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I am a Data & AI Engineer with 3 years of experience delivering end-to-end Artificial Intelligence and data-driven solutions across multiple roles, including concurrent positions as Data & AI Engineer. I am skilled in developing and deploying AI–IoT integrations, predictive analytics, and production-ready systems using technologies such as TensorFlow, PyTorch, Flask, FastAPI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLM). Experienced in database analysis and management, I have a proven ability to balance multiple projects and deliver impactful results in fast-paced environments. I have worked on a variety of projects including conversational AI assistants, AI-powered meeting notetakers, LSTM forecasting models, and AI for quality control in manufacturing. I continuously improve AI systems such as RAG frameworks and evaluate AI models for on-premise deployment to meet project requirements, contributing to successful Proof-of-Concept and full implementations in industry settings.…I am a Data & AI Engineer with 3 years of experience delivering end-to-end Artificial Intelligence and data-driven solutions across multiple roles, including concurrent positions as Data & AI Engineer. I am skilled in developing and deploying AI–IoT integrations, predictive analytics, and production-ready systems using technologies such as TensorFlow, PyTorch, Flask, FastAPI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLM). Experienced in database analysis and management, I have a proven ability to balance multiple projects and deliver impactful results in fast-paced environments. I have worked on a variety of projects including conversational AI assistants, AI-powered meeting notetakers, LSTM forecasting models, and AI for quality control in manufacturing. I continuously improve AI systems such as RAG frameworks and evaluate AI models for on-premise deployment to meet project requirements, contributing to successful Proof-of-Concept and full implementations in industry settings.

Dastin Aryo Atmanto

AI Engineer, Data Scientist, AI Developer, +3

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I am a Data & AI Engineer with 3 years of experience delivering end-to-end Artificial Intelligence and data-driven solutions across multiple roles, including concurrent positions as Data & AI Engineer. I am skilled in developing and deploying AI–IoT integrations, predictive analytics, and production-ready systems using technologies such as TensorFlow, PyTorch, Flask, FastAPI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLM). Experienced in database analysis and management, I have a proven ability to balance multiple projects and deliver impactful results in fast-paced environments. I have worked on a variety of projects including conversational AI assistants, AI-powered meeting notetakers, LSTM forecasting models, and AI for quality control in manufacturing. I continuously improve AI systems such as RAG frameworks and evaluate AI models for on-premise deployment to meet project requirements, contributing to successful Proof-of-Concept and full implementations in industry settings.…I am a Data & AI Engineer with 3 years of experience delivering end-to-end Artificial Intelligence and data-driven solutions across multiple roles, including concurrent positions as Data & AI Engineer. I am skilled in developing and deploying AI–IoT integrations, predictive analytics, and production-ready systems using technologies such as TensorFlow, PyTorch, Flask, FastAPI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLM). Experienced in database analysis and management, I have a proven ability to balance multiple projects and deliver impactful results in fast-paced environments. I have worked on a variety of projects including conversational AI assistants, AI-powered meeting notetakers, LSTM forecasting models, and AI for quality control in manufacturing. I continuously improve AI systems such as RAG frameworks and evaluate AI models for on-premise deployment to meet project requirements, contributing to successful Proof-of-Concept and full implementations in industry settings.

Available to hire

I am a Data & AI Engineer with 3 years of experience delivering end-to-end Artificial Intelligence and data-driven solutions across multiple roles, including concurrent positions as Data & AI Engineer. I am skilled in developing and deploying AI–IoT integrations, predictive analytics, and production-ready systems using technologies such as TensorFlow, PyTorch, Flask, FastAPI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLM). Experienced in database analysis and management, I have a proven ability to balance multiple projects and deliver impactful results in fast-paced environments.

I have worked on a variety of projects including conversational AI assistants, AI-powered meeting notetakers, LSTM forecasting models, and AI for quality control in manufacturing. I continuously improve AI systems such as RAG frameworks and evaluate AI models for on-premise deployment to meet project requirements, contributing to successful Proof-of-Concept and full implementations in industry settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI Engineer at PT. Informasi Teknologi Indonesia (Jatis Mobile)

September 1, 2024 - Present

Built a document analyzer workflow that extracts data from tables and graphs using Docling and YOLO, enabling structured data extraction and visualization from unstructured documents. Managed 7 Proof-of-Concept projects with 2 progressing to full implementation. Enhanced the RAG system by implementing a Cross-Encoder Reranker, improving retrieval performance by 20-30%, and evaluated AI models such as Qwen and Mistral for on-premise deployments aligned with project requirements.

AI Engineer at PT. INFORMASI TEKNOLOGI INDONESIA (Jatis Mobile)

September 1, 2024 - Present

Built a document analyzer workflow that extracts data from tables and graphs using Docling and YOLO, enabling structured data extraction and visualization from unstructured documents. Managed 7 Proof-of-Concept (POC) projects related to the product, guiding planning, implementation, and evaluation, with 2 projects (KAI and PlanetBan) progressing to full implementation. Enhanced the Retrieval-Augmented Generation (RAG) system by implementing a Cross-Encoder Reranker, achieving a 20-30% increase in retrieval performance. Conducted comparative analyses of AI models such as Qwen and Mistral to select the optimal on-premise deployment solution for project requirements.

AI Engineer | RnD Staff – Intern and Full-time at PT. Jimmy Group Technology (SOCA AI)

August 31, 2024 - August 13, 2025

Engineered Large Language Model agents within a RAG framework to support virtual assistant services, enhancing accuracy and responsiveness using LangChain and LlamaIndex. Developed automated data pipelines for efficient dataset collection and processing to support LLM workflows. Created AI models for vehicle wheels quality control using YOLOv8, advanced inference techniques SAHI, and deep learning with U2Net-pretrained models. Developed NLP solutions for voice cloning (TTS/STT), video generation, and auto-dubbing, covering research through to MLOps deployment.

AI Engineer | RnD Staff (Intern and Full-time) at PT. JIMMY GROUP TECHNOLOGY (SOCA AI)

August 31, 2024 - August 13, 2025

Engineered Large Language Model (LLM) agents within a Retrieval-Augmented Generation (RAG) framework to support virtual assistant services, improving accuracy and responsiveness with LangChain and LlamaIndex. Developed robust data pipelines automating dataset collection, processing, and flow, enhancing efficiency in LLM processing. Created AI models for wheels vehicle quality control using YOLOv8, Slicing Aided Hyper Inference (SAHI), and custom SAHI modifications. Preprocessed data leveraging circle detection and color-space conversion with OpenCV, and applied a U2Net-pretrained deep learning model. Delivered NLP-based AI solutions for voice cloning (TTS/STT), video generation, and auto-dubbing, covering the end-to-end lifecycle from research to MLOps deployment.

Data & AI Engineer | RnD Staff – Freelance at PT. Jimmy Group Technology (SOCA AI)

August 1, 2024 - Present

Delivered AI-driven conversational assistants for major clients including HOKIBank and Telkom Indonesia using LLM, RAG, and FastAPI, integrating NLP pipelines to enhance service efficiency. Developed an AI-powered meeting notetaker with speech-to-text, transcription, and summarization features to improve productivity and documentation quality. Built LSTM-based forecasting models with 92.86% directional accuracy and less than 1.1% MAPE for ticketing and network operations planning. Designed SQL database analysis, schema mapping, and ETL pipelines to enhance text-to-SQL RAG systems, improving query accuracy by approximately 70%.

Data & AI Engineer | RnD Staff (Freelance) at PT. JIMMY GROUP TECHNOLOGY (SOCA AI)

August 1, 2024 - Present

Delivered AI-driven conversational assistants for major clients including HOKIBank and Telkom Indonesia, utilizing Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and FastAPI to integrate NLP pipelines boosting service efficiency. Developed an AI-powered meeting notetaker integrating Speech-to-Text (STT), transcription, and summarization features, enhancing productivity and documentation. Built LSTM-based forecasting models for ticketing and network traffic, achieving 92.86% directional accuracy and under 1.1% MAPE for operational planning. Designed SQL database analysis, schema mapping, and ETL pipelines to improve text-to-SQL RAG systems, enhancing query accuracy by approximately 70%.

AI Developer – Intern at PT. Orbit Future Academy

December 31, 2022 - August 13, 2025

Conducted comparative studies of classification models including Random Forest, XGBoost, LGBM, CatBoost, K-NN, and Adaboost to analyze factors affecting the Human Development Index. Built a deep learning BERT transfer learning model for sentiment analysis on film opinions. Implemented Q-Learning algorithms for desktop game-based obstacle avoidance robot learning. Deployed AI models as web-based Flask APIs to improve user interaction and application intelligence.

AI Developer (Intern) at PT. ORBIT FUTURE ACADEMY

December 31, 2022 - August 13, 2025

Conducted comparative studies of classification models including Random Forest, XGBoost, LGBM, CatBoost, K-NN, and Adaboost to identify factors affecting the Human Development Index. Built deep learning models using BERT Transfer Learning for sentiment analysis of film opinions. Implemented Q-Learning algorithms for Obstacle Avoidance Robot control based on desktop gaming environments. Deployed AI models on web-based applications using Flask API to enhance user experience through smarter applications.