CV

M.S. Computational Data Science Carnegie Mellon University, School of Computer Science
2022 – 2023

Coursework: Cloud Computing, Deep Learning, ML, Interactive Data Science

B.Tech. Computer Science & Engineering PES University, Bengaluru
2018 – 2022

Coursework: Algorithms, Data Structures, Data Analytics, Big Data, Databases

Machine Learning Engineer 3 Adobe · San Jose, CA
Jul 2025 – Present
  • Scaled LLM evaluation framework for efficiency and control, increasing development velocity
  • Developed evaluator for creativity in marketing content aligned with human preferences
  • Contributed to conversational agentic system for GenStudio marketing content generation
  • Improved system reliability through multi-region support, model deployments, and latency improvements
Software Engineer 2 Adobe · San Jose, CA
Feb 2024 – Jul 2025
  • Built evaluation frameworks and benchmarks for LLM-powered content generation, improving efficiency by 60%
  • Led prompt parsing initiative, increasing instruction adherence by 50%+
  • Developed multimodal content translation POCs (text, image, video);
  • Enhanced observability of content generation pipeline across environments
Software Engineering Intern Adobe · San Jose, CA
May 2023 – Aug 2023
  • Enhanced Distributed Tracing Service for Adobe Business Platform's Java backend
  • Boosted event monitoring efficiency by 50%; improved dashboard reliability by 70%
Graduate Teaching Assistant — Cloud Computing (15-619) Carnegie Mellon University · Pittsburgh, PA
Dec 2022 – May 2023
  • Overhauled Team Project component for a class of 130+ students
  • Benchmarked 50+ microservice cluster configurations to set course targets
Software Engineering Intern Komprise · Bengaluru, India
Jan 2022 – Jun 2022
  • Overhauled automation framework libraries in Python, reducing manual effort by 80%
  • Contributed to Komprise's Azure Marketplace offering, yielding a 33% increase in customer base
Research Intern Parallel Systems Research Lab · Bengaluru, India
May 2020 – Dec 2020
  • Built a deep learning-based source code plagiarism detection tool (90%+ accuracy)
  • Published 2 papers in IEEE and conference proceedings
Languages
Python Java TypeScript JavaScript Scala C R
Frameworks & Tools
PyTorch Spark Docker Kubernetes LangSmith LangGraph WandB Grafana SpringBoot DataBricks
Cloud & Data
AWS GCP Azure PostgreSQL MySQL MongoDB Cassandra
Domains
Machine Learning LLM Evaluation Agentic AI Cloud Computing Data Engineering Data Science & Analytics
Cloud Computing (15-619) Carnegie Mellon University
Spring 2023
Data Analytics (UE19CS312) PES University
2021