Sarvesh Kesharwani

Senior Software Engineer

Bengaluru, Karnataka, India9 yrs 4 mos experience

Key Highlights

Expert in distributed systems and machine learning infrastructure.
Proven track record at top tech companies.
Passionate about AI and scalable solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Contact

Skills

Core Skills

Distributed SystemsMachine LearningServerless ComputingMicroservicesBackend DevelopmentOpen Source ContributionCloud Infrastructure

Other Skills

JavaPythonKubernetesAWSPyTorchSageMakerKafkaSpringOpenwhiskPostgreSQLApache NetBeansSpring MVCSQLAlgorithmsData Structures

About

I am a Senior Software Engineer specializing in Distributed systems, and large-scale machine learning infrastructure. With 8+ years of industry experience at companies like Salesforce, Google, and Directi, I have built and optimized backend systems using Java, Python, Spring, Kubernetes, Kafka, SageMaker etc, delivering scalable, high-performance solutions across domains. My expertise includes distributed architectures, real-time data pipelines, recommendation systems, and ML model lifecycle management. I have worked extensively on training pipelines, inference optimization with NVIDIA Triton, and transformer-based models to improve personalization at scale. Currently at Salesforce, I focus on integrating AI models into enterprise-grade recommendation systems that power products like Data Cloud and Agentforce. I design and scale AI-first personalization infrastructure, leveraging PyTorch, AWS, Kubernetes, and Step Functions to bring cutting-edge ML research into production. Passionate about solving problems at the intersection of AI research and distributed systems, I thrive on building systems that are not only intelligent and personalized, but also scalable, reliable, and cost-efficient.

Experience

9 yrs 4 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 3 mos

Current Experience

Salesforce

Senior Software Engineer

Mar 2024 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

Einstein Personalization team at Salesforce, building recommendation systems that power Agents and Personalization cloud. My role combines machine learning research, distributed systems engineering, and large-scale model deployment.
Model Integration & Deployment: Integrated BERT-based transformer models into the recommendation system
Training Pipelines: Designed and implemented end-to-end training pipelines for recommendation models enabling automated training at scale.
Distributed Systems & Scalability: Optimized large-scale recommendation infrastructure to achieve high throughput, low latency, and fault tolerance for enterprise workloads.
Model Efficiency: Improved inference pipelines using NVIDIA Triton, reducing latency and resource utilization.
Contributed to frugaLLM, a lightweight ML model for specialized personalization use cases at a fraction of traditional LLM costs.
Tech Stack: Leveraged AWS, Kubernetes, PyTorch, SageMaker, Step Functions.

JavaPythonKubernetesAWSPyTorchSageMaker+3

Google

Software Engineer

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Bangalore

Walmart global tech india

SDE-III

Feb 2021 – Feb 2022 · 1 yr · Bengaluru, Karnataka, India

Directi

3 roles

Senior Software Engineer

Apr 2020 – Feb 2021 · 10 mos

Integrated serverless computing in Zeta's kubernetes Infra using openwhisk
Used operator framework to onboard functions on openwhisk in Zeta's kubernetes infra
Tech stack - Java, spring, microservices, Openwhisk, operator-framework, k8s, golang, couchDB

JavaSpringOpenwhiskKubernetesServerless ComputingMicroservices

Software Development Engineer II

Jan 2020 – Feb 2021 · 1 yr 1 mo

Designed the architecture of Power Center microservice responsible for displaying Apache Superset charts
Implemented nginx as reverse proxy to engineer auth at Superset level
Tech stack used - Spring, Java8, Nginx, postgreSQL.

SpringJavaPostgreSQLMicroservicesBackend Development

Software Development Engineer II

Jun 2019 – Feb 2021 · 1 yr 8 mos

Played a crucial role in the end-to-end backend development of Sodexo-Brazil applications.
Developed and designed multiple microservices and countless APIs in the process.
Developed an HR dashboard allowing HRs to manage company employees for corporates in Brazil.
Developed User specific application for corporate employees in Brazil.
Worked with technologies like Microservices architecture, Messaging Queues, AOP, Spring, Java8, postgreSQL, Kafka, etc.

JavaSpringKafkaMicroservicesBackend Development

The apache software foundation

PMC Apache NetBeans

May 2019 – Present · 7 yrs 1 mo

PMC and Committer at Apache NetBeans

Oracle india pvt. ltd

3 roles

Member Of Technical Staff

Jan 2018 – Dec 2018 · 11 mos

Developed Binary Repository Microservice helping other microservices to access Cloud Storage.
Played an integral role in Migration of Developer Cloud Service classic storage to Oracle Cloud infrastructure.
Worked on Technologies like Spring MVC, JAVA, Liquibase, SQL, Maven, Restful Web Services, Javascript.

JavaApache NetBeansOpen Source Contribution

Member of Technical Staff

Jul 2017 – May 2019 · 1 yr 10 mos

Contributing on the Open Source Apache NetBeans project.
Worked on integration JDK 10, JDK 11 and JDK 12 with NetBeans.
Implemented Features like running Single Source Java Files (Introduced in JDK-11) on NetBeans.
Designed a plugin for creating Oracle JET Composite Components on NetBeans.

Software Development Intern

Jul 2016 – Dec 2016 · 5 mos · Bengaluru Area, India

Worked as a Software Engineer with Tailwind team, a cloud based JavaScript IDE.
Worked on the development of Smart Insight feature of Tailwind IDE.
Generated Smart Insight metadata for JavaScript from Definition Typescript Metadata files.

JavaSpring MVCSQLMicroservicesCloud Infrastructure