AI DEVELOPER

PT Nawadata Solutions

March 2023 – Present

2+ Years

Designed and developed a scalable LLM chatbot backend using RAG architecture with LangChain, LangGraph, and FastAPI, supporting both local (Ollama, vLLM) and API-based models (OpenAI, Gemini).

Built a document parser and retriever API for a RAG system with ~95% retrieval accuracy.

Developed a near real-time fraud detection system using incremental learning and automatic scaling with Ray.

Created a flexible AutoML engine using FastAPI and Scikit-learn for various use cases.

Improved Anti-Money Laundering (AML) model accuracy by up to 90% through enhanced feature engineering and model selection.

Developed active and passive face liveness detection systems achieving sub-second recognition performance on millions of face images.

Built a prototype Applicant Tracking System (ATS) with spaCy and Sentence Transformers for NER and semantic matching.

Reduced manual data entry by 95% using NER and improved Vision OCR accuracy on damaged documents from 65% to 95%.

Collaborated with cross-functional teams to integrate prototypes into production systems, focusing on scalability and user experience.

Computer Vision Developer

PT Garis Posisi Nusantara

June 2021 – March 2023

1 Year 9 Months

Implemented Mask R-CNN on drone and satellite imagery for building and vehicle detection as part of a Geospatial Intelligence project.

Developed automated PDF reporting tools with instance segmentation maps and heatmaps, reducing processing time by 90%.

Implemented U-Net for land use classification and automated PDF reports with segmented maps and area analysis.

Created a system to extract ship positions from Maxar satellite imagery for regulatory monitoring and analysis.

Led a team to deliver a GIS-based Geospatial Intelligence project on time and according to client requirements.

Trained over 20 client staff on GIS tools, improving their technical capabilities.

Worked with defense and security stakeholders to gather requirements and deliver customized GIS solutions.

Ensured code quality and maintained project documentation for long-term scalability and collaboration.

Speaking Engagements

Guest Lecturer

Universitas Catur Insan Cendikia

Machine Learning and LLM Course

February 8, 2025

Delivered an in-depth lecture on Large Language Models (LLMs), covering their architecture, fine-tuning, and deployment.

Shared real-world development practices and technical insights from hands-on AI development experience.

Provided practical guidance on building production-grade AI systems.

Public Speaker

Universitas Catur Insan Cendikia

HIMATIF Anniversary Event “Artificial Intelligence in Shaping the Future”

December 21, 2024

Presented strategies for thriving in the AI era, including career preparation, mindful AI usage, and avoiding AI dependency.

Engaged the audience with a dynamic Q&A session focused on AI opportunities and challenges.

Delivered key insights to help students and professionals navigate the AI-driven future.

Educations – Skills – Language

Telecommunication Engineer

Institute Technology Telkom (Now Telkom University)

Final Project: License Plate Number Recognition Based on Template Matching and Cosine Similarity (Matlab)

2015 – 2019 | GPA: 3.74/4.00

  • Trainer – Drive Test Engineering Workshop (2018):
    Delivered 2-day theoretical and practical training for vocational high school students on drive test engineering.

  • Speaker – Electrical Circuit Sharing Session (2018):
    Provided lecture and problem-solving session on electrical circuits to help students prepare for midterm exams.

  • Lab Assistant (2016–2019):
    Assisted in labs including Algorithm & Programming, Advanced Programming, Microprocessor, Electrical Circuits, Cellular, and Digital Engineering.

  • Hexacomm Cellular Research Group (2017–2018):
    Public Relations & Coding Researcher. Conducted research and training on cellular technologies (3G, 4G, Signal Processing).

  • IPTEK Robotic IoT Team (2016–2018):
    Member and IoT Team Leader. Participated in multiple IoT and robotics competitions and research.

  • Finalist – E-Time IoT Competition 2017:
    Team Leader and Embedded Programmer (C, C++). Project: Automatic Plant Watering and Monitoring using Wireless Sensor Network.

  • Participant – GEMASTIK UI 2017:
    Designer and Embedded Programmer (C, C++). Project: Landslide Detector using Wireless Sensor Network.

  • Fully Funded – PKM Karsa Cipta 2016:
    Designer and Embedded Programmer (Python). Project: Traffic Light Security System using Raspberry Pi and IP Camera.

Skill Set

  • Python

  • C#

  • .NET

  • C/C++

  • Flask

  • FastAPI

  • .NET Core

  • Pydantic

  • LangChain

  • LangGraph

  • Semantic Kernel

  • OpenAI

  • Gemini

  • Scikit-learn

  • TensorFlow

  • PyTorch

  • OpenCV

  • Mediapipe

  • Google Vision

  • YOLO

  • ArcFace

  • Mask R-CNN

  • UNet

  • ArcGIS Pro

  • ArcGIS Enterprise

  • ArcGIS Developer

  • ArcPy

  • Shapely

  • Pandas

  • NumPy

  • Matplotlib

  • Seaborn

  • Selenium

  • BeautifulSoup

  • PostgreSQL

  • SQL Server

  • SQLite3

  • SQLAlchemy

  • FAISS

  • Qdrant

  • Google Cloud Platform (GCP)

  • Cloud Run

  • Cloud SQL

  • Artifact Registry

  • Secret Manager

  • GKE (Google Kubernetes Engine)

  • Vertex AI

  • Vision OCR

  • pytest

  • unittest

  • xUnit

  • Locust

  • line-profiler

  • memory-profiler

  • psutil

  • Visual Studio Code (VSCode)

  • Visual Studio

  • Postman

  • SQL Server Management Studio (SSMS)

  • pgAdmin

Languages

  • Indonesia (Native)

  • English (Proficient)