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Full Stack AI & Automation Engineer | B.S. Computer Science graduate with 1+ years of production experience building Agentic AI, enterprise RAG pipelines, and full-stack web/mobile apps (React, Node, Python, FastAPI).
Currently an AI Developer at CodeCelix (Jun 2026–Present), following an AI/ML role at DevelopersHub Corp. Proven record architecting business-grade AI solutions: an AI Fashion Sales Assistant combining RAG with Computer Vision, an Autonomous Lead Generation Agent, AI Meeting & Email Intelligence systems, and multi-step AI Employees using LangChain, n8n, and custom Python backends.
Core Tech: Python, JavaScript, Java, SQL, React.js, Node.js, Express.js, FastAPI, MongoDB, LangChain, TensorFlow, Scikit-learn, OpenCV, Streamlit, RAG, LLM Agents, & n8n Automation.
The network for creativity
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When I started freelancing, I never imagined reaching milestones like this. There have been challenges, long nights, and plenty of lessons along the way.
Seeing that consistent effort pay off feels rewarding.
A big thank you to all my clients who trusted me with their ideas and everyone who has supported me along the way.
Still a long way to go, but today, I'm taking a moment to appreciate how far I've come. ❤️
What's a recent milestone that made you feel proud?
congrats on the milestone, consistency really does pay off 🔥
Full-Stack Developer & AI Automation Engineer
I build scalable web applications, SaaS platforms, mobile apps, custom dashboards, and AI-powered automation systems that turn complex business workflows into reliable digital products.
My core stack includes Next.js, React, Node.js, NestJS, Python, PostgreSQL, MongoDB, and AI APIs.
I specialize in turning ideas into production-ready systems—from architecture and development to deployment, automation, and optimization.
Available for:
AI Automation • SaaS Development • Web Development • Mobile Apps • Custom Dashboards • API Development • Business Automation
Seeing how you stitch AI APIs into custom dashboards really cuts the manual data wrangling. The stack choice keeps the deployment pipeline smooth.
Building AI automation that actually saves time. ⚡
Lately I've been working with AI agents, n8n, Python, APIs and RAG to turn repetitive business tasks into automated workflows.
From lead qualification and document processing to AI assistants and notifications — the goal is simple:
Less manual work. More intelligent workflows. 🤖
Currently building and experimenting with new automation projects. 🚀
#AIAutomation #AIAgents #n8n #RAG #Python
Turning lead qualification into an AI driven flow really cuts the back and forth of data entry. Automating document parsing with RAG makes the handoff to downstream steps feel instant.