Open to opportunities

Vignesh Palan

@vigneshpalan

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I build responsible, high-performing AI/ML systems.

India

Message

What I'm looking for

I seek impactful AI/ML roles where I can translate research into responsible, production-ready systems, focusing on computer vision and NLP, fairness-aware modeling, and cloud deployment (GCP/Vertex AI). I value collaborative teams and research-driven product impact.

I am an AI/ML engineer focused on translating advanced research into responsible, deployable systems.

During my M.Tech and faculty-mentored projects, I developed a Real-ESRGAN‑ViT framework and a ViT diagnostic tool for plant disease detection. These models achieved high performance (up to 95% accuracy and 94% F1) and led to a peer-reviewed IEEE Access publication.

I also mitigated algorithmic bias in loan approval models using hybrid Bayesian and ML approaches that balanced predictive accuracy and fairness. I enjoy building fair-by-design systems, working with cloud tools like GCP/Vertex AI, and contributing to research-driven product teams.

Experience

Work history, roles, and key accomplishments

Current

Graduate Researcher

Current

Manipal Institute of Technology

Sep 2024 - Present (11 months)

Led faculty-mentored research developing a Real-ESRGAN-ViT super-resolution and vision model for drone imagery, achieving 92% accuracy and 91% F1 and resulting in an IEEE Access publication.

SuperResolution PyTorch TensorFlow Real ESRGAN Vision Transformer (ViT)Super Resolution Deep Learning Model Evaluation GCP

Undergraduate Researcher

Mangalore Institute of Technology and Engineering

Sep 2020 - May 2024 (3 years 8 months)

Developed a ViT-based plant disease diagnostic tool and GPT-2 report generator trained on 38 disease classes, achieving 95% accuracy and 94% F1, and mitigated algorithmic bias in loan-approval models to achieve 89% accuracy with improved fairness.

Python Computer Vision NLP Model Training FAIR Data Analysis

Education

Degrees, certifications, and relevant coursework

Manipal Institute of Technology

Master of Technology, Artificial Intelligence

2024 -

Activities and societies: Developed a novel framework combining generative and transformer models for plant disease detection; research produced a peer-reviewed IEEE Access paper and achieved 95% accuracy and a 94% F1-score on a 38-class dataset.

Master of Technology in Artificial Intelligence focusing on practical application and research integrating generative and transformer models for plant disease detection; co-authored an IEEE Access publication.

Mangalore Institute of Technology and Engineering

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2020 - 2024

Activities and societies: Faculty-mentored projects on drone-based detection, vision-based image generation and super-resolution (Real-ESRGAN-ViT), and model evaluation that informed subsequent publication-level research.

Bachelor of Engineering in Artificial Intelligence and Machine Learning with coursework and projects in computer vision, natural language processing, and machine learning, including faculty-mentored research on drone-based detection systems.