I build AI-powered systems that automate real workflows and scale efficiently.

Focused on practical AI, automation, and scalable web applications.

Currently seeking a technical internship in AI & software engineering.

Project interface preview

Recent build snapshot: AI workflow dashboard designed for speed, clarity, and scalable automation.

Built 10+ practical projects
Focused on AI automation systems
Experience solving real workflow bottlenecks

Featured Projects

A focused set of systems that show end-to-end execution: problem framing, architecture decisions, and measurable outcome.

AI Document Assistant

Problem: Teams spent too much time manually searching long documents.

Solution: Built a retrieval system that extracts context and answers user questions instantly.

Technical Approach: Python backend, embeddings pipeline, vector retrieval, and a lightweight chat interface.

Outcome: Reduced document lookup time and improved daily workflow speed.

PythonRAGEmbeddingsSupabase

Voice-to-Content Engine

Problem: Capturing ideas from meetings and voice notes was inconsistent and slow.

Solution: Developed an AI pipeline that transcribes speech and structures it into usable content.

Technical Approach: Audio ingestion API, transcription service, prompt orchestration, and storage for reusable outputs.

Outcome: Automated repetitive documentation and improved publishing turnaround.

PythonAPIsPostgreSQLVercel

Market Research Summarizer

Problem: Manually collecting and summarizing web research across sources was time-intensive.

Solution: Built a workflow that gathers source data, processes content, and generates concise summaries.

Technical Approach: Data collection scripts, normalization, summarization prompts, and API-first delivery.

Outcome: Saved hours of repetitive analysis and improved consistency of reports.

JavaScriptNode.jsNLPAutomation

Workflow Automation Dashboard

Problem: Repetitive status updates and manual process checks slowed internal teams.

Solution: Created a dashboard that tracks workflow states and triggers automated actions.

Technical Approach: Event-driven backend, webhooks, database triggers, and role-based front-end views.

Outcome: Improved process visibility and reduced manual follow-up work.

SupabasePostgreSQLWebhooksHTML/CSS

Tech Stack

Languages

  • Python (AI, automation)
  • JavaScript

Frontend

  • HTML, CSS, JavaScript
  • React / Next.js (project-dependent)

Backend & Data

  • Supabase
  • PostgreSQL
  • REST APIs

AI Systems & Tools

  • RAG pipelines
  • Embeddings + local LLM workflows
  • Git, Vercel

Engineering Philosophy

  • Build systems, not scripts.
  • Automate repetitive work wherever possible.
  • Keep architectures simple, clear, and scalable.
  • Focus on practical usefulness over hype.

About

I focus on building practical AI systems that automate tasks and improve efficiency.

I work with lightweight, scalable tools to design solutions that solve real workflow problems.

I enjoy turning ideas into working systems and continuously improving how they perform.

Want to work together?

I’m currently looking for an internship where I can contribute to real-world AI and software projects.

Contact

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