Sharanya Thilagan

Software Engineer at Hubbell Incorporated

Full-stack DevelopmentSystem ObservabilityNatural Language ProcessingHigh-availability ArchitectureDatabase MigrationITSM Workflows

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About

I'm Sharanya Thilagan, a Software Engineer at Hubbell Incorporated based in Herndon, Virginia. My career has been a journey from consulting at EY to deep-diving into academic research at George Mason University, and now focusing on high-availability systems and observability. I specialize in a blend of full-stack engineering and AI, particularly Natural Language Processing. I am passionate about leveraging technology to drive meaningful change and optimizing systems to their highest potential—whether that's reducing downtime by 90% or automating manual workflows entirely. I'm always looking to connect with fellow engineers and researchers to discuss system architecture, AI trends, or impactful industry solutions. I offer a mix of practical industry experience and research-level technical depth, and I'm eager to explore how we can collaborate or share knowledge.

Networking

What I can offer

›Expertise in full-stack engineering and legacy system optimization.
›Research-level knowledge in AI and NLP.
›Experience in technical mentorship and automation workflows.

Looking for

›expanding my professional network
›exploring mutual opportunities in software engineering and AI

Best fit for

Software EngineersAI ResearchersAcademic ProfessorsTech Innovators

Current Interests

System OptimizationNatural Language Processing (NLP)Large Language Models (LLMs)Advanced Computer ArchitectureHigh-availability Systems

Background

Career

Began as an Analyst at EY, progressed to Associate Consultant, transitioned into academic research at George Mason University, and is currently a Software Engineer at Hubbell Incorporated.

Education

Master of Science in Computer Science from George Mason University (2022–2024); Bachelor of Engineering in Computer Science and Engineering from Sir M Visvesvaraya Institute Of Technology (2016–2020).

Achievements

›Reduced system downtime by ~90% at Hubbell through redundancy and failover logic.
›Improved database processing time by 40% for DNP3 applications.
›Eliminated 100% of manual effort in database upgrade scripts using Liquibase.
›Received 'Outstanding Master’s Student' award from George Mason University (2024).
›Boosted system monitoring coverage by 50% via Prometheus and Grafana.

Opinions

Technology should be leveraged to drive meaningful change.
Continuous learning and staying current with industry trends is essential for innovation.
Mentorship and knowledge sharing are vital for team success.