I'm a Software Engineer with 8+ years of experience merging algorithmic rigour with enterprise-scale software delivery. I specialize in the architectural design of Agentic AI, moving beyond generative content to build autonomous, tool-integrated workflows that prioritize reasoning and execution. As a leader of high-scale software engineering portfolios, I focus on turning complex AI logic into predictable, production-ready systems built on a foundation of SOLID principles and robust architectural patterns.
My work is centered on the intersection of technical leadership and advanced AI engineering:
- Agentic AI Engineering: I architect autonomous reasoning workflows and Agentic systems utilizing Python and PGVector. My focus is on LLM orchestration, RAG pipelines, and ReAct patterns to build systems that execute multi-step tasks through tool-integration workflows.
- Technical Leadership & Portfolio Management: I lead software engineering portfolios by managing the end-to-end SDLC and ensuring technical execution aligns with business objectives. This includes leading technical discovery sessions and drafting comprehensive enterprise proposals for complex platforms.
- Enterprise Architecture: I specialize in high-scale systems design, utilizing CQRS and Event Sourcing patterns to solve complex data retrieval challenges. I leverage Java Spring Boot, Node.js, and various NoSQL databases like MongoDB and Neo4j to build resilient, production-ready backends.
- Engineering Excellence & Mentorship: I'm a strong advocate for technical rigour, enforcing SOLID principles and standardized CI/CD pipelines to ensure 100% deployment consistency. I actively mentor junior engineers, guiding their technical direction and professional growth.
- Cloud & Ops: I execute multi-cloud strategies, leveraging AWS for high-performance event-driven patterns and GCP for efficient identity management. I focus on automating these environments via Terraform (IaC) and managing container orchestration for AI services through Docker and Kubernetes.
Here are some of the technologies and tools I frequently work with:
π These projects highlight my dual role in defining high-level architectural vision and managing the execution of complex engineering workstreams.
- Fiscal: Enterprise Financial Ecosystem
- Description: A dynamic platform designed to offer a seamless tax experience with secure payment processing.
- Technologies:
Java,Spring Boot,Apache Maven,Git,Neo4j,MongoDB,GraphQL - Highlights: Implemented CQRS with Event Sourcing for secure transactions.
- Fiscal: Employee Compensation
- Truth Table: AI-Driven Reasoning Platform
- Description: A machine learning model for predicting accuracy in the quality of being correct.
- Technologies:
Python,Django,HTML5,Git,TensorFlow,PyTorch,PostgreSQL,PGVector,Docker,CSS3 - Highlights: Provided actionable insights through data structures, algorithms, and data visualization.
- Truth Table
- Flight Booking System
- Description: A filght booking simulation demonstrating a scalable and cost-efficient payment system.
- Technologies:
C++ - Highlights: Designed for high concurrency and low latency.
- Flight Booking System
π― I'm always open to collaborating on interesting projects or discussing new ideas!
- Currently diving deeper into Ethical AI and its implications for responsible technology development.
- Exploring Agentic AI and its potential to build autonomous, goal-driven systems for complex problem-solving.
- My goal for the next year is to align with my interest in sustainable technology.
When I'm not immersed in code, you can find me binge-watching movies or intensely following sports, especially those with incredible athletes or super-fast heroes like Barry Allen who need to eat constantly. I also enjoy speaking to intelligence, much like Cyborg connecting with the world's data in Zack Snyder's Justice League. As Silas Stone once said, 'I know the requirements, I wrote them.'
"Develop Apps not Traps"