Atulya Bist

EXPERIENCE

Applied Materials

Data Scientist -- Intern | Santa Clara, USA | May 2025-August 2025

Developed a Natural Language Query (NLQ) layer over analytics dashboards, reducing time-to-insight from 10 minutes to under 2 minutes for non-technical users. Leveraged LangGraph, MCP servers, and RAG pipelines to orchestrate multi-step LLM interactions with backend data systems, enabling context-aware semantic search.

Informatica

Associate Software Engineer | Bengaluru, India | June 2022-December 2023

Iteratively improved the PowerCenter Assessment tool with monthly feature releases, adding automated classification logic that reduced manual assessment effort by 40% and accelerated cloud migration timelines for over 15 enterprise clients.
Architected migration of 100+ queries from MySQL to PostgreSQL to consolidate database infrastructure, reducing licensing overhead and simplifying the assessment tool's technology stack

Adobe

Intern | Noida, India | June 2021-August 2021

Built an automated shift adherence monitoring system using Java WebSockets and Servlets, tracking team activity across Slack channels for 25+ support engineers and automating weekly compliance reports.
Designed a monitoring dashboard for high-priority client events tracking key service metrics, reducing incident response time by 30% and enhancing visibility during peak usage periods

EDUCATION

University of Southern California

Master's in Computer Science (GPA: 3.80/4.0) | Los Angeles, California | January 2024-December 2025

Relevant Coursework: Analysis of Algorithms, Deep Learning, Advanced Data Stores, Multimedia System Design, Robotics

ACADEMIC PROJECTS

Stock Watch App (NextJS, ExpressJS, Swift, Google Cloud Platform)

Designed and developed a cross-platform stock monitoring application with server-side rendering using Next.js and a Node.js backend. Integrated real-time stock APIs, deployed backend services on Google Cloud Platform, and ported the application into a fully functional iOS app using Swift.

3D Human Reconstruction Using Gaussian Splatting

Built a complete pipeline for 3D human reconstruction by integrating Gaussian Splatting with parametric SMPL body models. For this project, I conducted my own data collection by recording and processing video footage to create a custom dataset, before chaining together segmentation (SAM), pose estimation (OpenPose), mesh fitting (SMPLify-X), and surface-embedded Gaussian rendering

FIFO Buffer Replacement in PostgreSQL (C++)

Replaced the clock sweep buffer replacement algorithm in PostgreSQL with a FIFO strategy to better understand low-level system performance.

TECHNICAL SKILLS

Frontend: React.js, Next.js, Swift (iOS)
Backend: Node.js (Express), Java, Python, C++
Database: MongoDB, PostgreSQL, Oracle SQL, MySQL
Cloud/DevOps: AWS (EC2), Google Cloud Platform (GCP), Docker
Messaging & Distributed Systems: Kafka, RabbitMQ