Open to opportunities

Malar Vizhi

@malarvizhi

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AI Engineer with 3+ years of experience in machine learning.

Singapore

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What I'm looking for

I am looking for a role that fosters innovation and allows me to tackle complex challenges with data.

I am an AI Engineer with over three years of experience in developing, deploying, and maintaining end-to-end AI and machine learning models. My expertise lies in high-volume data processing and real-time analytics, where I have successfully built scalable pipelines and developed statistical and ML models. I have a strong foundation in Java, Python, SQL, and big data, focusing on high-tech applications that drive measurable impact through automation and optimization.

Throughout my career, I have worked on various projects, including weather-impact analysis for flight paths and healthcare applications, where I led AI-driven initiatives that improved user engagement and forecasting accuracy. My academic background includes a Master’s in Computer Engineering with a specialization in Machine Intelligence from the National University of Singapore, where I have been recognized for my achievements, including being among the top graduates. I am passionate about leveraging data to solve real-world problems and continuously seek opportunities to innovate and optimize processes.

Experience

Work history, roles, and key accomplishments

AI Researcher

A*STAR, I2R

Aug 2024 - Dec 2024 (4 months)

Developed ML models for weather-impact analysis on flight paths, a project funded by Singapore Airlines. Assisted in data collection, cleaning, and preprocessing of over 500GB datasets of weather and satellite data and visualized insights using Matplotlib and Pandas for data model implementation and extending ML libraries.

Machine Learning Data Collection data preprocessing Matplotlib Pandas NumPy scikit learn PyTorch

Entrepreneur In-Residence Intern

Horizon Labs

Jun 2024 - Aug 2024 (2 months)

Built backend systems for a healthcare app using Wized and Xano, Webflow and Figma for frontend. Led AI-driven projects in Agile environments, and built scalable data pipelines integrating multimodal datasets (text, image) using Python and SQL.

Backend Development Wized Xano Webflow Figma AI Agile Data Pipelines Python SQL LLM RAG VectorDB ChromaDB Power BI Azure MLOps Kubernetes

Software Engineer

Wipro Ltd

Dec 2020 - Dec 2022 (2 years)

Researched and implemented 5G initiatives in the Service Orchestration (SO) track on the ONAP (Open Network Automation Platform) hosted by the Linux Foundation. Developed scalable backend services using DL models, Java/Python and Spring Boot/Flask as ONAP Technical Contributor.

ONAP Backend Development Deep Learning Java Python Spring Boot Flask Self Organizing Networks (SON)Network Slicing Kubernetes Docker SQL PostgreSQL MongoDB REST APIs RDBMS

Project Trainee

ISRO (Indian Space Research Organisation)

Dec 2019 - Mar 2020 (3 months)

Interfaced a lunar rover with camera, lidar, and gyro sensors, utilizing ROS and computer vision algorithms for autonomous navigation with 0% collision rate in a simulated environment and and real-time defect detection. Applied EKF to real-time position estimation and optimize vehicle steering and obstacle avoidance.

ROS Computer Vision TensorFlow Keras Machine Learning Anomaly Detection

Education

Degrees, certifications, and relevant coursework

National University of Singapore (NUS)

Master of Science, Computer Engineering

Specialized in Machine Intelligence, focusing on advanced topics in AI and machine learning. Engaged in research and coursework to develop expertise in intelligent systems.

Anna University (PSG College of Technology)

Bachelor of Engineering, Instrumentation and Control Engineering

Grade: First Class with Distinction, CGPA: 9.1/10

Activities and societies: First Prize: IoT based Flood Alert System, MICROSOFT ACAD ACCELERATOR CODEFUNDO++ Hackathon | 2018, Second Prize: SMART SYSTEMS IN TRANSPORTATION, Paper Presentation, SRiSHTi Technical Symposium | 2017.

Graduated with First Class with Distinction, achieving a CGPA of 9.1/10. Recognized as a PSG Top Outstanding Graduate (Top 3%) and PSG Merit Student (Top 5%).