Saatwik N.

Senior Software Engineer

San Francisco, California, United States7 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building high-performance ML infrastructure.
  • Focused on optimizing GPU throughput for deep learning.
  • Experience in large-scale distributed systems.
Stackforce AI infers this person is a SaaS expert specializing in machine learning and distributed systems.

Contact

Skills

Core Skills

Distributed SystemsMachine LearningLarge Scale Systems

Other Skills

AlgorithmsBig DataCUDAControl LayerData StructuresDatabasesDistributed TrainingDistributed Transaction TracingEvent-driven WorkflowsGPU OptimizationGenerative RecommendersInference SystemsJavaLLMsLog Monitoring

About

Building high-performance ML infrastructure for serving Transformer-based recommenders, LLM-style architectures and other large-scale deep learning systems. My focus is on distributed systems, inference serving, and performance engineering. Currently, I’m obsessed with squeezing every last drop of throughput out of GPUs.

Experience

Linkedin

2 roles

Senior Software Engineer – Inference & Model Serving Infrastructure

Promoted

Apr 2022Present · 3 yrs 11 mos

  • Working on real-time Generative Recommender systems (Transformer-based sequence models) powering Feed and Ads. At scale, every millisecond counts; I engineer systems so inference feels instant.
  • Model Serving · Inference Systems · Transformers · LLMs · Generative Recommenders · Distributed Systems · GPU Optimization · CUDA · TensorRT · ONNX · Nsight Systems
Model ServingInference SystemsTransformersLLMsGenerative RecommendersDistributed Systems+6

Software Engineer

Mar 2020Mar 2022 · 2 yrs

  • Built and scaled ProML, LinkedIn’s internal ML infrastructure platform designed to increase AI engineers’ productivity.
  • Contributed across the stack: distributed training, model management, and monitoring systems (including model health assurance).
Distributed TrainingModel ManagementMonitoring SystemsMachine LearningDistributed Systems

Intuit

2 roles

Software Engineer

Aug 2018Feb 2020 · 1 yr 6 mos

  • Developed and scaled the Unified Notifications Platform, delivering ~30M notifications per day across Intuit’s ecosystem.
  • Built features across all layers of the stack — control layer, event-driven workflows, databases, and user-facing interfaces — to enable reliable, low-latency communication at scale.
Control LayerEvent-driven WorkflowsDatabasesUser-facing InterfacesDistributed SystemsLarge Scale Systems

Software Engineer Intern

May 2017Jul 2017 · 2 mos

  • Worked in the Service Infrastructure team to build a NodeJS library to perform distributed transaction tracing and allow efficient log monitoring.
NodeJSDistributed Transaction TracingLog Monitoring

Education

International Institute of Information Technology Hyderabad (IIITH)

Bachelor's degree — Computer Science

Jan 2014Jan 2018

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