Resume Lab
A real resume engine — analyse, tailor, export.
Everything here runs 100% in your browser — no server, no sign-up, your data never leaves your device. Upload your own resume to score it against a job description, or export Nagabhushana's as a polished PDF or real LaTeX source.
Nagabhushana Raju S
Data Science & AI/ML Engineer
Turning Data & AI into Real-World Innovation with an Entrepreneurial Mindset
Data & AI/ML engineer with an entrepreneurial mindset, skilled at building intelligent, data-driven systems that deliver measurable impact. Experienced applying machine learning to real problems, engineering data pipelines, and shipping AI-powered applications — from multimodal disease detection to real-time computer-vision interfaces.
Experience
Software Development Intern · Apr 2025 – Aug 2025
Getskilled (a unit of GyaanKool Research Labs)
- Engineered multimodal data pipelines, leveraging ResNet/EfficientNet for medical imaging and BERT/TF-IDF for clinical text.
- Built and benchmarked fusion models combining image + text features to optimize early-diagnosis precision across modalities.
- Evaluated models with ROC-AUC, F1-score and confusion matrices; aligned outcomes with clinical relevance alongside data scientists and medical advisors.
Final-Year AI Intern (Bharat Unnati AI Fellowship) · 2025 – 2026 (4 months)
TechLeap with ExpertPedia — VTU
- Selected for the VTU final-year internship fellowship; delivered applied AI project work with professional mentorship.
Projects
Multimodal AI for Early Disease Detection · 2nd Prize — Project Expo, MIT Mysore
Python · ResNet/EfficientNet · BERT · Fusion Models · Jun 2025 – Present
Real-Time Sign Language Interpreter (Multi-Modal AI)
FastAPI · WebSockets · MediaPipe · Caffe DNN · JS · Jun 2024 – Feb 2025
Early Disease Predictor
Python · Flask · scikit-learn · 2025
Expense Tracker Web App
JavaScript · Charts · localStorage · Mar 2025 – Apr 2025
Skills
Branding · https://mr-nagabhushanaraju-s.engineer/
Resume Analyser
No upload? It scores Nagabhushana's resume as a demo.
Export
All exports render on your machine in a second — no server. Designed PDF is the two-column showcase for humans; ATS-friendly PDF is a single-column, plain-text version that Applicant Tracking Systems parse cleanly (use this when applying through job portals). For the LaTeX-compiled version, drop the .tex into Overleaf.