Available to hire
I’m Malarvizhi Paramasivam, an AI Engineer with 3+ years of hands-on experience building end-to-end machine learning and data solutions across telecom, property management, and research. I analyze and process terabytes of time-series, image, and sensor data to deliver actionable insights and scalable outcomes. I’m proficient in supervised, unsupervised, and semi-supervised learning, predictive modeling for industrial and real estate systems, and deploying solutions on cloud platforms. My toolset includes Python, R, SQL, and frameworks like TensorFlow and PyTorch, complemented by Power BI for data visualization.
I earned an MSc in Computer Engineering (Machine Intelligence) from NUS and a BE in Instrumentation and Control Engineering from PSG College of Technology. I’ve led cross-disciplinary AI projects across industry and academia, contributed to research at A*STAR and NUS, and enjoy collaborating with product and operations teams to turn data into reliable decisions. I’m excited about opportunities in Singapore to apply ML and data engineering to real-world problems.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Tamil
Advanced
Hindi
Advanced
Malayalam
Advanced
Work Experience
Software Engineer (AI & IoT) at Exceltec Property Management Pte Ltd
July 1, 2025 - November 26, 2025Designed and implemented ML models for predictive maintenance on building management systems, reducing unexpected downtime by 25% through anomaly detection. Built scalable datapipelines integrating SQL and Python for operational sensordata, enabling real-time monitoring and performance alerts. Automated reporting workflows by integrating SQL-based data extraction with Python scripts, cutting manual reporting time by 40%. Applied data cleansing, missing data handling, and outlier detection techniques to improve dashboard accuracy.
AI Researcher at A*STAR I2R
December 1, 2024 - December 1, 2024Developed ML models for weather-impact analysis on flightpaths, handling over 500GB of satellite and meteorological data. Applied advanced statistical modeling, data cleansing, and feature engineering to improve forecasting accuracy by 35%. Created visualization dashboards presenting findings using Python, Pandas, and Matplotlib. Implemented storm trajectory mapping algorithms in PyTorch and Scikit-learn, enhancing operational reliability.
Entrepreneur In-Residence Intern (Team Lead–APAC) at HorizonLabs
August 1, 2024 - August 1, 2024Led AI-driven healthcare data projects, integrating multimodaldatasets (text, image) using Python and SQL. Designed and deployed LLM-powered recommendations using LangChain and OpenAI APIs. Built an OCR pipeline to extract structured data from PDFs, improving data accuracy and workflow efficiency. Developed customer dashboards with Power BI and Azure, integrating MLOps practices for scalable deployments.
Software Engineer (Engineering Research & Development) at Wipro Ltd
December 1, 2022 - December 1, 2022Implemented ML-driven predictive models for 5G Service Orchestration on the ONAP platform. Researched and applied LSTM models for intent KPI prediction, improving dynamic service orchestration in telecom operations. Built and deployed scalable backend services with Python, Java, Spring Boot, and Flask. Processed and cleaned network system data with SQL, PostgreSQL, and MongoDB, reducing processing time by 30%. Created web dashboards (Angular, HTML, CSS) for monitoring telecom KPIs.
Graduate Student Researcher at National University of Singapore (NUS)
December 1, 2024 - December 1, 2024Developed CNN-LSTM models on smart insole sensor data for real-time human activity recognition (92% accuracy). Built predictive modeling pipelines adaptable for semiconductor module failure detection. Created Unity3D visualizations for real-time posture feedback and system interaction.
Project Trainee at ISRO (Indian Space Research Organisation)
March 1, 2020 - March 1, 2020Interfaced a lunar rover with camera, LiDAR, and gyro sensors using ROS; executed autonomous navigation with 0% collision rate in simulated environments and real-time defect detection. Applied EKF for real-time position estimation and optimized vehicle steering and obstacle avoidance. Trained deep neural networks in TensorFlow Keras to classify objects in noisy conditions; designed ML-based filtering to classify sensor anomalies and support data-driven decisions. Implemented AI-driven anomaly detection to enhance decision-making in real-time conditions.
AI Researcher at A*STAR, I2R
December 1, 2024 - December 1, 2024Developed ML models for weather impact analysis on flight paths, processing over 500 GB of satellite and meteorological data. Applied advanced statistical modeling, data cleansing, and feature engineering to improve forecasting accuracy by 35%. Created visualization dashboards with Python, Pandas, and Matplotlib. Implemented storm trajectory mapping algorithms in PyTorch and Scikit-learn to enhance operational reliability.
Software Engineer (Engineering Research & Development) at Wipro Ltd
December 1, 2020 - December 1, 2022Implemented ML-driven predictive models for 5G Service Orchestration on the ONAP platform. Researched and applied LSTM models for KPI prediction, improving dynamic service orchestration in telecom operations. Built and deployed scalable backend services with Python, Java, Spring Boot, and Flask. Processed and cleaned network system data with SQL, PostgreSQL, and MongoDB, reducing processing time by 30%. Created web dashboards (Angular, HTML/CSS) for monitoring and reporting telecom KPIs.
Project Trainee at ISRO (Indian Space Research Organisation)
December 1, 2019 - March 1, 2020Interfaced lunar rover with camera, LiDAR, and IMU sensors, utilizing ROS and computer vision for autonomous navigation with 0% collision rate in simulated environment and real-time defect detection. Applied EKF for real-time position estimation and optimized vehicle steering and obstacle avoidance. Created custom datasets and trained deep NN in TensorFlow/Keras to classify objects in noisy conditions. Designed ML-based filtering to classify sensor anomalies and optimize data-driven decisions.
Entrepreneur In-Residence Intern (Team Lead Healthcare App –APAC) at Horizon Labs
June 1, 2024 - August 1, 2024Led AI-driven healthcare data projects, integrating multimodal datasets (text, image) using Python and SQL. Designed and deployed LLM-powered recommendation systems using LangChain and OpenAI APIs. Built an OCR pipeline to extract structured data from PDFs, improving data accuracy and workflows. Developed customer dashboards with Power BI and Azure, integrating MLOps practices for scalable deployments.
Software Engineer (Engineering R&D) at Wipro Ltd
December 1, 2020 - December 1, 2022Implemented ML-driven predictive models for 5G Service Orchestration (SO) on the ONAP platform. Researched and applied LSTM models for KPI prediction, improving dynamic service orchestration in telecom operations. Built and deployed scalable backend services with Python, Java, Spring Boot, and Flask. Processed and cleaned network system data with SQL, PostgreSQL, and MongoDB, reducing processing time by 30%. Created web dashboards (Angular, HTML, CSS) for monitoring telecom KPIs.
Graduate Student Researcher at National University of Singapore (NUS) – Research Experience
February 1, 2024 - December 1, 2024Developed CNN-LSTM models on smart insole sensor data for real-time human activity recognition (92% accuracy). Built predictive modeling pipelines adaptable for semiconductor module failure detection. Created Unity3D visualizations for real-time posture feedback and system interaction.
Education
Master of Science, Computer Engineering (Specialisation in Machine Intelligence) at National University of Singapore (NUS), Singapore
August 1, 2023 - January 1, 2025Bachelor of Engineering, Instrumentation and Control Engineering at PSG College of Technology, Anna University, India
July 1, 2016 - September 1, 2020Master of Science, Computer Engineering (Specialisation in Machine Intelligence) at National University of Singapore (NUS)
August 1, 2023 - January 1, 2025Bachelor of Engineering, Instrumentation and Control Engineering at PSG College of Technology / Anna University
July 1, 2016 - September 1, 2020Master of Science at National University of Singapore (NUS)
August 1, 2023 - January 1, 2025Bachelor of Engineering at PSG College of Technology, Anna University
July 1, 2016 - September 1, 2020Master of Science, Computer Engineering (Specialisation in Machine Intelligence) at National University of Singapore
August 1, 2023 - January 1, 2025Bachelor of Engineering, Instrumentation and Control Engineering at PSG College of Technology, Anna University
July 1, 2016 - September 1, 2020Qualifications
5-Day Gen AI Intensive
April 1, 2025 - November 26, 2025Tools for Data Science
June 1, 2019 - November 26, 2025Databases and SQL for Data Science
June 1, 2019 - November 26, 2025Basic Statistics
July 1, 2020 - November 26, 2025Business Analytics and Digital Media
July 1, 2020 - November 26, 2025Machine Learning for all
August 1, 2020 - November 26, 20255-Day Gen AI Intensive - Google
April 1, 2025 - November 26, 2025Tools for Data Science
June 1, 2019 - November 26, 2025Databases and SQL for Data Science
June 1, 2019 - November 26, 2025Basic Statistics
July 1, 2020 - November 26, 2025Business Analytics and Digital Media
July 1, 2020 - November 26, 2025Machine Learning for all
August 1, 2020 - November 26, 20255-Day Gen AI Intensive
April 1, 2025 - December 1, 2025Tools for Data Science
June 1, 2019 - December 1, 2025Databases and SQL for Data Science
June 1, 2019 - December 1, 2025Basic Statistics
July 1, 2020 - December 1, 2025Business Analytics and Digital Media
July 1, 2020 - December 1, 2025Machine Learning for all
August 1, 2020 - December 1, 20255-Day Gen AI Intensive - Google
April 1, 2025 - December 15, 2025Tools for Data Science
June 1, 2019 - December 15, 2025Databases and SQL for Data Science
June 1, 2019 - December 15, 2025Basic Statistics
July 1, 2020 - December 15, 2025Business Analytics and Digital Media
July 1, 2020 - December 15, 2025Machine Learning for all
August 1, 2020 - December 15, 2025Industry Experience
Telecommunications, Software & Internet, Real Estate & Construction, Education, Government, Professional Services, Healthcare, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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