Software engineer focused on building
reliable systems and AI infrastructure.

Master’s student in Computer Science at USC, currently based in Los Angeles, seeking full-time software engineering roles.

Interested in applied AI systems and infrastructure, with hands-on experience designing and operating production software spanning database internals, distributed systems, and scalable user-facing platforms at AWS, HPE, and USC.

Education

University of Southern California

Masters of Science in Computer Science · Aug 2024 – May 2026

Relevant coursework: Distributed Systems, Foundations of Modern Data Management, Analysis of Algorithms, Applied Natural Language Processing.

Vellore Institute of Technology

Bachelor of Technology in Computer Science · 2019 – 2023

Experience

Production systems built, optimized, and operated in real-world environments.

Amazon Web Services — Software Dev Engineer Intern

May 2025 – Aug 2025 · East Palo Alto, CA

  • Improved RDS memory utilization by 40% through dynamic buffer cache tuning.
  • Reduced simulated memory bottlenecks by 60% across Multi-AZ workloads.

USC Information Technology Services — Part-time Student Worker

Jan 2025 – Present · Los Angeles, CA

  • Led development of the RoomFinder app (React, React Native), onboarding 200+ classrooms with 360° panoramas and room metadata, enabling students to locate rooms 2× faster during peak semesters.
  • Contributed to the VIBE Dashboard (MERN), providing real-time visibility and alerting for 200+ Shure microphones to ensure uninterrupted lecture audio.

Hewlett Packard Enterprise — Systems / Software Engineer

Jan 2024 – Jul 2024 · Bangalore, India

  • Automated pre-merge workflows using Python and Slack API, eliminating 20+ hours of manual scheduling per week through real-time notifications.
  • Accelerated an internal test framework with parallel SSH and Python threading, reducing execution time by 33% (from 90 minutes) across 6 of 10 test buckets.

Hewlett Packard Enterprise — Research & Development Intern

Jan 2023 – Oct 2023 · Bangalore, India

  • Enhanced HPE iLO build pipelines using Ansible, Docker, and Python automation, orchestrating Kubernetes deployments to reduce pipeline downtime by 50% and eliminate Jenkins single points of failure.
  • Restructured Jenkins workflows from sequential to distributed execution, cutting build times from 1 hour to 25 minutes and accelerating daily releases.

TGH Tech — Frontend Developer Intern

Jun 2022 – Jul 2022 · Kerala, India

  • Translated Figma designs into responsive React components with infinite scrolling and automated request flows, reducing response time by 40%.
  • Contributed to the Social Town platform using React and Redux Toolkit, building scalable state management for a community-driven application.

Capabilities

Technical capabilities shaped by systems research, production engineering, and applied machine learning work.

Programming Languages

C++, Java, Python, Go, TypeScript, JavaScript, SQL

Systems & Databases

PostgreSQL, MySQL, MongoDB, DuckDB, B-Tree & IVF indexing, Query Optimizers, Concurrency, Distributed Systems

AI & Vector Systems

Vector Search, ANN (IVFFlat, IVFPQ), Embeddings, RAG pipelines, PyTorch, XGBoost, LSTM

Frontend & Infrastructure

React, Next.js, FastAPI, Docker, Kubernetes, AWS, CI/CD, performance-aware UI design

Selected Projects

A selection of work demonstrating systems thinking, performance optimization, and production-ready engineering.

DuckANN

Featured

Database-native vector search for DuckDB with product quantization and hybrid filtering, enabling semantic workloads inside the query engine.

~32× memory reduction · 1.3–2.8× latency improvement

View code →

PostgreSQL B-Tree Range Scan Optimization

Optimized PostgreSQL’s B-Tree access method by adding leaf-page prefetching and linear-scan shortcuts, overlapping I/O and CPU to reduce branch mispredictions and improve range-scan performance.

Up to 34% latency reduction · I/O-bound workloads · PostgreSQL 17.4

F1 Race Predictor

Real-time race analytics platform using FastAPI, Redis, and ML models to predict overtakes and pit strategies from live telemetry.

Sub-200ms latency · real-time WebSocket updates

Contact

If you’re hiring for frontend, systems, or product engineering roles — or want to discuss databases, distributed systems, or AI infrastructure — I’d love to connect.

Email →LinkedIn →