नमस्ते! I am a passionate and an inquisitive researcher with a strong background in Artificial Intelligence and Computer Science and an ardor for expanding the depths of knowledge and pushing the boundaries of technology in a research and innovation driven environment.
I am pursuing a Masters in Computer Science at the University of Southern California, where I am working as a Research Assistant in the SLURM Lab under the guidance of Prof. Daniel Seita on Large Pre-Trained Models for Robotic Manipulation. I obtained my Bachelors degree from the Indian Institute of Technology Delhi in Computer Science and Engineering, where I had the pleasure of working with Prof. Parag Singla on Neural Machine Translation, and with Prof. Rahul Narain on Physics-Based Simulation. During my undergrad, I visited the National University of Singapore as a Research Intern where I worked with Prof. Arnab Bhattacharyya on Causal Inference.
In addition to my academic achievements, I have gained significant industry experience. This includes a substantial role as a Software Development Engineer at Adobe, where I contributed to Adobe Express for two years and a research internship at Adobe where I worked with Dr. Sumit Shekhar on Document Intelligence.
I am interested in deepening our understanding of Pre-Trained Foundation Models at a pragmatic level and utilizing this knowledge to achieve long-term research goals, with a current focus on creating a generalist agent for robotic manipulation. More specifically, my current research work is aimed towards developing robotic systems capable of handling complex real-world scenarios without having to rely on task specific training demonstrations, along with emphasizing fair evaluation of the generalist robot agents as well as the underlying Pre-Trained Models.
Building on this foundation, I also aspire to explore the application of Multimodal Learning, Foundation Models, and Social Robotics to improve interpersonal dynamics and facilitate human interaction for individuals with chronic mental health conditions. Additionally, I stay engaged with recent research trends in understanding and mitigating biases and stereotypes in language models, with an interest in exploring how social intelligence can be imparted to these models in the future. My research interests seek to integrate these diverse yet complementary areas, with a particular focus on advancing the capabilities of foundation models to create more adaptable, socially aware, and intelligent robotic systems.