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Nayanaa Ajith

@nayanaaajith

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AI/ML engineer building scalable intelligent solutions in NLP, computer vision, and explainable AI.

India

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What I'm looking for

I’m seeking AI/ML roles where I can build scalable, intelligent solutions with global impact—applying machine learning, explainable AI, and deployable APIs to deliver measurable value and real-world outcomes.

I’m an M.Sc. Data Science student and AI/ML engineer with hands-on experience in Machine Learning, Deep Learning, Computer Vision, and NLP. I focus on turning models into reliable, deployable systems—backed by measurable results like 95% ROC AUC in medical image classification.

In internships and research, I’ve built practical pipelines and user-facing intelligence: a blockchain-based agricultural supply chain using Hyperledger Fabric with GeoAI mapping (Leaflet.js), and explainable AI for multi-label retinal disease classification using a two-stage EfficientNetB0 + attention approach (Macro ROC AUC 0.91, Micro ROC AUC 0.95). I also develop production-ready projects such as transformer-based ethical text classification with DistilRoBERTa/RoBERTa/DeBERTa and Flask REST APIs, plus Grad-CAM retinal detection with role-based clinical access and real-time AQI tracking.

Experience

Work history, roles, and key accomplishments

Blockchain & GeoAI Intern

DeepSpatial

Oct 2025 - Mar 2026 (5 months)

Developed a blockchain-based agricultural supply chain system using Hyperledger Fabric to enable secure, transparent data traceability. Integrated GeoAI and Leaflet.js mapping with the blockchain architecture to support real-time, location-based monitoring and visualization.

Hyperledger Fabric Leaflet.Js Monitoring Web Mapping Geo AI

Research Intern – Explainable AI

IIIT Kottayam

May 2025 - Jul 2025 (2 months)

Researched explainable AI for multi-label retinal disease classification using the RFMiD dataset (3,000+ fundus images). Built a two-stage EfficientNetB0 model with attention mechanisms, achieving Macro ROC AUC of 0.91 and Micro ROC AUC of 0.95.

Explainable AI Multi Label Classification EfficientNetB0 Attention Mechanisms RFMiD Dataset ROC AUC Deep Learning

Data Science Intern

Seeroo It Solutions

Apr 2025 - May 2025 (1 month)

Built a Python-based API search tool that reduced structured data lookup time by 30% across 200+ entries. Performed EDA and model evaluation, achieving 85% accuracy and automating analytics dashboards.

Python API Development EDA Model Evaluation Data Visualization Dashboards