Sumit Verma

Co-Founder

Delhi, India3 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Co-founder and CTO driving ethical AI innovations.
Expert in scaling billion-parameter models.
Proven leadership in developing responsible AI solutions.

Stackforce AI infers this person is a leader in AI/ML with a focus on ethical and responsible technology.

Contact

Skills

Core Skills

Responsible AiArtificial IntelligenceMachine LearningDistributed SystemsMicroservices

Other Skills

Large Language Models (LLM)LeadershipEthical AIInformation TechnologyEngineeringKubernetesPyTorchDockerdeploymentGoogle Kubernetes Engine (GKE)Full-Stack DevelopmentNode.jsExpress.jsReact.jsVue.js

About

I’m Sumit Verma, Co-founder and CTO of Responsible AI Labs (RAIL), where I’m driving the future of ethical AI. With 6+ years as a Machine Learning Engineer at Rakuten, Mercari, and OpenSense Labs, I’ve scaled billion-parameter models, optimized distributed training (ZeRO, FSDP), and boosted efficiency using MLOps. My passion lies in Responsible AI—leading RAIL to develop the RAIL Score APIs, frameworks, and pioneer multi-agent systems and personalization with accountability at the core.

Experience

3 yrs 11 mos

Total Experience

1 yr

Average Tenure

11 mos

Current Experience

Responsible ai labs

Co-Founder, CTO

Jun 2025 – Present · 11 mos · New Delhi · Remote

Building the core AI products, evaluation pipelines, and trust infrastructure at Responsible AI Labs. I focus on architecting scalable, responsible-by-design systems that enable safe, transparent, and high-impact AI adoption across complex environments. Driving product innovation, workflow automation, and reliability at the foundation of our platform.

Large Language Models (LLM)LeadershipResponsible AIArtificial IntelligenceEthical AI

Opensense labs

AI Architect

Aug 2024 – Sep 2025 · 1 yr 1 mo · New Delhi, Delhi, India · Hybrid

Neohumans ai

Data Scientist

May 2024 – Aug 2024 · 3 mos · Hyderabad, Telangana, India · Remote

Rakuten

Data Science Engineer

Feb 2022 – May 2024 · 2 yrs 3 mos · Tokyo, Japan

Currently leading a project focused on implementing distributed training and inferencing of LLMs (with billions of parameters) using multi-node and multi-GPU data/model parallelism on in-house and on-cloud clusters.

Machine LearningInformation TechnologyDistributed SystemsEngineeringKubernetesPyTorch+1

Mercari, inc.

Machine Learning Engineer

Oct 2019 – Jan 2022 · 2 yrs 3 mos · Tokyo, Japan

I was responsible for developing, deploying, maintaining, and improving a content moderation system comprising 15+ ML models handling millions of daily requests.

Machine LearningInformation TechnologyMicroservicesdeploymentGoogle Kubernetes Engine (GKE)Engineering+1