeholders on technology strategy, requirements, process improvement, migrations, security, documentation, training, and change management.
- Taught web application development, databases, information systems, IT infrastructure, project/operations management, and business process improvement; mentored applied technical projects.
- Led faculty/program planning, curriculum development, academic administration, and accreditation preparation.
- Led architecture, development, testing, deployment, Agile/Scrum delivery, application integrations, production support, code quality, and technical mentoring for enterprise applications.
- Supported enterprise applications, reporting, enhancements, UAT, integrations, data quality, access control, and operational users.
- Managed IT operations, infrastructure, networks, application/database servers, security, vendors, budgets, and hospitality platforms spanning reservations, front office, warehouse, POS, and related integrations.
- Built foundational experience in application support, systems administration, networking, customer technical support, reporting, client management, and team supervision.
Education & Certifications
- Doctor of Business Administration — St. Paul University Manila, 2024 (Cum Laude)
- Master of Business Administration — De La Salle University, 2018
- BSBA, Major in Information Systems Management — De La Salle-College of Saint Benilde, 2003 (Dean's Lister)
- ITIL 4 Foundation — Quint Wellington Redwood, 2019 | Lean Six Sigma Green Belt — iAcademy, 2014 | Certified Blockchain Business Specialist — UBPXcellerator, 2020
Updated September 2026 • Web version based on the current Senior Full-Stack AI Engineer resume.