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Siddharth Uppal
Software Engineer @Applied Materials
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WORK HISTORY
Software Engineer @Applied Materials
Santa Clara, CA, US
Developed a smart graph and rule-based automation system for gas panel monitoring and cleaning insemiconductor manufacturing, reducing system failures by 3% and saving millions- Engineered a GenAI assistant using Google Gemini and OpenAI GPT, automating documentation and release note workflows, saving ~50 hours per engineer annually enterprise-wide- Redesigned the sequencer module using multithreading and asynchronous callbacks, improving multi-side recipe execution throughput by 5% across precision products- Implemented a distributed messaging interface for host-to-tool communication, recipe management, and remote command execution using SECS/GEM. Ensured compliance with SEMI industry automation standards- Drove quality and reliability initiatives by designing Python-based CI/CD validation hooks for configuration and equipment-generated data, proactively preventing client-impacting misconfigurations across global deployments- Enhanced mission-critical software and resolved 200+ escalated customer issues, improving system stability, uptime, and fleet-wide reliability- Collaborated with cross-functional teams to understand semiconductor processes and equipment constraints, translating complex domain requirements into robust, high-precision software solutions-
EDUCATION
Jaypee Institute Of Information Technology
Bachelor of Technology - BTech, Computer Science
Arizona State University
Master of Science - MS, Software Engineering
ABOUT SIDDHARTH UPPAL
I’m a software engineer who enjoys solving ambiguous, large-scale problems and building systems that scale reliably. I’m motivated by taking ideas from concept to production and delivering software that creates measurable impact.I’ve worked across backend systems, data platforms, and real-time applications, which has given me a strong foundation in scalable design, reliability, and performance optimization. I’m comfortable navigating complex environments where requirements evolve and tradeoffs matter- & : At Applied Materials, I build mission-critical software that prevents system failures and ensures fleet-wide reliability for high-precision semiconductor equipment. & : At DataStax, I designed hierarchical data pipelines and leveraged BigQuery to enable business intelligence and data-driven decision-making- & : Led a team during a U.S. Department of Defense (NSIN) capstone project to deliver end-to-end, real-time asset monitoring systems: My background spans large-scale data processing, backend services, and software tightly coupled with hardware, enabling me to reason across both system architecture and low-level implementation.Outside of work, I’m a runner, traveler, and board game enthusiast who’s always on the lookout for great new restaurants.
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