Divyesh Maheshwari

CTO

Bengaluru, Karnataka, India5 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led development of innovative AI platform.
Reduced testing time by automating workflows.
Improved team velocity by 30% through mentorship.

Stackforce AI infers this person is a SaaS-focused Technical Lead with expertise in AI and cloud solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Architectural DesignCloud ComputingProject ManagementMachine Learning

Other Skills

AtomC (Programming Language)C++CI/CDData AnalysisDatabasesDeep LearningDockerElectronJavaScriptKubernetesMatlabMySQLNode.jsOdoo

About

Results-driven Technical Lead with 5+ years of expertise in full-stack development and AI-powered solutions. Currently leading the development of RoostGPT, an innovative AI platform for automated test generation. Proven track record in architecting scalable cloud solutions, mentoring engineering teams, and delivering enterprise-grade products from concept to deployment.

Experience

Roost.ai

3 roles

Technical Lead

Promoted

Apr 2024 – Present · 1 yr 11 mos

Architected and led full-stack development of RoostGPT, establishing scalable front-end and back-end infrastructure that reduced testing time by automating test generation workflows
Orchestrated complete SDLC management including requirement analysis, system design, sprint planning, and release cycles while conducting daily scrum calls with cross-functional teams
Delivered technical mentorship to junior engineers, conducting code reviews and establishing best practices that improved code quality and team velocity by 30%
Spearheaded adoption of cutting-edge technologies including AI tools, conducted feasibility POCs, and integrated productivity tools that enhanced development efficiency by 25%
Made critical architectural decisions for system scalability, performance optimization, and technology stack selection

Artificial Intelligence (AI)React.jsNode.jsDockerProject ManagementArchitectural Design+2

Member Of Technical Staff

Promoted

Jul 2020 – Mar 2024 · 3 yrs 8 mos

Designed and developed a cloud-native EaaS platform enabling on-demand deployment and testing of containerized applications in Docker and Kubernetes environments, supporting both manual triggers and automated Git-based workflows
Engineered auto-cleanup mechanisms for ephemeral environments, optimizing resource utilization and reducing cloud infrastructure costs by 40%
Built seamless integrations with multiple client tools and deployment pipelines, enabling self-service infrastructure provisioning for development teams
Developed RDE, a desktop IDE application using Electron.js, providing developers with streamlined containerized development and testing workflows
Collaborated with DevOps teams to implement CI/CD pipelines, improving deployment frequency and reducing time-to-market

DockerKubernetesProject ManagementCloud ComputingCI/CD

Developer

Jan 2020 – Jun 2020 · 5 mos

Career launcher

Student Intern

Jun 2019 – Aug 2019 · 2 mos · Home

I am doing Time series Analysis of Reliance Infrastructure.I have applied various machine learning algorithms to predict and classify the data. I have created a diverse portfolio of various stocks for maximum return and minimum risk.

Machine LearningData Analysis