Passionate about problem-solving, engineering, and optimization, with approximately 4 years of professional experience in Software Engineering, and Machine Learning.Currently working as a Machine Learning Engineer at UCLA Brain Research and Artificial Intelligence Nexus (B.R.A.I.N.), developing solutions for deep learning based morphological segmentation and brain dynamics analysis of dense biological neural networks while ensuring high recall, minimal pre-processing and high scalability across large brain images using SOTA computer vision, graph theory, and generative algorithms.Previous roles include serving as a Full Stack Engineer at Microsoft TCS Cloud, developing a governance framework for Azure, covering the entire software development lifecycle and architectural design. Additionally, worked as a System Engineer at TCS, overseeing backend infrastructure, application development, and server operations for a prominent European bank.Holds an MS in Computer Science from UCLA, specializing in Software Engineering and Machine Learning. In the Summer of 2022, interned at Illumina, developing a graphics profiling and benchmarking tool for DNA sequencers and collaborating on genomic data analysis using deep learning. Projects include work in Multimodal Natural Language Generation, image, graphics, and video processing.Motivated by optimism and rigor, experienced in collaborating with diverse teams. Demonstrates perseverance and a continuous eagerness to learn, excels as an effective communicator with experience in leadership, presentation, and public speaking. Actively works towards fostering diversity and engagement within the tech industry through initiatives such as Women Techmakers, Google Developer Student Clubs, and community mentorship.Let's connect for meaningful discussions and potential collaborations!#AI #GenAI #MachineLearning #ML #SoftwareEngineering #ProblemSolving