Portfolio · LinkedIn · AlphaTales · Portfolio Repo

I build production-ready web products across backend architecture, AI workflow orchestration, real-time systems, authentication, and deployment.

At AlphaTales, I co-built an AI-native project planning platform from the ground up. The product converts raw ideas into validated requirements, deep research, PRDs, architecture plans, task breakdowns, and agent-ready Dev Packs for development teams.

My strongest work sits at the intersection of FastAPI backends, MongoDB data modeling, LangGraph / Azure OpenAI workflows, Next.js product UI, and event-driven execution with Dapr, RabbitMQ, and Socket.IO.

Open to local, remote, and international Full Stack Engineer, Backend Engineer, Founding Engineer, and AI SaaS Product Engineer roles.

Commercial product co-built from the ground up for idea validation, planning, and agent-ready development handoff.

Problem: Product teams often move from rough ideas to engineering work without enough validation, research, technical clarity, or structured task planning.

Approach: Built production backend and AI workflow systems that turn ideas into validated requirements, PRDs, stack recommendations, tasks, and downloadable Dev Packs. Integrated FastAPI, MongoDB, LangGraph, Azure OpenAI, Dapr Pub/Sub, RabbitMQ, Socket.IO, and WorkOS authentication.

Result: Shipped a real AI SaaS product with structured project planning flows, real-time workflow execution, and developer-ready outputs.

FastAPI MongoDB LangGraph Azure OpenAI Dapr RabbitMQ Socket.IO Next.js

Engineering tool for repository analysis, code understanding, and structured refactoring workflows.

Designed backend workflows for codebase ingestion, file analysis, structured outputs, and developer-facing AI assistance. Focused on reliable API contracts, orchestration, and practical engineering workflows.

Python FastAPI LangGraph LLM Workflows Code Analysis

OpenClaw-tagged agent workflow for prompt-first lead intelligence with JSON auditability and HubSpot handoff design.

Built an agent-style workflow that structures lead research, validates intermediate outputs, and keeps execution auditable through JSON artifacts. The project demonstrates how prompt-first agent systems can move from research to CRM-ready handoff.

OpenClaw AI Agents Prompt Engineering JSON Workflows Lead Intelligence HubSpot

Mobile-first nutrition and fitness app focused on practical meal planning and user-friendly tracking.

Built Flutter screens, app flows, and product logic for a consumer health experience. The project strengthened my mobile UI, product thinking, and cross-platform development work.

Flutter Dart Mobile App Product UX

Final-year academic project for reading text from images and improving accessibility.

Built an OCR-based workflow to extract text from images and support assistive reading use cases. This was my undergraduate final-year project, so I present it as academic work, not commercial production work.

OCR Python Accessibility Final-Year Project

• Building reliable AI SaaS workflows with clear backend contracts.
• Improving agent execution with validation, observability, and handoff-ready outputs.
• Shipping full-stack product experiences that feel simple for users and practical for engineering teams.