khura237
Junior Ai Engineer
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I’m an AI Engineer passionate about transforming complex problems into scalable, intelligent solutions. My work focuses on machine learning, LLM integration, and backend automation — building systems that bridge AI innovation with real-world impact.
I’ve developed and deployed end-to-end AI pipelines using Python, FastAPI, and Docker, integrating LLMs (Gemini, GPT) for intelligent text processing, workflow automation, and data extraction. One of my key projects, Paperize, automated document processing using OCR and NLP, converting raw files into structured, actionable insights.
Beyond model development, I’m driven by clarity, collaboration, and building systems that are efficient, maintainable, and aligned with business goals. I’m continuously exploring new frontiers in LLM applications, AI-powered APIs, and automation — with a vision to create technology that simplifies human work and scales innovation.
I’ve developed and deployed end-to-end AI pipelines using Python, FastAPI, and Docker, integrating LLMs (Gemini, GPT) for intelligent text processing, workflow automation, and data extraction. One of my key projects, Paperize, automated document processing using OCR and NLP, converting raw files into structured, actionable insights.
Beyond model development, I’m driven by clarity, collaboration, and building systems that are efficient, maintainable, and aligned with business goals. I’m continuously exploring new frontiers in LLM applications, AI-powered APIs, and automation — with a vision to create technology that simplifies human work and scales innovation.
Experience: 2 years
Yearly salary: $22,000
Hourly rate: $20
Nationality: 🇮🇩 Indonesia
Residency: 🇮🇩 Indonesia
Experience
AI Engineer
Chup Online 2024 - 2025
Designed and deployed end-to-end AI microservices using FastAPI for OCR, text summarization, and chatbot modules. Built scalable document automation and analytics pipelines integrating Gemini and GPT APIs, improving data-processing efficiency by over 70%. Engineered LLM-based assistants to automate medical note interpretation and patient-data summarization. Implemented Docker-based deployment and CI/CD pipelines (GitHub Actions) for reliable production delivery. Developed Zapier-connected workflows to trigger AI processes from Google Drive uploads, enabling real-time automation. Collaborated cross-functionally with backend and product teams to transform research prototypes into production-grade AI systems.
Computer Lab Assistant
Universitas Ahmad Dahlan 2021 - 2022
Mentored students on Python programming and data analysis projects. Assisted in developing backend and database practicums to enhance learning outcomes.
Skills
backend
data-entry
data-science
machine-learning
python
sql
ai
english