As a researcher, I am involved in advanced research and development within the field of AI, with a specialization in Deep Learning (DL) and Natural Language Processing (NLP). My primary focus includes prototyping, leading POC projects, and the development and evaluation of AI initiatives and services to meet project objectives. I have hands-on experience in implementing/fine tuning/prompting LLMs using PyTorch, Hugging Face API, and OpenAI API.

At Reveal Surgical, I collaborate with cross-functional teams to develop an AI system focused on real-time decision-making. My role involves overseeing the entire lifecycle of data science projects—from prototyping, designing data pipelines, feature engineering, implementing and evaluating SOTA ML and DL algorithms, documentation, deployment, and monitoring.

• Published 7+ research papers based on newly developed optimization algorithms to solve various data science tasks, including data classification, dimensionality reduction, and sparse signal recovery using structured and unstructured datasets, such as text, ECG, speech, and images.• Utilized techniques such as convex optimization, heuristics, and linear programming to develop novel approaches to solving complex optimization problems.• Provided guidance and support to junior team members on complex projects, overseeing critical stages such as data analysis processes, algorithm development, and writing scientific papers.

• Algorithms and Data Structures (SYSC 2100)• Systems and Simulations (SYSC 3600)- Managed and coordinated a team of 23 teaching assistants, overseeing task assignment, training, support.- Mentored students in course materials related to programming, data structure, and systems and simulations, while developing and delivering lectures, lab materials, and providing supervision to ensure successful completion of lab projects.- Designed and implemented an efficient structure for grading approximately 600 students' exams, maintaining accuracy and consistency in evaluation.

Awarded 2019-20 Melody Mastad Award as Excellence Student Assistantship.

• Designed and published a new pipeline to recover compressed speech signal while maintaining quality.• Developed and implemented a new pipeline for denoising compressed speech signals.