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IndusOptima
Our Team

Meet the Experts Behind IndusOptima

Founded in 2025, our leadership team combines decades of experience in finance, technology, and AI to deliver transformative workflow optimization solutions for manufacturing and enterprise clients.

Leadership Team

Experienced leaders with proven track records in finance, technology, and AI-powered business solutions.

Mr. Gangadhar Sesu Poojary

Mr. Gangadhar Sesu Poojary

Chief Executive Officer

40 years of experience as Chartered Accountant. Ex group CFO for multinational company in Middle East, Europe, bringing extensive financial and operational expertise.

EXPERTISE

Financial Strategy
Operations Management

BACKGROUND

Chartered Accountant

Mr. Harshith Jagannatha Poojary

Mr. Harshith Jagannatha Poojary

Chief Technology Officer

Experience in building scalable web, mobile, and AI solutions. Has delivered products serving millions of users and trained 1000+ developers. An active contributor to AI, open-source, and hackathons, drives innovation through technology.

EXPERTISE

AI Development
System Architecture

BACKGROUND

Technology & AI Specialist

Mr. Prakash J Raval

Mr. Prakash J Raval

Chief Business Analyst

Strategic finance leader with 28+ years of comprehensive experience including 18 years in manufacturing financial management. Expert in corporate finance, debt restructuring, working capital optimization, treasury operations, and financial crisis management.

EXPERTISE

Corporate Finance
Manufacturing Finance
Crisis Management

BACKGROUND

Finance & Manufacturing Specialist

Mr. Vinyas Jagannatha Poojary

Chief Marketing Officer

Has experience in business communication, marketing, technical knowledge, and performance marketing. Co-founder of Klientship Technologies with expertise in driving growth through strategic marketing initiatives.

EXPERTISE

Business Communication
Performance Marketing
Technical Strategy

BACKGROUND

Technology & Marketing Specialist

Mr. Sahil Raval

Mr. Sahil Raval

AI Research Specialist

Research Assistant at Deakin University, Australia. Master of Applied Artificial Intelligence candidate with hands-on experience in humanoid robotics, ROS, computer vision, and human-robot collaboration through work with Reachy robot.

EXPERTISE

AI Research
Robotics
Computer Vision
Human-Robot Interaction

BACKGROUND

Master of Applied AI - Deakin University

Join Our Team

We're always looking for talented individuals who share our passion for transforming industries through AI innovation.