SYSTEM PROFILEFULL-STACK × APPLIED AI

I build softwarethat can reason,retrieve & ship.

Software Engineer building full-stack and applied AI systems with Python, FastAPI, Next.js, TypeScript, PostgreSQL, and production LLM workflows. I build complete products where AI is connected to real data, workflows, databases, security, and measurable application behavior.

04Production-minded
case studies
02Surfaces
Web + Android
01Focus
Systems that hold up
LLMGROUNDING
DBPOSTGRES
APIFASTAPI

SELECTED SYSTEMS

Built beyond
the happy path.

Four products that move from applied AI investigation to secure SaaS, privacy-first analytics, and cross-platform product engineering.

02 / 04Full-Stack / SaaS Architecture

SupportFlow

Multi-tenant customer support SaaS

A tenant-safe support platform with distinct administrator, agent, and customer workflows built on PostgreSQL row-level security.

RBAC, private attachments, real-time collaboration, ticket operations, SLA tracking, and analytics share one secure data model.

supportflow.system // preview ACTIVE
SupportFlow multi-tenant customer support and SLA tracking interface mockup
03 / 04AI-Enabled Full Stack

SignalRoom

Anonymous feedback & AI analytics

A privacy-first feedback platform that transforms survey responses and private course material into evidence-grounded recommendations.

Single-use response codes, configurable surveys, secure document analysis, dashboards, and AI recommendations work as one product.

signalroom.system // preview ACTIVE
SignalRoom anonymous feedback analyzer and AI recommendations interface mockup
04 / 04AI Product / Web + Mobile

MuscleBot

AI fitness & nutrition product

A web and Android product combining workout tracking, nutrition logging, progress analytics, and AI-generated planning workflows.

1,300+ exercises, subscriptions, push notifications, Health Connect, and Capacitor packaging take it beyond a browser-only demo.

musclebot.system // preview ACTIVE
MuscleBot cross-platform AI fitness, nutrition, and workout logging interface mockup

ENGINEERING RANGE

From model call
to maintainable system.

I work across the boundaries where AI behavior, backend reliability, secure data, and product experience have to agree.

01

AI & LLM Systems

LLM integration, structured generation, hybrid retrieval (pgvector + FTS), grounding, prompt design, evaluation, and AI workflows.

02

Backend Architecture & Data

FastAPI services, PostgreSQL data models, durable queues (FOR UPDATE SKIP LOCKED), multi-tenancy, RLS, retries, and RPCs.

03

Security & Correctness

Row-Level Security, authorization, tenant isolation, zero-identity models, single-use HMAC codes, and atomic concurrency locks.

04

Full-Stack Product Engineering

Polished web interfaces with Next.js 16 & React 19, TypeScript, real-time workflows, Recharts analytics, and responsive design systems.

05

Mobile & Platform Engineering

Capacitor 8 Android packaging, Health Connect integration, RevenueCat subscriptions, FCM push notifications, and production deployments.

INPUTCONSTRAINTSEVIDENCEOUTPUT

BUILD PHILOSOPHY

“Useful AI begins where the demo ends.”

The interesting work is not wiring up one model call. It is building the retrieval, validation, security, queues, tests, and interfaces that make the result dependable enough to use.

Evidence-groundedSecurity-awareDeterministic boundariesObservableEvaluated

GET IN TOUCH

Have a system worth
building together?

I’m available for full-time engineering roles, high-impact contract builds, and applied AI systems. Send a direct inquiry below—messages are automatically delivered to my primary inbox.

SYSTEM INTAKE // DIRECT MESSAGE AUTOMATED INBOX DISPATCH
PROFESSIONAL NETWORK

LinkedIn Chat

Connect directly for professional opportunities, network conversations, and quick messaging.

OPEN SOURCE & CODE

GitHub Profile

Review codebases, architectural implementations, and public project repositories.