Sanchit Jalan

Senior Software Engineer

Hyderabad, Telangana, India6 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building large scale distributed systems.
Developed CI/CD tools for over 200 Scrum teams.
Published research on advanced machine learning techniques.

Stackforce AI infers this person is a SaaS expert with strong capabilities in distributed systems and microservices architecture.

Contact

Skills

Core Skills

MicroservicesCloud-nativeCi/cdSoftware DevelopmentMachine Learning

Other Skills

AlgorithmsBack-End Web DevelopmentCC++ClassificationCloud-Native ApplicationsComputer ScienceContainerizationContinuous DeliveryContinuous IntegrationData StructuresDebuggingDevOpsDistributed SystemsDocker

About

~6 year of Software Engineering experience with a demonstrated history of working in the Software Industry. Currently working on Distributed Systems in the Microservice Platform Team (Service Mesh) at Salesforce. Interested in building large scale distributed systems. Strong engineering professional with a Bachelor of Technology in EE from Indian Institute of Technology, Indore. Proficient in Golang, Java.

Experience

Salesforce

3 roles

Senior Member of Technical Staff

Promoted

Feb 2024 – Present · 2 yrs 1 mo

Service Mesh Infra - Handles billions of req/day.
All things microservices, k8s, cloud-native.

Service MeshMicroservicesKubernetesCloud-native

Member Of Technical Staff

Aug 2021 – Jan 2024 · 2 yrs 5 mos

Service Mesh Infra. All things microservices, k8s, cloud-native

Service MeshMicroservicesKubernetesCloud-native

Associate Member Of Technical Staff

Jun 2019 – Jul 2021 · 2 yrs 1 mo

Developed engineering tools used by 200+ internal Scrum teams, adhering to best CI/CD practices within a DevOps culture.
Built libraries and frameworks to provide comprehensive CI/CD solutions for internal Scrum teams.
Owned and managed an end-to-end deployment service exclusively utilized by internal Scrum teams for seamless incremental deployments in production Salesforce orgs.
Tech stack used: Java, Groovy, Gradle, Jenkins, NodeJs

JavaGroovyGradleJenkinsNodeJsCI/CD+1

Indian institute of technology, indore

Undergraduate Researcher

Aug 2018 – Nov 2018 · 3 mos · Indore Area, India

Developed a new machine learning model called twin support vector machine with sparse pinball loss (SPTWSVM) which is used for classification.
This model is noise insensitive, retain sparsity and more stable for re-sampling. SPTWSVM’s time complexity is approximately four times faster than the existing model Pin-SVM.
Our research work got published in Applied Soft Computing: https://www.sciencedirect.com/science/article/abs/pii/S1568494619300821

Machine LearningClassification

Salesforce

Software Engineering Intern

May 2018 – Jul 2018 · 2 mos · Hyderabad Area, India

Developed a Java-based service that leverages OAuth 2.0 as a two-factor authentication protocol. This service is responsible for pulling data from Google Cloud to Salesforce Cloud using the Google Cloud API.
Tech Stack - Java, Springboot

JavaSpringbootOAuth 2.0Software Development