Vipul Khatana

Co-Founder

Vienna, Vienna, Austria8 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-founded a startup revolutionizing urban farming.
Over five years of experience in machine learning.
Developed AI solutions across diverse industries.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Agritech and Renewable Energy.

Contact

Skills

Core Skills

Start-up LeadershipOperations ManagementMachine LearningData ScienceResearchLeadership

Other Skills

Problem SolvingData ModelingCommunicationDatasetsVersion ControlpytestPostgreSQLRepresentational State Transfer (REST)Deep LearningStatisticsDeep Reinforcement LearningNoSQLJupyterMLOpsGit

About

At Eevi Gardens, we are reimagining food production through Vertical Indoor Farming, targeting the inefficiencies and environmental costs of traditional agriculture. Our technology enables urban cultivation of essential vegetables like tomatoes, zucchini, and green chili, reducing wasteful transit and chemical dependence while improving food freshness and nutrition. With innovations in lighting, irrigation, and production methods, Eevi Gardens is committed to bringing fresh, sustainable produce directly to city dwellers—addressing critical challenges in climate and health, one urban farm at a time. I have also been a Machine Learning Engineer with over five years of experience developing AI-driven solutions across diverse industries, including consumer electronics, renewable energy, and enterprise applications. My work spans both hardware and scalable software, combining my background in Electrical Engineering with a focus on sustainable, impactful technology. My project experience also includes AI-powered CRM systems, advanced chatbots, and renewable energy monitoring, demonstrating a strong foundation in R&D, product development, and business growth.

Experience

8 yrs 9 mos

Total Experience

1 yr 9 mos

Average Tenure

3 yrs 11 mos

Current Experience

Eevigardens

Co-Founder

Jul 2022 – Present · 3 yrs 11 mos · Vienna, Austria

At Eevi Gardens, we’re transforming home-grown food with modular, cost-effective systems built for space efficiency. Our first product enables households to grow 80+ herbs and vegetables with reliable yields and regular harvests—all from the comfort of your living room or kitchen.

Start-up LeadershipOperations ManagementProblem SolvingData ModelingCommunication

Raicoon

Machine Learning Engineer

Jun 2019 – Jun 2022 · 3 yrs · Vienna

Conducted research in Solar Power Panel Monitoring Automation, contributing to 6 AI-based micro-services with one project laying the background work for foundational model in time series data using GenAI.
Deployed research as real-time microservices, enhancing operational efficiency and developed strong technical MOATs.
Acquired B1-level German for professional growth along with course-work in finance, economics, and business.

DatasetsVersion ControlpytestData ModelingPostgreSQLRepresentational State Transfer (REST)+19

University of vienna

Research Assistant

Jul 2018 – Jan 2019 · 6 mos · Vienna

Worked under Prof. Torsten Möller at Visual Data and Analytics Research Group and collaborated with LogicX our industry partner to work on projects for ÖBB and Austrian Post. The research was interdisciplinary in nature, using electrical engineering and machine learning to predict failures in railway track switch systems. Conducted a successful PoC using Neural Network architecture.

DatasetsVersion ControlData ModelingPostgreSQLDeep LearningStatistics+11

Indian institute of technology, delhi

Research Assistant, ACT4D Research Group

Jan 2018 – Jun 2018 · 5 mos · Greater Delhi Area

Worked under Dr. Aadisteshwar Seth at the Khosla School of Information Technology. Published ‘Empirical Analysis of Power Elite in Indian Media’ presented at COMPASS’18, Menlo Park, US.
The research was in the field of Data Science in Journalism, with the aim of providing objective feedback for the mainstream media.

DatasetsVersion ControlData ModelingDeep LearningStatisticsJupyter+7

University of wisconsin-madison

Research Intern

May 2017 – Jul 2017 · 2 mos · Greater Madison Area

Worked with Dr. Xinyu Zhang to create a Machine Learning model for ray tracing of high-frequency waves in the indoor environment along with providing a solution for optimal placement of signal receiver

DatasetsKnowledge GraphsVersion ControlData ModelingDeep LearningStatistics+6