Sandeep Mehta

CEO

India21 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over two decades of experience in data and AI.
Led innovation at multiple startups with successful exits.
Expert in building scalable data platforms and ML solutions.

Stackforce AI infers this person is a SaaS and AI solutions architect with extensive experience in data engineering and machine learning.

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Skills

Core Skills

Ai StrategyAi GovernanceMachine LearningData Strategy

Other Skills

Agentic WorkflowsAgile MethodologiesAkkaAmazon Web Services (AWS)Apache KafkaApache PigApache SparkApache StormApplied AIBusiness OwnershipCascadingCloud ComputingCore JavaData PlatformDataTorrent

About

I'm passionate about cracking challenging data puzzles using a potent mix of cutting-edge tech, sharp analytics, and good old-fashioned ingenuity. I like the mishmash of ingenious and logical problem-solving skills. Being an early adopter of Hadoop (before it was cool!), I've wrestled with massive data monsters and lived to tell the tale—gaining some priceless insights along the way (usually by stepping on every landmine at least once!). Over two decades, three startups, and two successful exits later, I've mastered the-art-of juggling visionary dreams with practical business needs. I love turning wild ideas into tangible, market-winning products by rallying diverse, agile-driven teams and navigating through the chaos with a clear (and occasionally humorous) strategy. Currently, at Dataverze, we collaborate with amazing clients across sectors to whip up AI magic. I'm proud to lead innovation that doesn't just boost the bottom line but also creates meaningful societal ripples—winning awards and laughs along the way.

Experience

Vcreatek consulting

Vice President - Innovation

Sep 2025 – Present · 6 mos

Dataverze

Co-Founder | Geek Supreme

Apr 2023 – Aug 2025 · 2 yrs 4 mos · Pune, Maharashtra, India · On-site

- Leading a team of passionate engineers to build data and AI platforms at scale.

AI StrategyAI GovernanceMachine LearningDatabricksAgentic WorkflowsApplied AI

Thoughtworks

Principal Data Strategist

Apr 2023 – Mar 2024 · 11 mos · Singapore · On-site

Worked with various public sector agencies to build ML platforms.
Built in-house LLMOps capability accelerator for Databricks and worked with various teams on GTM.
Build a solution accelerator for the Generative AI applications Guardrails.
Consulted and worked with Fortune 500 companies to build their AI and Data Strategies.
Contextualizing emerging trends and Thoughtworks' exploration impacted data engineering within the client organization.
Data platform for one of Singapore's largest retail estate groups integrated with the composable customer data platform.

Digital ModernizationDigital TransformationData PlatformMachine LearningData StrategyGenerative AI+2

Data axle india

Head Of Data Science - Platform

Sep 2022 – Present · 3 yrs 6 mos · Pune, Maharashtra, India · Hybrid

Building an ML platform, predicting over 4B+ daily predictions every day
Built and scaled an in-house probabilistic record linkage framework that outperformed legacy implementation by 300% and reduced cost from $3900 per training to $45.
Implemented the AI Risk Security Framework to address concerns related to AI and Data governance.
Building an Audience Experience Platform for improving legacy look-alike modeling. Outperforming legacy solutions by 35%
Building a Gen AI-powered AI copilots for marketing.
Consulting with CXOs on creating market differentiators for a domain

AI StrategyAI GovernanceGenAIDatabricks

Fractal

Client Partner

Dec 2020 – Sep 2022 · 1 yr 9 mos

Post-acquisition, working within Fractal to further build and commercialize the platform's capability, helping clients in their data-to-decision journey.
Increased client decision-making efficiency by 30% by advancing Zerogons platform capabilities post-fractal acquisition.
Revamped the product UX after internal testing to improve and simplify data and AI pipelines.
Extended platform to add capability around explainable AI.
Further, we extended the platform's capability for AI-Ethics-led model development.

Zerogons

Founder

Jan 2019 – Dec 2020 · 1 yr 11 mos · On-site

After successfully building a big data analytics company, Exadatum, our passion for building platforms led us to create a product company.
With just a team of 8+, build a self-serve data science and machine learning platform that allows data scientists, engineers, and business analysts to build scalable data and machine learning pipelines.
Scalable data preparation and feature engineering workflows with a unified platform for real-time and batch analytics.
Build machine learning models from a catalog of over 40+ models.
Added state-of-the-art model visualizations for model interpretability, model performance, model drift, etc.
Successfully graduated from the Newchip Accelerator program batch 2020.
Fractal acquired zerogons in December 2020.

Exadatum software services pvt. ltd.

Co-Founder & Director

Jun 2016 – Dec 2020 · 4 yrs 6 mos · Pune Area, India · On-site

Led big data and machine learning platform implementations for Fortune 500 companies.
Pivotal in taking Exadatum among "Top 25 most sought after startup in 2018" (awarded by LinkedIn).
Scaled Exadatum to a team of 70+ at its peak.
Established and managed EBIDTA of 40% over a period of three years.
Led sales and pre-sales within the US and in the APAC region.

Datametica

Big Data Architect

Jan 2015 – Jun 2016 · 1 yr 5 mos

Designed and implemented a real-time processing system for one of the largest retailers in the US at scale on top of Spark, Kafka, and AWS.
Instrumental in building technology leadership within the organization.
Established and led Big Data CoE.

Pubmatic

Sr. Principal Software Engineer

Jun 2014 – Jan 2015 · 7 mos

Co-led PubMatic BigData platform team to build a scalable data platform for handling a billion ad impressions at a petabyte scale of data across different geographies.
Engineered data platform & data processing pipelines that process over 100 TB in batch and over 1 Million impressions / second in real time on Apache Spark.
Worked with product teams on requirements, planning, and deliverables using Agile methodology.