1. Data Scientist Responsibilities:- Implementing Tracking and Versioning Systems: Set up Object Storage Service and MLFlow Tracking to manage and version artifacts using DVC and MLFlow.- Developing NLP Models:Create NLP machine learning models using techniques such as Siamese Networks and TF-IDF. This involves gathering business requirements, defining and preprocessing data, feature engineering, training models, and developing API services to deploy the models. All components are packaged using Docker containers.- Automating Workflow:Configure GitHub Workflow and EC2 instances to automate testing and deployment to a test server.2. Teaching Staff Responsibilities:Educate over 200 students at Pacmann (a sister company of Valiance) on theoretical and practical aspects of being a data scientist. Key subjects include:- Machine Learning Cases (MLCases):Address various machine learning scenarios like price prediction and recommender systems.- Machine Learning Process (MLProcess):Guide students through the complete workflow, from exploratory data analysis (EDA) to automated model deployment on EC2 using GitHub Workflow, utilizing separate Docker containers for frontend and backend.- Machine Learning Product (MLProduct):Guide students through developing machine learning products, from defining business problems and objectives to leveraging models within a company.- Machine Learning Operations (MLOps):Set up an infrastructure to support the development and deployment of machine learning models.- Python Programming: Teach basic Python programming, including object-oriented programming (OOP) and debugging.- Data Visualization and Data Wrangling:Transform and visualize data in Python to aid data scientists in processing, understanding, and reporting data.3. Learning Materials Development:Creating Educational Content: Develop comprehensive learning materials for MLProcess, MLProduct, and MLOps courses for Pacmann.

Develops Firmware for Unified Vehicle Gateway (UVG). It is a tracking device that send data periodically to our server from desire operating hours, UVG can automatically go into sleep mode and wake up and then start all system including initialization sensor, GSM modem, GPS receiver, sending data until sleep again without human interaction.Using ARM Cortex M3, M0+, and M4 (there are a few version of UVG that we develops), all communication to sensor, GSM modem, and GPS receiver is done by Serial Communication like UART, I2C, and SPI with help of Direct Memory Access (DMA), Timer Peripheral and Hardware Interrupt to achieve synchronous transmit and receive data.High Quality components that support this device are from Texas Instrument, ST Microelectronics, On Semiconductor, Richtek Semiconductor, Maxim Integrated, Murata Electronics and many more.Schematics and PCB design using Altium Designer, Autodesk Eagle and EasyEDA. Also PCB manufacturing is done by PCB manufacturer in China and components assembly is done by machine Pick and Place.Beside of highly efficient firmware that build from C programming language, there are some case that we need to debug our firmware. It is done by using hardware debugger ST-Link and support from another hardware like Oscilloscope and Logic Analyser.All firmware is protected and organised by Version Control and Private Cloud Repository for convenient all team members.

Development Firmware for Otoku Board Project : Tracking Device-. Schematics and PCB design-. ARM Cortex M4 Microcontroller-. GSM modem and GPS receiver-. Power Management Integrated Circuit-. Temperature and Inertia Measuring Unit Sensor-. Real Time Clock-. UART, I2C, and SPI Serial Communication