Aug 2025 – Dec 2025 · 4 mos · Pittsburgh, Pennsylvania, United States

• 10-605/805: Machine Learning with Large Datasets, Prof. William Cohen
• Led recitations, office hours, and course Q&A for a graduate (MS/PhD) class on distributed ML

May 2025 – Aug 2025 · 3 mos · San Francisco Bay Area

• Software Engineering - AI Observability, Nutanix AI
• Built an agentic framework for automated root cause analysis of failures involving Nutanix Cloud Infrastructure, improving failure triage accuracy from ~35% to 76%
• Designed an end-to-end log observability system, leveraging Spark for telemetry ingestion, LangGraph for model/tool orchestration, and Ollama for efficient inference
• Developed a distributed tracing module to localize root cause failures and summarize entity traces by analyzing error logs, cutting down manual triage time from 45-60 minutes to <1 minute
• Built LiteLog (judged winners, 2025 Intern Hackathon), a log compression and search engine enabling advanced (timestamp/node/service/level-filtered), fast querying on compressed log indices, reducing storage requirements of failure triage by upto 93%

Feb 2025 – Dec 2025 · 10 mos · Pittsburgh, Pennsylvania, United States

• Contributing to Mirage, a tool that generates fast GPU kernels for PyTorch programs through superoptimization techniques
• Working on program partitioning framework to split and merge operators in a computational graph

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India

• BTP SDK for iOS backend engineering team
• Developed software tools for cloud application development on iOS and visionOS
• Implemented support for a new development landscape (Edge), designed and implemented authentication flow using SAML for this landscape
• Integrated SAP's Identity Authentication Service (IAS) with the SDK Assistant, allowing users to setup default authentication, single-sign on, and user management for their apps from an interactive wizard

Jun 2023 – Aug 2023 · 2 mos · Bengaluru, Karnataka, India

• Built an interactive dashboard to streamline internal communications and event management workflows
• Worked on a context-aware conversational agent to answer queries about employee benefits, along with a vector database for knowledge search

Dec 2022 – Feb 2023 · 2 mos · Bengaluru, Karnataka, India

• Developing mathematical models and transit route planning algorithms to predict congestion on Bangalore's BMTC bus transportation network
• Parallelized route assignment pipeline using OpenMP and attained significant (68x) runtime speedup
• Refactored data structures to optimise memory and runtime performance of multi-criteria route planning algorithm (McRAPTOR)
• Developed mapping and visualization module to plot network-wide congestion over time

Feb 2022 – Jun 2022 · 4 mos

• Working under the guidance of Prof. Mandayam Srivas on algorithms to prove permutation invariance in deep neural networks
• Implemented efficient SVD algorithm for sparse matrices, ported solver code from Python to C++

May 2021 – Jun 2023 · 2 yrs 1 mo · Udupi, Karnataka, India

• Member of AI (Perception and Planning) department of Project MANAS: a student project team building India's first driverless car.
• Worked on coverage path planning algorithms for an autonomous drone for AUVSI SUAS 2022
• Developed a shape recognition model to classify aerial images of targets using invariant Hu moments