Vijay Saravana Jaishanker
California, United States
Software Engineer at Woven by Toyota Palo Alto
Vijay Saravana Jaishanker is a Senior Software Engineer with 6+ years of experience specializing in cloud-native distributed systems and ML infrastructure platforms. Based in Palo Alto, California, he combines expertise in Golang, Python, and Java with deep knowledge of Kubernetes, AWS, and distributed processing to design scalable backend solutions, orchestrate large-scale data pipelines, and optimize cloud deployments.
At Woven by Toyota (March 2023 - Present) as Software Engineer II, Vijay serves as a founding engineer for Toyota's next-gen software-defined vehicle validation platform. He led development of Vertex Studio, a test management and execution platform for virtual vehicle testing, driving the project from POC to production using Golang, PostgreSQL, and Kubernetes within three months. He enhanced performance by 60% through pre-caching data from SQS queues, enabled support for thousands of concurrent requests, and designed the Distributed Processing Engine using Flyte Map tasks replacing Apache Spark—achieving similar runtimes with 25% less overhead for ML workflows. He implemented Kubernetes informer using Go for distributed PyTorch training jobs as a cheaper, faster alternative to AWS Sagemaker, mentored a summer intern on microservices observability tools, and directly engaged with customers at Toyota's Tokyo headquarters.
At Freshworks Inc. (October 2020 - July 2021) as Senior Software Engineer, Vijay engineered WhatsApp proactive messaging APIs using Facebook business REST APIs in Java and automated infrastructure setup in Amazon EKS. He singlehandedly implemented SMS REST APIs using Java Twilio APIs, MySQL, and Redis, scaling WhatsApp, SMS, and Apple Business Chat APIs to 20,000+ enterprise customers worldwide with less than 0.1% message failure rate. He won back-to-back Sprint Awards for optimizing Kafka message delivery with exponential back-off algorithms, unified API contracts across messaging channels reducing codebase by 35%, and led a team of three building the omnichannel dashboard.
At Samsung Research Institute Bangalore (June 2018 - October 2020), promoted from Software Engineer to Senior Software Engineer, Vijay was part of the 5G modem team that launched the world's first 5G smartphone. He automated the internal modem crash management system with Python, MySQL, Flask-RESTful, and Selenium using master-slave thread architecture, reducing stability issue resolution time by 25%. He implemented proof of concept for the patent "Lockless resource management in a multicore RTOS" achieving 30% performance gain and received the Samsung Citizen Award in Q2 2019 for research ideation and development contributions.
His thought leadership includes co-authoring the most popular article in the Flyte Blog about using Flyte Map tasks instead of Spark, shared by Flyte's CEO on LinkedIn, and contributions to cloud and MLOps featured in TechBullion. He co-authored "Textual Feature Ensemble-Based Sarcasm Detection in Twitter Data" published by Springer in 2020 with 1,000+ accesses and 13 citations. His undergraduate project on detecting self-deprecating sarcasm for self-harm prevention was shared with SCARF (Schizophrenia Research Foundation).
At Woven by Toyota (March 2023 - Present) as Software Engineer II, Vijay serves as a founding engineer for Toyota's next-gen software-defined vehicle validation platform. He led development of Vertex Studio, a test management and execution platform for virtual vehicle testing, driving the project from POC to production using Golang, PostgreSQL, and Kubernetes within three months. He enhanced performance by 60% through pre-caching data from SQS queues, enabled support for thousands of concurrent requests, and designed the Distributed Processing Engine using Flyte Map tasks replacing Apache Spark—achieving similar runtimes with 25% less overhead for ML workflows. He implemented Kubernetes informer using Go for distributed PyTorch training jobs as a cheaper, faster alternative to AWS Sagemaker, mentored a summer intern on microservices observability tools, and directly engaged with customers at Toyota's Tokyo headquarters.
At Freshworks Inc. (October 2020 - July 2021) as Senior Software Engineer, Vijay engineered WhatsApp proactive messaging APIs using Facebook business REST APIs in Java and automated infrastructure setup in Amazon EKS. He singlehandedly implemented SMS REST APIs using Java Twilio APIs, MySQL, and Redis, scaling WhatsApp, SMS, and Apple Business Chat APIs to 20,000+ enterprise customers worldwide with less than 0.1% message failure rate. He won back-to-back Sprint Awards for optimizing Kafka message delivery with exponential back-off algorithms, unified API contracts across messaging channels reducing codebase by 35%, and led a team of three building the omnichannel dashboard.
At Samsung Research Institute Bangalore (June 2018 - October 2020), promoted from Software Engineer to Senior Software Engineer, Vijay was part of the 5G modem team that launched the world's first 5G smartphone. He automated the internal modem crash management system with Python, MySQL, Flask-RESTful, and Selenium using master-slave thread architecture, reducing stability issue resolution time by 25%. He implemented proof of concept for the patent "Lockless resource management in a multicore RTOS" achieving 30% performance gain and received the Samsung Citizen Award in Q2 2019 for research ideation and development contributions.
His thought leadership includes co-authoring the most popular article in the Flyte Blog about using Flyte Map tasks instead of Spark, shared by Flyte's CEO on LinkedIn, and contributions to cloud and MLOps featured in TechBullion. He co-authored "Textual Feature Ensemble-Based Sarcasm Detection in Twitter Data" published by Springer in 2020 with 1,000+ accesses and 13 citations. His undergraduate project on detecting self-deprecating sarcasm for self-harm prevention was shared with SCARF (Schizophrenia Research Foundation).
Vijay has authored six pending patents at Toyota on automotive software and embedded systems infrastructure and developed two proofs of concept at Samsung. He was a finalist in Toyota's SWARM Global Hackathon 2024 (final six among 20 global teams), won awards at the JP Morgan hackathon, contributed to the Make-A-Wish Foundation onboarding platform, and won multiple internal hackathons at Freshworks and Samsung.
His major projects include implementing a MapReduce framework using C++ gRPC achieving optimal efficiency with distributed processing, and developing LiDAR-based 3D object detection using Intel NCS2 achieving mAP of 58 with 2x inference speedup for self-driving cars. He led a government-funded smartphone-based examination system promoted by Tamil Nadu state government.
He holds a Master of Science in Computer Science from Georgia Institute of Technology (4.0 GPA, 2021-2023) where he served as teaching assistant for Advanced Operating Systems and Database Systems, and a Bachelor of Engineering in Computer Science from Anna University MIT Campus graduating First Class with Distinction (8.91/10.0 GPA, 2014-2018). He completed certifications in Neural Networks and Deep Learning, Sequence Models, and Blockchain Fundamentals.
What distinguishes Vijay is his ability to deliver mission-critical solutions across cutting-edge hardware at Samsung, scalable B2B messaging at Freshworks, and automotive AI infrastructure at Toyota. His expertise in Golang, Python, Java, Kubernetes, AWS, CI/CD, and Flyte positions him as an ideal technical leader for organizations requiring senior engineering expertise in cloud-native distributed systems, ML infrastructure orchestration, and high-performance backend platforms that drive innovation at massive scale.
His major projects include implementing a MapReduce framework using C++ gRPC achieving optimal efficiency with distributed processing, and developing LiDAR-based 3D object detection using Intel NCS2 achieving mAP of 58 with 2x inference speedup for self-driving cars. He led a government-funded smartphone-based examination system promoted by Tamil Nadu state government.
He holds a Master of Science in Computer Science from Georgia Institute of Technology (4.0 GPA, 2021-2023) where he served as teaching assistant for Advanced Operating Systems and Database Systems, and a Bachelor of Engineering in Computer Science from Anna University MIT Campus graduating First Class with Distinction (8.91/10.0 GPA, 2014-2018). He completed certifications in Neural Networks and Deep Learning, Sequence Models, and Blockchain Fundamentals.
What distinguishes Vijay is his ability to deliver mission-critical solutions across cutting-edge hardware at Samsung, scalable B2B messaging at Freshworks, and automotive AI infrastructure at Toyota. His expertise in Golang, Python, Java, Kubernetes, AWS, CI/CD, and Flyte positions him as an ideal technical leader for organizations requiring senior engineering expertise in cloud-native distributed systems, ML infrastructure orchestration, and high-performance backend platforms that drive innovation at massive scale.