Portfolio & Credentials

Neural Space — 3D Interactive Portfolio

Sep 2026 · WebGL / Three.js · Live at 3d.ravindrassk.com

A second, immersive take on this portfolio: scroll-driven 3D scenes built with React Three Fiber and custom GLSL shaders, with 15 switchable themes — from a particle neural field and a procedural Earth to a transformer attention map, a diffusion sampler and a chip-to-cluster tour of the AI stack.

• Scroll-choreographed chapters (GSAP ScrollTrigger + Lenis) driving one 3D scene per theme
• Custom shaders: procedural planet, diffusion-style particle sampling, causal attention arcs, PCB traces
• Performance budget: capped DPR, half-resolution bloom, shader warm-up, OS-rendered cursors
• Next.js 16 app deployed on Vercel as its own project, linked from this site

Gundata: Agentic AI

Fall 2025 · Reinforcement Learning Testbed

A traditional Andhra Pradesh Sankranti dice game rebuilt as a testbed for AI agents — evaluating rule-based bots against a trained reinforcement learning opponent with live explainable decision-making. Demonstrates core ML engineering: clean MDP formulation, training at scale, and interpretability for downstream analysis.

• Tabular Q-learning agent trained over 20,000 self-play episodes on an 18-state MDP with convergence analysis
• Explainability dashboard logging each agent's reasoning and top-3 Q-values per move in real time
• Clean MVC game engine with two rule variants and multiple AI opponent personalities
• Full technical report and reproducible training pipeline for agent evaluation

MediTrust — Explainable AI Healthcare Risk Prediction

Spring 2026

Explainable cardiovascular risk prediction using Logistic Regression — ROC-AUC 0.87 with per-patient SHAP explanations for clinical interpretability. Full-stack deployment: FastAPI backend, React frontend, PostgreSQL database, AWS hosting, and GitHub Actions CI/CD for reproducible model serving.

• Logistic Regression model achieving ROC-AUC 0.87 on a held-out test set
• Per-patient SHAP explanations so every prediction includes a feature-contribution breakdown for clinical trust
• Full-stack production system: FastAPI backend, React UI, PostgreSQL persistence, Dockerized services
• AWS deployment with GitHub Actions CI/CD for automated testing and model versioning

LLM Evaluation — Handshake AI

Apr 2026–Present

Comparative evaluation of frontier LLMs in an agentic coding environment — custom task design, structured scoring, and detailed qualitative rationales that feed model improvement.

Campus-Objects — Multi-Class Object Detection

Fall 2025

LW-DETR multi-class detection on 3,000+ annotated campus images — 0.71 mAP@0.5, COCO-format pipeline with transfer learning and augmentation.

• Built and annotated a 3,000+ image campus dataset in COCO format with consistent labeling guidelines
• Fine-tuned LW-DETR via transfer learning, reaching 0.71 mAP@0.5 across multiple object classes
• Applied augmentation and evaluation pipelines for reproducible detection benchmarking

GeoAI Flood Detection System

Fall 2025

Semantic segmentation for flood-affected zones using attention U-Net on Sentinel-1 SAR imagery, with Grad-CAM visualizations for interpretability.

• Attention U-Net semantic segmentation on Sentinel-1 SAR imagery for flood-zone mapping
• Grad-CAM activation maps to verify the model attends to true flood signatures, not artifacts
• Reproducible PyTorch training pipeline built during AI-CHESS Lab research

Snap Tune — AI Music Recommender

Spring 2025

Multi-modal music recommender — BLIP image captioning + GPT mood inference + Spotify retrieval, deployed on Streamlit Cloud.

• BLIP image captioning for semantic scene understanding from user-uploaded photos
• DistilGPT2 mood inference bridging vision output to music-relevant emotional context
• Spotify API retrieval and playlist generation, deployed as an interactive Streamlit Cloud app

Gundata: Sankranti Dice

Interactive systems

Interactive recreation of a traditional Andhra Pradesh Sankranti dice game — turn-based scoring, desktop UI, and game-logic design alongside ML work.

• Turn-based dice gameplay with traditional scoring rules
• Java Swing desktop interface and state management
• Evidence of interactive frontend + game-logic skills