About me.

I am an Applied Scientist with over seven years of hands-on experience in architecting large-scale distributed model training platforms. My expertise encompasses the development of innovative deep learning algorithms for search and recommendation engines, as well as the enhancement of ad relevance and quality. In my current role, I harness multi-modal datasets—including text, images, tables, and graphs—and utilize cutting-edge Transformer-based models to address intricate challenges in the realms of e-commerce and advertising.

My fervor for artificial intelligence is deeply anchored in my academic pursuits and research interests. I am a proud alumnus of Rutgers University, where I earned a Ph.D. in Computer Science and an M.S. in Electrical and Computer Engineering. I am committed to pushing the envelope in machine learning and computer vision, translating research breakthroughs into tangible solutions that enrich the experiences of countless customers and businesses.

Expertise:

• Domains: Deep Learning, Natural Language Processing, Information Retrieval, Ads
• Languages: Python, SQL, Java, C++
• Platforms & Tools: Unix, Linux, AWS, Apache Spark, PyTorch, Microsoft DeepSpeed
• Academic Credentials: Ph.D. in Computer Science and M.S. in Electrical and Computer Engineering from Rutgers University; B.Tech. in Electrical Engineering from the College of Engineering, Pune, India.