Summary

Researcher passionate about advancing knowledge through rigorous research and innovation.

Education

• Master of Science in Computer Science

  2027-05
  University of North Carolina at Chapel Hill

  GPA: 4.0

  Courses: LLMs in the Human World, Advanced Machine Learning, Reading and Research
• Bachelor of Science in Computer Science and Engineering

  2023-05
  National Institute of Technology, Tiruchirappalli

  GPA: 3.9

  Courses: Machine Learning, Deep Learning, Artificial Intelligence and its Applications, Database Systems

Work Experience

• Software Engineer, Consumer Technology

  2023-08 - 2025-07
  Wells Fargo

  Developed GenAI-powered tools, microservices, and automation pipelines. Achieved 35% productivity improvement and 90% workload reduction through innovative solutions.

  • Accelerated developer productivity by ~35% by deploying GenAI-powered VS Code extensions
  • Handled 5K+ concurrent users with <200 ms latency using Java/Spring Boot microservices
  • Enhanced user engagement by 25% by migrating legacy applications to React micro-frontends
  • Reduced manual workload by 90% through automated batch job pipelines
• Research Assistant

  2021-05 - 2022-12
  New York University

  Conducted research on fairness-aware machine learning and personality computing under Dr. Hanan Salam and Dr. Oya Celiktutan.

  • Improved fairness by ~35% in multi-modal ML models using novel fairness loss functions
  • Increased prediction accuracy by 15% through personalized AutoKeras CNN architectures
  • Co-authored peer-reviewed papers in IEEE TAFFC, ACMM, and PMLR
• Intern Analyst, Consumer and Small Business Banking

  2022-06 - 2022-08
  Wells Fargo

  Developed real-time analytics pipelines and observability dashboards using modern cloud technologies.

  • Reduced event processing latency to 190 ms (40% decrease) for 10K+ concurrent users
  • Tripled telemetry coverage by building React observability dashboards
  • Enhanced reliability through containerized microservices and multi-region deployments

Skills

Publications

• Towards Generalised and Incremental Bias Mitigation in Personality Computing

  2024
  IEEE Transactions on Affective Computing

  Presents novel approaches for generalized and incremental bias mitigation in personality computing systems.

  View Publication
• Optimized Reversible Cellular Automata Based Clustering

  2023
  Cellular Automata and Discrete Complex Systems (AUTOMATA 2023)

  Explores the use of reversible cellular automata for efficient clustering algorithms.

  View Publication
• Generalised Bias Mitigation for Personality Computing

  2023
  Proceedings of the 1st International Workshop on MRAC 2023, ACM MM conference

  Introduces generalized bias mitigation techniques for personality computing.

  View Publication
• Learning Personalised Models for Automatic Self-Reported Personality Recognition

  2022
  Understanding Social Behavior in Dyadic and Small Group Interactions, PMLR 173:53-73

  Develops personalized deep learning architectures for automatic personality recognition.

  View Publication

Teaching

• CSPC31: Principles of Programming Languages
  National Institute of Technology, Tiruchirappalli

  Role: Teaching Assistant

  Class size: 75 students

Interests

• Fairness-aware Machine Learning

  Bias Mitigation, Fairness Metrics, Multi-modal Learning
• Large Language Models

  LLM Alignment, Multi-lingual Evaluation, Ethical AI