AI Agents · RAG · Voice AI · Python · FastAPI · LangChain · AI SaaS
I build practical AI-powered applications and automation products with Python, APIs, databases, web interfaces, and Docker. My work focuses on turning useful AI capabilities into software people can actually use.
- 🔭 Building AI-powered SaaS and automation projects.
- 🤖 Focused on AI agents, RAG applications, Voice AI, and LLM integrations.
- 🐍 Building backend services and APIs mainly with Python and FastAPI.
- 🌐 Comfortable working across backend, databases, frontend, workers, and Docker.
- 🚀 Interested in turning repetitive business processes into useful AI software.
- 🤖 AI Agents — assistants that use tools, APIs, databases, and business workflows.
- 🔎 RAG Applications — AI assistants grounded in documents, private knowledge, and search.
- 🎙️ Voice AI — voice applications combining speech-to-text, LLMs, tools, and text-to-speech.
- ⚙️ AI Automation — workflows for content, research, data processing, and business operations.
- 🌐 AI SaaS Products — full-stack products combining AI features, backend services, databases, and deployment.
Tech: AI automation · Python · APIs · TTS · media workflows · Docker
AI-powered social media automation platform designed to automate content generation, media processing, scheduling, and publishing workflows across multiple platforms. The system combines AI generation, voice/media processing, APIs, scheduling, backend services, databases, and containerized infrastructure.
The public repository contains the project showcase; the active application is maintained privately.
Tech: Python · AI · browser automation · SQLite · Docker
Python-based research automation platform that collects and analyzes YouTube search data to identify content opportunities using evidence, scoring, and AI-assisted classification. It includes resumable workers, browser automation, SQLite persistence, reporting, and failure recovery.
Tech: Python · FastAPI · Next.js · PostgreSQL · Redis · Docker
AI-powered commerce platform designed to help sellers research products, analyze opportunities, generate product content, plan AI visuals, and prepare marketplace-ready product packages. It demonstrates AI automation, backend services, a modern web dashboard, background processing, and structured product-intelligence workflows.
- Google AI Fundamentals — completed through Coursera.
- System Administration and IT Infrastructure Services — completed through Google/Coursera, covering server, network, operating-system, and cloud administration.
- Ethical Hacker — Cisco Networking Academy certificate, with a verified Credly badge.
- Next: preparing for the Red Hat Certified System Administrator (RHCSA) exam.
I am building toward a career where security, system administration, and AI work together. In an authorized internal security assessment for MAD, I helped identify and address a sensitive document-access weakness; the detailed findings remain confidential.
Open to AI automation, agent, RAG, Voice AI, AI SaaS, backend/API, and security-focused systems work.
The skyline is generated from GitHub contribution data by a scheduled workflow in this repository. It is refreshed weekly and can be regenerated on demand. The native GitHub contribution calendar remains untouched.