Master's Student in Computer Engineering - Artificial Intelligence | AI and Software Engineering Enthusiast
Master’s student in Artificial Intelligence with 2+ years of hands-on experience in NLP, deep learning, LLMs, RAG systems, and knowledge graphs. Strong foundation in algorithms, data structures, software engineering, and problem solving, complemented by research experience in LLMs and knowledge sources. Passionate about learning and experimenting with emerging AI technologies to contribute to impactful software and AI projects in industry.
Developed a retrieval-augmented conversational agent using transformer embeddings on the CMU Book Summaries dataset, integrating a vector DB with hybrid semantic retrieval for relevance and performance evaluation.
Built a real-time system to analyze and visualize collective sentiment across multiple Twitter streams for multiple end users using Apache Kafka and TinyBERT.
Designed a classification-based system for taxonomy discovery with fine-tuned BERT-Large, demonstrating that our system achieved performance comparable to the much larger LLaMA 3 70B.
Fine-tuned ParsBERT on a subset of the Degarbayan-SC dataset for paraphrase detection, achieving an F1-score of 98.4% on Degrabayan-SC and 90.1% on ExaPPC, showcasing the model’s effectiveness and cross-dataset generalization.