Open to opportunities

Vignesh G

@vigneshg

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Machine learning engineer specializing in computer vision, audio forensics, and predictive modeling.

India

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What I'm looking for

I seek hands-on ML roles building and deploying computer-vision and audio/deep-learning systems in teams that value production-ready models, experimentation, and measurable business impact.

I am a machine learning engineer with hands-on internship experience building production-style models in computer vision, audio deep-fake detection, demand forecasting, and loan-repayment prediction. I have implemented YOLOv8-based defect detection, ResNet-based audio spoofing classifiers, ensemble pipelines, and monocular 3D reconstruction using HIE-GAN, and I focus on delivering accurate, deployable solutions.

I blend strong programming skills in Python, MATLAB, and database work (MySQL, MongoDB) with libraries like TensorFlow, PyTorch, and scikit-learn to create data-driven workflows and real-time systems. My work has improved inventory planning, enabled real-time quality inspection, and supported actionable analytics for business decision-making.

Experience

Work history, roles, and key accomplishments

Current

Undergraduate Student (AI/ML)

Current

Sathyabama Institute of Science and Technology

Sep 2022 - Present (3 years 2 months)

Pursuing B.E. in Computer Science with AI/ML specialization (CGPA 8.9); completed projects in 3D reconstruction, deep-fake detection (audio/video), and real-time emotion classification demonstrating applied ML and computer vision skills.

Python TensorFlow PyTorch Computer Vision Deep Learning 3D Reconstruction Audio Processing OpenCV Data Science

Data Science Intern

Precision Pressings

Dec 2024 - Jan 2025 (1 month)

Developed a YOLOv8/OpenCV computer vision model achieving >90% accuracy for surface-defect detection and created a MATLAB Simulink digital twin of the metal pressing process for defect analysis and process optimization.

Computer Vision YOLOv8 OpenCV Python Simulink

Data Science and Machine Learning Intern

SAA Warehousing and Logistics

Nov 2024 - Dec 2024 (1 month)

Designed and deployed a multi-user MongoDB database for real-time logistics data and developed demand-forecasting ML models to improve inventory planning using historical orders and stock data.

MongoDB Python demand planning Time Series Analysis Data Analytics Pandas SQL

Machine Learning Engineer Intern

Five Star Business Credits Limited

Dec 2023 - Jan 2024 (1 month)

Conducted data analysis on customer property data and implemented ML models to predict loan repayment behavior; developed data deduplication and splitting algorithms to segregate new and existing customers.

Python Data Analysis Machine Learning And Deduplication scikit learn Pandas SQL

Education

Degrees, certifications, and relevant coursework

Sathyabama Institute of Science and Technology

Bachelor of Engineering, Computer Science and Engineering (AI/ML)

2022 -

Grade: CGPA: 8.9

Activities and societies: Participated in DATA BUZZ Project Expo (2nd Place), Aes-Tech Project Presentation (2nd Place), Techblaze Overall Runners; served as Treasury Lead, BIS Sathyabama Student Chapter.

Pursuing a Bachelor of Engineering in Computer Science and Engineering with specialization in AI/ML, focusing on machine learning, computer vision, and data-driven system development; current CGPA 8.9.