Noble Varghese

Senior Software Engineer at Sprinto

Bengaluru, Karnataka, India
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Summary

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Noble Varghese is a Senior Software Engineer based in Bengaluru with 3 years of hands-on experience building scalable, cost-efficient backend systems across Python, Go, and TypeScript. He has a track record of driving measurable business impact—cutting AWS costs by over 50%, achieving 99.997% uptime for mission-critical services, and speeding CI/CD from 38 to 7 minutes. Noble has engineered high-throughput Kafka pipelines, optimized cloud-native infra using open-source stacks (Grafana, Loki, Quickwit, Vector.dev) and built popular SDKs and integrations for open-source AI tooling like LangchainJS and Llamaindex. He combines pragmatic infrastructure automation (ECS/EKS, Terraform/CDK) with product-focused engineering, notably delivering an RAG system and Temporal-based workflows that boosted usage by 40%+. Passionate about AI-driven solutions and community contribution, he balances production reliability with developer experience improvements that reduce costs and accelerate delivery.
code3 years of coding experience
job5 years of employment as a software developer
book12th Standard, CBSE, 12th Standard, CBSE at Maharishi International Residential School
bookKendriya Vidyalaya Sangathan
bookBachelor of Technology - BTech, Industrial Engineering, 7.8 / 10, Bachelor of Technology - BTech, Industrial Engineering, 7.8 / 10 at College of Engineering, Trivandrum
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Stats
21reputation
643reached
1answer
0questions
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Github Skills (85)

parser10
vector-database10
prompt-engineering10
stream-processing10
llama-index10
decorators10
generative-ai10
fine-tuning10
pipeline10
gpt10
application10
router10
vector10
gateway10
langchain10

Programming languages (5)

TypeScriptRustGoJupyter NotebookPython

Github contributions (5)

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noble-varghese/llama_index

Jun 2023 - Dec 2023

LlamaIndex (GPT Index) is a data framework for your LLM applications
Contributions:3 reviews, 3 PRs, 92 pushes in 6 months
noble-varghese/langchain

Sep 2023 - Oct 2023

⚡ Building applications with LLMs through composability ⚡
Contributions:2 PRs, 36 pushes, 1 branch in 29 days
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