PREM KUMAR
Machine Learning Engineer
Petaling Jaya
Summary
Machine Learning Engineer specializes in Facial Recognition, e-KYC and Digital Identity with 4 years of experience developing Machine Learning models with production-grade solutions. Complex problem-solver with an analytical and driven mindset.
Overview
6
6
years of professional experience
4
4
years of post-secondary education
Work History
AI Consultant
tekkis
05.2022 - Current
Tech Lead
Neofin Inc
11.2021 - Current
- Building AI eKYC architecture from ground up for 3 core technologies including Facial Recognition, Liveness Detection and OCR using TensorFlow and PaddlePaddle
- Managed group of 5 engineers comprised of 3 Data Scientists and 2 Machine Learning engineers
- Experienced in transforming data science prototypes and applying appropriate ML algorithms and tools
- Work closely with CEO and COO to understand requirements from business point of view and translate them to technical tasks
- Integrated Machine Learning solutions (e-KYC) to core Finance models including bank loans, BNPL, micro loans and many more
Machine Learning Engineer
WISE AI
09.2020 - Current
- Developed Face Anti Spoofing and Facial Recognition using Deep Learning for e-KYC system and process
- Lead the data collection process for Facial Recognition model training using public, private and synthetic datasets based on GAN
- Experienced in data processing, model training and model deployment for SaaS/On-Premise with production grade solutions including Docker and ZMQ
- Experienced in designing scalable Machine Learning production architecture for SaaS/On-Premise
- Scrum Master, estimated work hours and tracked progress using Scrum methodology
- Skilled in Flask/FAST, Docker, Jupyter, Scikit-learn, Keras, TensorFlow, Git, Linux, Dash, Grafana, Prometheus, AWS, Apache Superset, Message Queue (ZMQ), Streamlit, Atlassian JIRA, Git, Bitbucket and Confluence
Hardware Engineer
DYSON
02.2019 - 08.2020
- Worked on core Electronics development for next generation Robotics
Research Engineer
MONASH UNIVERSITY
Petaling Jaya
01.2018 - 01.2019
- Developed algorithm to perform multi-class Palm Seed Classification for Sime Darby Plantation to assist in their seed grading system
- Gathered, arranged and corrected research data to create representative graphs and charts highlighting results for presentations
- Developed stage-wise classification using Deep Learning in line with business goal
- Performed image classification using CNN (AlexNet) with Support Vector Machine (SVM) as the final classifier using TensorFlow
- Developed a mobile application using MobileNet for Android
Education
Bachelor's Degree - Electrical and Computer SystemsEngineering
Monash University
Petaling Jaya 01.2014 - 01.2018
Skills
- Algorithm implementation
Accomplishments
- Recommendation Model using Deep Learning and analyzed contents to provide item recommendations to users using TensorFlow
- Determine Fraudulent transactions using Machine Learning by processing cashless transaction data: handled imbalanced dataset and applied Support Vector Machines (SVM) for predictions
- Performed credit scoring using Machine Learning by analyzing huge dataset and perform data analysis to predict credit score using different algorithms (SVM, Random Forest, Gradient Boosting)
Timeline
AI Consultant
tekkis
05.2022 - Current
Tech Lead
Neofin Inc
11.2021 - Current
Machine Learning Engineer
WISE AI
09.2020 - Current
Hardware Engineer
DYSON
02.2019 - 08.2020
Research Engineer
MONASH UNIVERSITY
01.2018 - 01.2019
Bachelor's Degree - Electrical and Computer SystemsEngineering
Monash University
01.2014 - 01.2018
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