Selected Work
From enterprise observability and AI assistants to marketplaces, blockchain systems, and finance-oriented prototypes, these projects reflect how I think, build, and adapt.
Outcome-backed
Execution
Cross-industry
Domain
Production-grade
Standard
Impact
Focus
10+
Major builds
4+
Years of code
300M+
Events optimized
Global
Client base
Project library
A deeper look into the architecture, challenges, and results of selected builds.
A graph-shaped AI-native workspace connecting procurement, contracting, and compliance evidence so commercial conversations can be traced into execution-ready workflows.
An AI-agent-driven security assessment platform focused on vulnerability detection, monitoring, and explainable security insight under hackathon constraints.
A final-year project exploring smart tokens that enable buying, selling, lending, and time-bound trading of gaming assets with profit-sharing mechanics.
Migrated notification workflows to SQS, Lambda, and Firebase while improving backend reliability and pushing a large JavaScript codebase toward TypeScript and server-compatible React patterns.
Modernized a legacy codebase into a clearer monorepo and microservice setup using Yarn workspaces, Turborepo, Docker, AWS SAM, and stronger development standards.
Intelligent assistants capable of querying backend systems, databases, and user-defined workflows while staying grounded in explicit operational constraints.
Responsive web, mobile, and backend systems for a vehicle marketplace serving consumer and business traffic across products, services, and wholesalers.
A distributed observability and event analytics platform for enterprise clients, designed to process large event streams, power dashboards, and surface meaningful operational insight.
Developed a quantitative trading platform in C++ and Python executing multi-leg options strategies within microsecond latencies.
Built a customized RAG system for a wealth management firm, allowing advisors to query thousands of pdf reports with cited sources and 99% accuracy.
Designed a distributed data ingestion pipeline to replace a legacy monolith, reducing query times by 80% and saving $40k/mo in infrastructure costs.
Working Stack
A cross-section of tools used to deliver production systems.
Methodology
First-principles architecture
Iterative, feedback-driven delivery
Emphasis on observability and scaling
“I approach projects with a focus on durability, performance, and clear alignment with business goals.
Lifecycle
A structured path from discovery to deployment.
Step 01
Mapping out requirements and success metrics.
Step 02
Designing the system for scale and durability.
Step 03
Building with speed and high code standards.
Step 04
Ensuring smooth transition to production.
Mapping out requirements and success metrics.
Designing the system for scale and durability.
Building with speed and high code standards.
Ensuring smooth transition to production.
Let's discuss how I can help bring it to life with the right technical direction.