• Develop a conversational AI for internal use by leveraging Retrieval-Augmented Generation (RAG) and LLM capabilities• Contribute to eFishery's expansion program by leveraging satellite imagery and AI solutions to identify potential farms and buyers• Enhance credit scoring for eFishery’s loan program (Kabayan) by leveraging historical satellite images to assess farm productivity• Standardize backend infrastructure and AI development practices for the team• Implement PostGIS to handle spatial data for enhanced geographic information processing• Implement continuous improvements by staying updated with the latest state-of-the-art AI

As a part of the Research and Development team, I lead initiatives to design and develop innovative AI-driven products. My work includes:• Develop a fish sensor to monitor fish-pond activity• Create a system to detect and count shrimp larvae• Implement a Conversational AI with Retrieval-Augmented Generation for internal use• Analyze shrimp farm productivity using historical satellite imagery

• Manages all team workloads and QlueVision projects and products, planning and doing an RnD for the most suitable approach for new projects or product features• Plan and execute continuous improvement (to increase the accuracy and scalability) for all QlueVision projects and products• Work closely with Frontend, Backend, DevOps, QA, and Network-Infrastructure team in cross-functional projects• Work closely with Head of Engineering for planning the future of QlueVision products• Work closely with Enterprise Solutions Specialist team to formulate AI solutions for our potential clients• Develop Vehicle Analytic Engine to classify and count all vehicles crossing the road• Develop Vehicle Analytic Engine to detect an illegally parked vehicle on the road• Develop Vehicle Analytic Engine for a Dynamic Traffic Control system to reduce traffic congestion at crossroads (by dynamically adjusting the green light duration based on traffic density)• Maintain all python packages, applications, and products versioning• Ensure all applications, projects and products running smoothly at production level

As a Research and Development Scientist, I am responsible for developing AI models and creating prototypes. Some of the projects I've worked on:• Face Verification and Anti Spoofing for Wings Attendance system• FAQ Chatbot for Helpdesk assistant• Optical Character Recognition system for Identity Card reader• Object Detector and Recognition for Wings Planogram Compliance system

• Develop an Android application for a ticketing platform with MVP design pattern (Workaloka)• Work closely with Backend team for designing the database structure

Responsible to lead the Research Group of natural language processing and computer vision research.

• Research about cheating detection. Responsible for creating data sets (cheating videos) and preprocessing the data• Proposed a feature extractor to process human body parts motion

Learn about the basic of artificial intelligence like fuzzy logic, genetic algorithm, and artificial neural network.

• Research and Develop an AI system using Nvidia Deepstream SDK• Research about image pre-processing for Face Recognition system• Maintain existing QlueVision projectsTechnology used: Nvidia Deepstream SDK, Docker, Python, C++

Responsible for guide the practitioner to create a program based on the data structure used and help them find bugs.

Responsible for guide the practitioner to create object-oriented programs and help them find bugs.

Responsible for guide the practitioner to create a program based on the data structure used and help them find bugs.

Responsible for guide the practitioner to think logically and write algorithms to make the program.