Bharanidharaun A

Product Engineering Intern @ Niti.ai | Shell Scripting, Computer Vision

Role: Project Intern at Niti Ai
Location: Coimbatore, TN, IN
LinkedIn followers: 500 followers

Advertising & MarketingView LinkedIn profile

About Bharanidharaun A

Armed with a BTech in Information Technology and a suite of cutting-edge certifications, including Google Cloud Engineering and NVIDIA\'s Deep Learning fundamentals, my journey has led me to an exciting role as a Product Engineering Intern at ConverSight. Here, my proficiency in Shell Scripting, Computer Vision, and SQL is not just utilized, but also expanded through real-world applications.At ConverSight, our team leverages these competencies to enhance product capabilities, allowing us to meet complex customer needs effectively. My academic foundation and relevant certifications inform my contribution to our projects, ensuring that our solutions are not only innovative but also robust and user-centric.

Experience

Project Intern
Niti Ai
Dec 2025 — Present · Bengaluru, IN

Education

Bannari amman of institute of technology
BTECH INFORMATION TECHNOLOGY , Information Technology
2022

Contact information

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•••••@niti.ai
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Current company

Niti Ai

Marketing Services · 12 employees · Founded 2022 · Bengaluru, India

The problem isn\'t data. Every brand has more data than ever. The problem is the loop. Signals come in. Someone analyzes them. A decision gets made — slowly, on incomplete synthesis. The result is never systematically tracked. Next week, the same analysis starts from scratch. Attribution players solve the data half of this. Better attribution, cleaner dashboards, sharper visibility into what happened. In 2026, that\'s still where most AI marketing tools stop. We start where they stop. Niti AI is a revenue decision system. Every signal — across ads, marketplaces, and retention — feeds into a continuous reasoning layer that produces one output: a decision. A recommended action, the revenue impact it\'s expected to generate, one tap to execute, and automatic measurement of what actually happened at T+7, T+14, T+30. The AI doesn\'t just surface insights. It reasons across all your spend and sales channels simultaneously — detecting that your Amazon sales drop is caused by low inventory on a SKU that Meta is actively scaling, and recommending a specific action before you\'ve opened your laptop. It synthesizes causal chains, not correlations. It gets more accurate with every decision made — on your account, and across every account on the system. This is what LLMs make possible that wasn\'t possible before: not better charts, but a reasoning layer that works continuously, recommends specifically, and learns from outcomes. — Attribution tools tell you what your ROAS was. — We tell you why it changed, what to do about it, and whether the last thing you did actually worked. Our users never manage dashboards. They receive decisions. Let\'s talk: https://cal.com/nitibd/cxo

niti.ai

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About Bharanidharaun A

Experience

Project Intern

Education

Bannari amman of institute of technology

Find verified contacts for anyone on LinkedIn