Recent CS grad with a strong foundation in backend and cloud. Actively seeking full-time software engineering roles.

github

Nihar Lodaya  • Peerlist

• Trained a 1D‑CNN on the RAVDESS dataset (2,440 audio clips across 8 emotions), extracting 40 MFCC features per sample
• Achieved 94.8% accuracy and 0.95 macro F1‑score on the test set after 50 epochs, reducing preprocessing time by 20% through optimized pipelines
• Implemented dropout (0.2) and max-pooling layers to prevent overfitting, boosting minority-class F1 by 12%
• Visualized performance with confusion matrix and classification report, ensuring > 90% recall across all emotion classes

Emotune: Audio Emotion Analyzer

• Built a 4‑level Processing side‑scroller in 3 months with platforming, upgrades, and a final boss
• Crafted varied levels (forest, cave, castle, village) to boost player immersion
• Added checkpoints and story cards, cutting restarts by 30%. Tuned the game loop for a stable 60 FPS on Mac and Windows
• Authored design docs and reports to streamline QA and collaboration

The Hero's Journey

• Independently developed an online hotel room booking website named “Getaway” in three weeks
• Leveraged a robust technology stack—including Next.js, React.js, Redux, Express.js, Node.js, MongoDB, Cloudinary, and Stripe—and deployed the project on Vercel
• Delivered a seamless user experience featuring intuitive navigation, secure Stripe-integrated payments, and efficient database management with MongoDB

Getaway - Hotel Booking Website

•Created a full-stack movie management platform, building a Java Spring Boot RESTful API backend connected to a JavaFX user interface.
•Implemented critical functionalities like user authentication (session-based), CRUD operations for movie listings, user-generated reviews, and role-defined access (Admin/User).
•Employed Spring Data JPA for MySQL data persistence within an MVC structure and established robust security protocols with Spring Security.