ParkWatch

June 2026

GitHub

• Built an AI-powered parking-enforcement intelligence dashboard for Bengaluru traffic teams with GraphSAGE hotspot forecasting and Mappls road-aware A* patrol sequencing.
• Added traffic-delay exposure estimates, analyst explanations, scenario analysis, and exportable action plans through a Next.js + FastAPI stack.

Research Corpus Agent

April 2026

GitHub

• Designed a multi-agent RAG system for scientific literature analysis over 100K+ arXiv papers using planner, retriever, analyst, and critic agents.
• Constructed a hybrid retrieval stack with BGE, BM25, ColBERT, reciprocal-rank fusion, cross-encoder reranking, and multimodal figure/table understanding.

GNSS Anti-Spoofing Detection

April 2026

• Designed an early-fusion Transformer for GNSS spoofing detection over 112-dimensional multi-channel feature sequences.
• Built physics-informed feature engineering pipelines and achieved a 0.971 average F1-score across 5-fold cross-validation.

Credit Card Default Prediction

April 2026 – May 2026

GitHub

• Developed an end-to-end credit-risk prediction pipeline on 30K customer records with SMOTE-based imbalance handling and model comparison across Logistic Regression, Random Forest, LightGBM, and XGBoost.
• Performed Bayesian hyperparameter optimization with Optuna and SHAP-based explainability, reaching 0.84 ROC-AUC with XGBoost.

GATE-IR

December 2025 – February 2026

GitHub

• Formulated a gated thermal perception pipeline that routes infrared images through weather-specific enhancement modules before YOLO-based detection.
• Improved thermal detection performance from 35% to 45% mAP@0.5 while preserving near-YOLO latency.

ASMS: Adaptive Semantic-Momentum Sampling

December 2025 – January 2026

GitHub

• Proposed a diffusion LLM decoding framework combining confidence momentum, semantic hysteresis, and entropy-aware control to mitigate token oscillation and hallucination lock-in.
• Improved GSM8K reasoning accuracy from roughly 60% to 78% over confidence-based remasking baselines.

FOCUS: Sparse Token Selection with Selective Attention

June 2025 – December 2025

• Trained a lightweight neural token-pruning model on SQuAD attention distributions to identify high-utility context tokens before inference.
• Pruned candidate context tokens by over 60% and achieved up to 1.7x decoding speedup while retaining over 97% of dense-attention QA performance.

AutoGenx

August 2025

GitHub

• Built a multimodal website-generation platform using Flask and Gemini APIs to transform text prompts, sketches, mockups, and Figma wireframes into deployable web apps.
• Implemented code generation, packaging, live preview, and GitHub Pages deployment workflows.

Elyx Health Dashboard

August 2025

GitHub

• Built a full-stack health intelligence platform with Flask, JavaScript, Tailwind CSS, and Chart.js for biomarkers, wearables, diagnostics, and patient-engagement views.
• Integrated GPT-based retrieval and question answering over structured and unstructured healthcare data.

ViralStake

October 2025

GitHub

• Developed a prediction platform using FastAPI, MongoDB, Streamlit, and Twitter APIs, enabling users to stake virtual assets on tweet-virality forecasts.
• Integrated Gemini-powered tweet analysis to generate virality scores and explainable engagement insights.

Image Classification Pipeline for an Adversarially Attacked Dataset

January 2025 – February 2025

GitHub

• Designed a Continuous Attribute Learning architecture using ResNet50 and multi-task learning to study interpretability, overfitting, and failure modes.
• Built a CLIP ensemble with prompt ensembling and test-time augmentation, achieving 96% accuracy and outperforming a single-model zero-shot baseline by 6%.

Coherent Multimodal Story Generation via Adaptive Feedback

December 2024 – January 2025

GitHub

• Fine-tuned OPT-1.3B using LoRA/PEFT on fantasy storytelling data and integrated it with Stable Diffusion 1.5 for a multimodal text-image generation pipeline.
• Implemented coherence scoring, dynamic summarization, entity tracking, and adaptive parameter control for long-horizon narrative consistency.