Austin Chan

Rumius

Co-Founder

Brandengine.ai

LinkedIn Comment AI

Founder

TheLorry.com

Leading backend engineering team with goal of designing TheLorry business applications that scale.

Responsibilities:
- Designing, building, and maintaining the server-side of applications
- Researching technologies that solve business problem with minimum cost
- Leading team members on trying new solutions
- Working closely with DevOps on managing backend services and AWS infrastructure

Technical Team Lead

RemoteGoGo

Building the future of hiring powered by best recruiters from every corner in the world.

I aggregate agencies and individual recruiters around the world in single platform to help remote-first companies hiring the right candidates (who not actively searching job yet) globally.

According to research, around 70% of global workforce are not actively seraching for job online. Reaching the right candidates from this talent pool require different strategy. And recruiters are the person to engage the candidates from this pool.

With RemoteGoGo, employers can access all recruitment agencies and individual recruiters all over the world in single platform. Best part, pay only as you get result.

Jinnie

Creator

Freelance

Freelance Web Developer

Web Developer

I help remote-first company hire undiscovered candidate through purpose-built job board | Software Engineer turned Solopreneur | Hiring? Share your career page 👇

👇 About me 👇

Joined an early stage startup right after graduation, I was part of the first few engineers in the organization. I've lucky enough to lead a small team of 6-8 engineers. Biggest achievement: Together with our team, built and launched a full system for new business product. Six months later, the product helps generate 80% of overall revenue.

Inspired by Pieter Levels and Jon Yongfook, I'm on my journey to pursuit solopreneurship. 

My missions right now:
→ Building Rumius (https://rumius.com) into the go-to data analyst for startup and SaaS teams

Email: austin.serverless@gmail.com

Avanade

Consultant, Advanced Analytics (Data & AI)

• Managed and delivered end-to-end advanced analytics/data science solutions to reduce UPD in upstream gas field operations, achieving significant milestones in operational efficiency with an annual value creation of up to 6 million MYR.
• Involved in the backend team for Gen AI project by developing and supporting the LLM application pipelines to provide reliable citations and responses in the Chat Service which utilizes Python, Azure OpenAI, Databricks, Azure Data Factory and Azure Cognitive Search.
• Contributed to delivering end-to-end development and deployment of ETL pipelines in client's project that uses Databricks and Azure Data Factory, enabling seamless data integration and transformation across diverse sources, including API, SQL Databases and JSON formats, while ensuring error-free ingestion.
• Collaborated closely with data engineers and analysts to comprehend data requirements, facilitating the implementation of tailored data transformations to support specific analytical needs.
• Supported the construction and maintenance of a comprehensive knowledge graph and ontology to assist in advanced data analytics and information retrieval.
• Leveraging Python in Databricks to perform extraction and transformation on the knowledge graph nodes using NLP normalization techniques for efficient pre-processing, while leveraging Neo4j's capabilities like Levenshtein Distance to model relationships between entities for sophisticated querying and insights.

Senior Analyst, Advanced Analytics (Data & AI)

TheLorry

• Actively involved in building TheLorry Route Optimization (RO) engine which helps optimize the last-mile distribution route of 200+ driver-partners by reducing driver’s travel time by up to 35% monthly.
• Initiated prototype AI/ML solutions for the logistics domain which involves optimizing delivery performance, warehouse, and dimension weight measurement which simulated to save up to 20% time and operation costs.
• Contributed to building production TheLorry mail server as a centralized mailing service that integrated with 10+ internal products/APIs and enables tracking of receiver events based on the sent emails.
• Managed a process re-engineering project to improve and consolidate end-to-end Supply Chain Services (SCS) billing processes; established 20+ python automation processes and cut-down reporting time by 95%.
• Led data team software development products by implementing industry-standard version control, automated unit testing, and structured CI/CD pipelines to reduce deployment time by 83%.
• Successfully delivered 10+ production-level code quality APIs and Web Applications to the AWS dedicated cloud compute, fully managed orchestration services and serverless computing platform.
• Enhanced visibility and transparency of employees’ quarterly performance scores by developing an OKR system that monitored 170+ employees’ performance in 4 countries. 
• Created event-driven ETL pipelines to push data near real-time from Amazon RDS to Google BigQuery which improved reporting query speed up to 70x.
• Reduced AWS operation costs by up to 20% by doing monthly cost optimization analysis on the existing software deployment architecture.

Machine Learning Engineer

• Developed an address parser using text analytics approach and cost-optimized in-house geocoding service, resulting in a reduction of 27% in Google Cloud Platform (GCP) service cost.
• Conducted necessary data feature selection for reporting and assisted the data department in developing automation processes to improve reporting speed up to 90x.
• Implemented NLP processing in the reporting system to dynamically transform, normalize and standardize reports, resulting in 99% bug-free report generation.
• Deployed a Finance Billing Reporting App that enable stakeholders to generate SCS billing reports, resulting in 99% human error-free and cutting down disputes amount appointed by the clients by 30%.

Data Science Intern

Universiti Malaysia Terengganu

• Built a customized and rule-based Malay Part-Of-Speech (POS) tagging algorithm that can detect up to more than 20 types of tagging using Python.
• Re-engineered the Malay POS methodology and algorithm process flow based on existing research papers and performed a comparative analysis including the performance measure on these algorithms.
• Involved in building a Malay ontology algorithm that comprises POS tagging and word relation rule, word taxonomy, attributes relationship, and document similarity to process up to 100+ Malay news articles.

NLP Researcher

National University of Malaysia (UKM)

•	Managed a project on The Improvement of Stress Level Detection in Twitter: Imbalance Classification Using SMOTE.
•	Executed twitter data extraction related to mental health using Twitter API and performed text normalization on highly unstructured tweet data.
•	Built ML Pipelines that involved text pre-processing, text representation, text augmentation and classification to process normalized tweets.
•	Run comparative study on Naïve Bayes and Support Vector Machine (SVM) towards imbalanced labeled data with combinations of different word vectorization techniques such as Word Vector, Lemma, TF-IDF, Bag of Words, and N-Gram.

Data Science Research Assistant

Ziemans Solutions

• Spearheaded an android game development with only 6 months from requirements gathering to production.
• Published “Goolee” Android App on Google Play Store and gained 1000+ downloads in the first year.
• Embedding Google Game Services into the game to keep track of user's achievement and leaderboards.
• Monitor the app statistics through Google Play Console.

Android Game Developer

•	Designed 3+ websites using WordPress and led Digital Marketing related tasks specifically in SEO that enforce higher product visibility in Google Search Engine.
 •	Managed to complete the task/project given within the given timeline and budget.

Web Developer 

Myxlab Solutions PLT

• Responsible for maintaining UKM Explorer Application which is a Virtual Reality (VR) tour application for UKM Students. 
• Learned and practiced the application of VR in mobile application development using Android Studio Software.

Mobile Application Developer

• Involved in all phases of UI Development and Prototyping (Paper Prototyping, UI Design, Wireframe, High Fidelity Prototyping using Prototyping Tools)
• Led the UI Team to complete the task based on the given timeline. 
• Building AR/VR Application
• Android App Development

AR/VR and UI/UX Intern

Experienced Machine Learning Engineer with a robust background in advanced analytics, software engineering, and programming, complemented by 5 years of technical expertise. Successfully developed and managed multiple projects in the oil & gas and logistics sectors, from conception to deployment, delivering impactful data science solutions. Proficient in guiding teams and collaborating across departments to address complex business challenges and enhance operational efficiency. Extensive experience in Python, Machine Learning algorithms, Generative AI, Optimization, Text Analytics, Computer Vision, Cloud Computing Platforms, and DevOps.

taplio

The Battle

Austin Chan

Azzan Amin

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?