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Gowtham SivamGS
Open to opportunities

Gowtham Sivam

@gowthamsivam

Software engineer specializing in distributed systems, ML, and production-scale AI.

India
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What I'm looking for

I seek roles building scalable backend systems and production ML products, collaborating cross-functionally to deliver measurable impact and technical growth in a high-ownership environment.

I am a software engineer with strong experience building distributed systems and production ML applications, having delivered high-impact services at tier-1 tech companies. I have designed configuration and logging systems at scale, migrated services for performance gains, and developed retrieval-augmented and multimodal ML pipelines that serve millions of daily requests.

My work blends backend engineering (Java, Python, Go) with ML and NLP research, producing measurable results—reduced onboarding and query latencies, improved model relevance and catalog accuracy, and significant automation of manual processes. I prioritize scalable design, cross-team integration, and practical ML implementations that drive product value.

Experience

Work history, roles, and key accomplishments

Uber logoUB
Current

Software Engineer

Uber

Oct 2024 - Present (1 year 3 months)

Built a global configuration tool powering 90%+ of configuration use cases and reducing onboarding time by 30%; optimized logging performance to cut query latency by 40% across 50M+ records and integrated services across multiple codebases to reduce cross-team delivery time by 20%.

SS

Software Engineer - ML Research

State Street

Jan 2022 - May 2024 (2 years 4 months)

Architected AI-driven financial applications using LangChain and scalable backends supporting 1M+ requests/day with 99.9% uptime; improved RAG retriever ranking to boost response relevance by 12% and reduced manual effort by 40% via NLP and computer vision tools.

Education

Degrees, certifications, and relevant coursework

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor of Technology, Electronics and Communication Engineering

2018 - 2022

Grade: CGPA: 8.4 / 10

Completed a Bachelor of Technology in Electronics and Communication Engineering with First Class with Distinction and a CGPA of 8.4/10.

Tech stack

Software and tools used professionally

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