Naveen Kumar Vedurupaka

Senior Software Engineer

Seattle, Washington, United States7 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building large-scale distributed systems.
Led cross-functional teams in AI service development.
Pioneered low-code platforms for GenAI workflows.

Stackforce AI infers this person is a SaaS and Cloud Computing expert with a focus on AI and payment systems.

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Skills

Core Skills

Machine LearningDistributed SystemsLlm InfrastructureGenerative AiLow-code Development PlatformsAi AgentsApi DesignNatural Language Processing (nlp)Payment SystemsDeep LearningComputer Vision

Other Skills

UX DesignSecurityPyTorchPython (Programming Language)JavaKotlinGroovyTensorFlowSoftware Project ManagementC (Programming Language)Data StructuresAlgorithmsSoftware DevelopmentC++

About

Senior Software Engineer at Netflix, building a unified ML platform that powers all Netflix consumer and media-production workloads. Previously a Tech Lead and Founding Engineer of multiple AWS AI services, including Lex and Bedrock. Deep expertise in architecting large-scale distributed systems, model inference platforms, traditional chatbots, and GenAI systems for multi-agent and RAG use cases. Proven leader of cross-functional teams across Software Engineering, Product, UX, ML, and Data.

Experience

7 yrs 9 mos

Total Experience

3 yrs 8 mos

Average Tenure

5 mos

Current Experience

Netflix

Senior Software Engineer

Dec 2025 – Present · 5 mos · Seattle, Washington, United States

Building a unified Machine Learning Platform that powers Netflix consumer and media production ML workloads.

Distributed SystemsMachine Learning

Amazon web services (aws)

4 roles

Senior Software Engineer

May 2025 – Dec 2025 · 7 mos · On-site

Senior Software Engineer at AWS Bedrock, delivering production hosting for Anthropic Claude Foundation Models for AWS customers. Worked on an intelligent auto-scaling and capacity rebalancing system that shifts GPU capacity across models based on real-time demand while respecting multi-node inference / disaggregated serving — operating at large scale.

LLM Infrastructure

Senior Software Engineer

Promoted

Apr 2024 – May 2025 · 1 yr 1 mo · On-site

Tech Lead for Bedrock Flows, a low-code/no-code platform enabling AWS customers to build GenAI workflows for agentic and automation use cases. Delivered a streaming data plane API that executes short-duration, in-memory flows via blocking calls for real-time scenarios. Built non-blocking data plane APIs plus a distributed workflow engine to run long-duration flows asynchronously with durability, fault tolerance, and durable results.

Distributed SystemsAI AgentsUX DesignGenerative AILow-Code Development Platforms

Software Engineer

May 2023 – Mar 2024 · 10 mos · On-site

Founding Engineer for Bedrock Agents – a platform to build, configure, and deploy autonomous AI agents that orchestrate foundation models, APIs, and data sources for complex reasoning, goal-oriented planning, and RAG, with built-in monitoring, security, and multi-agent collaboration.

AI AgentsAPI DesignSecurity

Software Engineer

Jul 2021 – May 2023 · 1 yr 10 mos · On-site

Part of Natural Language Understanding (NLU) team of AWS Lex, a fully managed conversational AI service. Shipped features for higher speech recognition and NLU accuracy by supporting SRGS-compliant XML grammars and runtime phrase hints. Worked on modernizing and optimizing the cost of the NLU training and inference platforms.

PyTorchMachine LearningNatural Language Processing (NLP)Python (Programming Language)Java

Amazon

Software Engineer

Jul 2018 – Jul 2021 · 3 yrs · Greater Chennai Area

Built large-scale systems that enable Amazon customers across various countries to pay for their e-commerce orders with their local payment methods. Created a Groovy-based DSL and low-cost, multi-tenant distributed workflow engine for complex payment flows.

KotlinGroovyPayment Systems

Indian institute of technology, hyderabad

Research Intern

May 2018 – Jul 2018 · 2 mos · Greater Hyderabad Area

Worked on the detection of pedestrians, vehicles, and other small objects in the images taken from drones in crowded areas using Deep Learning models.

Deep LearningTensorFlow