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Swayam Pandey

@swayampandey

Message

Machine learning engineer focused on computer vision and robust model validation.

India

Message

What I'm looking for

I'm seeking ML/AI roles focused on computer vision or model validation where I can build robust, production-ready models and automated evaluation pipelines while collaborating with research or engineering teams.

I am a machine learning engineer specializing in computer vision and robust model validation, with hands-on experience building high-accuracy models and automated evaluation pipelines.

I've developed hybrid Vision Transformer and ResNet models that achieved up to 96% accuracy and 0.98 AUC, and built an image-based malware detector that reached 98.2% accuracy with under 1.5% false positives.

In research and industry internships I automated model evaluation and validation frameworks, reducing testing time by 25% and processing errors by 10%, while maintaining consistency across outputs at 98%.

I bring strong engineering practices—version control, containerization, and reproducible pipelines—paired with collaboration and documentation skills from leadership roles in campus organizations and competitive team sports.

Experience

Work history, roles, and key accomplishments

Project Trainee

Defence Metallurgical Research Laboratory

Dec 2024 - Jan 2025 (1 month)

Developed Python ML models for steel microstructure classification, improving accuracy by 15% and built automated validation frameworks that reduced processing errors by 10%. Created testing pipelines ensuring 98% consistency across ML outputs.

Python Machine Learning Computer Vision Validation Data Pipelines PyTorch NumPy Pandas

Research Intern

Indian Institute of Technology Indore

Jul 2024 - Dec 2024 (5 months)

Worked on computer vision and cybersecurity ML projects, automated model evaluation reducing testing time by 25% and boosting efficiency by 20%, and tracked metrics like precision, recall, and drift to catch issues early.

Computer Vision Machine Learning Model Evaluation Python Metrics Automation scikit learn PyTorch

Research Intern

Indian Institute of Technology Mandi

May 2024 - Jul 2024 (2 months)

Trained Vision Transformer models achieving 95%+ accuracy using k-fold cross-validation, implemented multi-dataset evaluation improving robustness by 12% and applied data augmentation to enhance generalization.

Vision Transformer PyTorch Cross Validation Model Evaluation Computer Vision Statistical Methods