Projects
AI & Machine Learning Projects
Cadence Smart Health-Focused Dog-Collar
Developed a multi-modal AI model fusing acoustic, movement, and biometric data to detect pet stress, fatigue and health anomalies. Built a deep learning-based bark classification model for emotion detection, implemented anomaly detection for vital sign/activity monitoring and designed a dashboard for delivering real-time personalized insights to pet owners and veterinarians.
Duration: Jan 2025 – May 2025 | Role: Founding ML Engineer
Movie Recommendation System (ML in Production)
Engineered a production-grade movie recommender with PostgreSQL, Kafka, and modular pipelines, enabling real-time evaluation and scalable data management. Implemented canary testing, CI/CD, and MLflow provenance tracking, ensuring reliable deployments and secure experimentation in a cloud-like environment.
Duration: Jan 2025 – May 2025
Research & NLP Projects
Retrieval-Augmented Generation (RAG) System
Implemented an end-to-end RAG using LangChain and Llama 2 to answer factual and event-based questions about Pittsburgh and CMU. Built a custom knowledge base, implemented document retrieval and optimized response generation for better accuracy.
Duration: Jan 2025 – Mar 2025
Enhanced LLM Explanation Quality for Mental Health
Fine-tuned MentaLLaMA-7B with explanation-aware and emotionally instructed training, improving explanation precision (↑BARTScore +0.4) via LoRA, teacher forcing, reward scaling, and controlled data augmentation.
Duration: Feb 2025
Neural Machine Translation using RNNs & Attention
Developed & evaluated 8 NMT models using LSTM, GRU, and attention mechanisms for Western-Indian languages, enhancing translation precision. Results published in IEEE Xplore.
Duration: Jan 2022 – Aug 2022