Sunil Muralidhara

Senior Software Engineer

San Jose, California, United States11 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected a $1.7B revenue optimization service at Amazon.
Spearheaded AWS DeepRacer ecosystem for custom reinforcement learning.
Engineered multi-modal patient de-duplication pipeline using CNNs.

Stackforce AI infers this person is a SaaS and Fintech expert with a focus on Machine Learning and Distributed Systems.

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Skills

Core Skills

Distributed SystemsTechnical GovernanceOperational ExcellenceData Pipeline EngineeringMachine LearningData EngineeringHealthcare InformaticsFinancial Technology

Other Skills

Amazon QAWS RoboMakerReinforcement LearningConvolutional Neural Networks (CNN)Identity ResolutionEnsemble MethodsAnomaly DetectionClinical Decision SupportKalman FiltersData VisualizationFinancial EngineeringStakeholder ManagementMulti-threaded ProgrammingMLOpsAgentic AI

About

Strategic Technical Leader | Machine Learning & Distributed Systems Technical leader with 11+ years of experience architecting high-concurrency distributed systems and large-scale ML infrastructure. Currently directing technical governance at Amazon Search, where I define long-term roadmaps and lead the execution of global services, including the launch of the $1.7B LASSO revenue optimization service. Staff-level Scope & Influence: • Governance: Chair organization-level RFC reviews for 30+ engineering teams, ensuring architectural consistency and system observability for high-throughput search widgets. • Technical Vision: Bridging the gap between cutting-edge research and production scalability; authored peer-reviewed research at NeurIPS on unified distributed environments and Sim-to-Real RL. • Sponsorship: Actively sponsor and mentor senior technical talent, driving organizational excellence and fostering a culture of rigorous system design.

Experience

Amazon

Senior Software Development Engineer

Sep 2022 – Present · 3 yrs 6 mos · Palo Alto, California, United States · On-site

Staff-Level Scope
Organizational Leadership: Defined the technical vision and reliability standards for the WRS (Widget Ranking Service), overseeing large-scale ML pipelines and high-concurrency inference services.
High-Impact Architecture: Architected and spearheaded the global rollout of new LASSO (Last Stage Optimization) service, generating $1.7 billion in revenue in its first year (2025).
Revenue Growth: Engineered the ACS (Automatic Content Suppression) system, supporting $636 million in cumulative revenue. Optimized data pipelines to save $1 million in annual infrastructure costs, receiving the Amazon Sweeper Award.
Strategic Governance: Spearheaded a Time-To-Live (TTL) and automated suppression framework across 30+ teams to manage 1,700+ fixed placement widgets, mitigating a 2.5x surge and ensuring long-term architectural scalability.
Mentorship: Acted as a technical sponsor for senior and mid-level engineers, leading design reviews and establishing best practices for distributed system scalability.

Distributed SystemsAmazon QTechnical Governance

Amazon web services

Software Development Engineer II

Jul 2018 – Aug 2022 · 4 yrs 1 mo · Palo Alto · On-site

Autonomous Systems: Defined the long-term technical vision for the AWS DeepRacer ecosystem, architecting a unified distributed environment that enabled thousands of developers to integrate custom reinforcement learning algorithms
Cost Optimization: Re-architected ML pipelines to run simulations directly on SageMaker vs. RoboMaker, establishing a new organizational pattern that reduced training costs by 80% (awarded Amazon Frugality Award).
Machine Learning Research: Spearheaded the "RLLabs" initiative for custom algorithms (BYOA) using Gazebo and Unity; published peer-reviewed research in NeurIPS on Unified Distributed Environments and Sim2Real reinforcement learning

Distributed SystemsAWS RoboMakerMachine Learning

Nextgate

Research Engineer

Feb 2018 – Apr 2018 · 2 mos · Monrovia, California, United States · On-site

• Engineered a multi-modal patient de-duplication pipeline using CNNs and ensemble models (SVM/Logistic Regression) to optimize feature weighting.

Convolutional Neural Networks (CNN)Identity ResolutionMachine LearningData Engineering

Zoll-itamar remote patient monitoring business unit (formerly spry health)

Algorithm Engineer

May 2017 – Aug 2017 · 3 mos · Palo Alto, California, United States · On-site

• Architected a predictive health system using Kalman Filters to forecast vitals from PPG signals and developed a Django visualization suite for real-time anomaly detection.

Anomaly DetectionClinical Decision SupportHealthcare InformaticsData Engineering

D. e. shaw india private limited

Senior Member Technical

Jul 2012 – Jul 2016 · 4 yrs · Hyderabad Area, India

Distributed Systems: Spearheaded end-to-end design of large-scale, multi-threaded applications anchoring an ABS strategy contributing to $1B in profit.
Technical Ownership: Served as the sole technical lead for New York traders, directing the development of real-time dashboards for (Non-Performing Loan) and CMBS (Commercial Mortgage-Backed Securities) pre-trade analysis.

Financial EngineeringStakeholder ManagementFinancial TechnologyDistributed Systems