Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Multidisciplinary engineer with a Master’s in Artificial Intelligence and a Bachelor’s in Electronics and Communication Engineering. Skilled in end-to-end machine-learning workflows including problem formulation, feature engineering, model development, cloud-based deployment, and performance monitoring. Proven ability to work across engineering, IT, and business stakeholders to translate complex asset and system challenges into scalable analytics and automation solutions.…Multidisciplinary engineer with a Master’s in Artificial Intelligence and a Bachelor’s in Electronics and Communication Engineering. Skilled in end-to-end machine-learning workflows including problem formulation, feature engineering, model development, cloud-based deployment, and performance monitoring. Proven ability to work across engineering, IT, and business stakeholders to translate complex asset and system challenges into scalable analytics and automation solutions.

Jewel Kurian Elias

AI Engineer, Data Scientist, Full Stack Developer, +2





Multidisciplinary engineer with a Master’s in Artificial Intelligence and a Bachelor’s in Electronics and Communication Engineering. Skilled in end-to-end machine-learning workflows including problem formulation, feature engineering, model development, cloud-based deployment, and performance monitoring. Proven ability to work across engineering, IT, and business stakeholders to translate complex asset and system challenges into scalable analytics and automation solutions.…Multidisciplinary engineer with a Master’s in Artificial Intelligence and a Bachelor’s in Electronics and Communication Engineering. Skilled in end-to-end machine-learning workflows including problem formulation, feature engineering, model development, cloud-based deployment, and performance monitoring. Proven ability to work across engineering, IT, and business stakeholders to translate complex asset and system challenges into scalable analytics and automation solutions.

Available to hire

Multidisciplinary engineer with a Master’s in Artificial Intelligence and a Bachelor’s in Electronics and Communication Engineering. Skilled in end-to-end machine-learning workflows including problem formulation, feature engineering, model development, cloud-based deployment, and performance monitoring. Proven ability to work across engineering, IT, and business stakeholders to translate complex asset and system
challenges into scalable analytics and automation solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Machine Operator at Metatex Australia Pty Ltd

October 1, 2023 - Present

Operated press brakes to bend, shape, cut, and manipulate sheet metal and metal plates, delivering precise, high-quality production components aligned with detailed engineering specifications. Interpreted and executed complex production plans, enabling accurate setup and adjustment of press brakes to meet diverse project requirements and maintain tight tolerances. Used TruBend CelIa automated sheet metal fabrication system to enhance manufacturing process efficiency, consistency, and repeatability.

Robotics & Controls Engineering Intern at Johnson & Johnson MedTech

December 1, 2025 - December 31, 2025

Optimized surgical robotic arm performance by diagnosing controls system inefficiencies using Python-based tools, improving precision and reliability. Identified root causes of delays in control systems and implemented targeted optimizations, enhancing system responsiveness. Developed a detailed design proposal presenting findings, solutions, and recommendations to improve robotic system accuracy and reliability. Collaborated remotely with a multicultural team to simulate real-world robotics engineering challenges and deliver actionable insights.

Machine Learning Engineer - SDG11 Project at Monash University SDG11 Project

July 20, 2025 - August 2, 2026

Developed a machine-learning system to predict parking bay availability using historical arrival/departure data and live sensor feeds. Designed time-aware, location-specific features and multi-class models to forecast vacancy windows from minutes to hours. Delivered predictions via an interactive geospatial web interface, bridging ML outputs with real-world urban mobility use cases.

Project Engineer at Bird Tag

May 20, 2025 - June 20, 2025

Co-developed Bird Tag, an AWS serverless application for storing, organizing, and retrieving bird-related media. Built a secure, scalable system using AWS S3, Lambda, API Gateway, and DynamoDB to support user uploads and automated tagging. Implemented RESTful APIs, data models, and front-end integration to enable seamless user uploads and automated species detection.

Research/Project Lead at Independent / Personal Projects

March 20, 2025 - May 20, 2025

Computer Vision Systems with CNNs, FCNs, and Transformers: Built an image stitching system using Harris Corner Detection and RAN SAC, delivering seamless panoramas with precise computer vision techniques. Engineered advanced convolutional neural network architectures for CIFAR-100 classification, optimizing accuracy with data augmentation, normalization, dropout, residual connections, and inception modules. Applied Parameter-Efficient Fine-Tuning (PEFT) techniques, including adapters and Low-Rank Adaptation (LoRA), enhancing model performance while minimizing computational resource use.