Bio

Hello! I am currently pursuing a PhD in Computer Science at the New Jersey Institute of Technology (NJIT), where I work in the Big Data Analytics Lab (BDAL). My research is centered on developing strategies to enhance fairness in peer-learning environments, with the aim of applying these strategies to ensemble methods in machine learning.

Prior to this, I was an ML Engineering Associate Manager at Accenture in Bangalore, as a part of the Applied Intelligence Hub team. My responsibilities included leading research projects in data engineering and natural language understanding. I bring over four years of experience in large-scale data analysis, data mining, model building, and deployment.

I have a good background in soft computing algorithms, fuzzy logic, and deep learning. Additionally, I have also worked as a data and cloud architect, designing and managing large-scale data models and procedures that align with business processes and policies. My experience has given me a strong grasp of process flows and best practices for implementing effective DevOps and MLOps solutions.

Outside of work, I enjoy swimming and cycling (although, to be honest, I haven’t cycled in quite a while). I am also a photography enthusiast and love traveling, though I rarely post my pictures on Instagram.

News

• May 28, 2024: Yay! Cleared the PhD qualifying exams.
• July 31, 2023: Officially the last working day! Resigning from my position as an ML Engineering Associate Manager from Accenture.
• Jun 26, 2023: Won the innovation award for for contribution towards designing and implementing Vector Databases.
• Jan 28, 2023: Enrolled as a Computer Science PhD Student at NJIT.

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