---
title: "Anjaneyulu Kuchibhotla - Senior AI Consultant in Bengaluru, Karnataka | Tal"
description: "Meet Anjaneyulu Kuchibhotla, AI Executive | Technology & Innovation Leader | AI/ML Product Strategist | Deep Tech Platforms Leader based in Bengaluru, Karnataka."
image: "https://tal.club/meet/anjaneyulu/share-image"
---

# Anjaneyulu Kuchibhotla on Tal

## Headline

AI Executive \| Technology & Innovation Leader \| AI/ML Product Strategist \| Deep Tech Platforms Leader

## About

Anjaneyulu Kuchibhotla is a seasoned AI executive and technology leader with over 35 years of experience driving large\-scale digital transformation and R&D strategy\. A PhD holder in Computer Science from IIT Bombay, he has a proven track record of building high\-performing cross\-functional teams and launching innovative, AI\-driven enterprise platforms\. Previously in leadership roles at Intel, Conduent, and as a founding member of HP Labs India, he specializes in bridging complex deep tech research with real\-world business impact\. An inventor with 15\+ US patents, Anjaneyulu combines academic rigor with strategic operational leadership to deliver scalable, high\-velocity SaaS and AI solutions globally\.

## Location

Bengaluru, Karnataka

## Work experience

Senior AI Consultant at Self\-Employed, Jul 2025 \- Present · 1 yr 2 mos, Bangalore Urban, Karnataka, India

Senior Director, Data Center & AI Group, AI Products at Intel Corporation, Jun 2022 \- Jul 2025 · 3 yrs 2 mos, Bengaluru, Karnataka, India, As Senior Director in Data Center and AI Group, I led the Frameworks Software Development team in India, responsible for the frameworks layer of the Gaudi AI accelerators stack\. Our work directly impacted the performance and reliability of the overall software stack, and supported customer deployments\. I oversaw development for PyTorch enablement on AI accelerators, including distributed training, inference, and eager functionality\. My team optimized deep learning models like Deepseek, LLaMA, and GPT\-X for high\-performance execution, including MLPerf submissions\. We focused on automating performance tuning, and collaborating with the open\-source community to mature the stack\. I also worked closely with lead customers to meet their model performance targets\. I ensured strategic planning, agile execution, and cross\-functional alignment, establishing a high\-performance engineering culture\. I prioritized delivery excellence, risk mitigation, and outcomes that scaled with business needs\.

Head, Common Technology Platform Services, India at Conduent, Aug 2018 \- Jun 2022 · 3 yrs 11 mos, Greater Bengaluru Area, As Senior Director of Common Technology Platform Services \(CTPS\), I led CTPS operations in India and co\-led global initiatives\. CTPS focused on creating platform\-based solutions to enable reusable technology across Conduent’s lines of business, maximizing return on investment\. I drove platform\-based development in areas like Analytics, Conversational AI, Payments, and Mobility for diverse sectors including Financial Services, Healthcare, Transportation, and Government\. Most solutions leveraged Microsoft Azure and integrated AI/ML, NLP, Computer Vision, and Analytics\. I defined and executed the vision and strategy, ensured agile delivery, and collaborated with global business stakeholders\. I also led efforts to recruit top\-tier talent across technology areas\. I ensured projects were delivered on time, within budget, and met quality standards\. When needed, I took corrective measures to keep them on track\. Some key solutions my team delivered included: \* A Call Center Analytics tool that used AI/ML to analyze agent\-customer interactions, identify sentiment, topics, and predict CSAT scores\. \* A Conversational AI platform with support for multiple channels like chat, SMS, Alexa, and Google Assistant, along with tools to mine intents from call logs\. \* Computer Vision systems for tolling applications – one to count vehicle passengers, and another for license plate recognition\. \* An NLP\-based hate speech detection and classification system used in content moderation\. \* A Crime Volume and Hotspot Prediction system\.

VP Engineering at finUNO Technologies India Pvt Ltd, May 2016 \- Jul 2018 · 2 yrs 3 mos, Bengaluru, Karnataka, India, As Vice President of Engineering, I led the development of finUNO®, an AI\-driven platform that delivers contextual, hyper\-personalized financial services\. The platform is offered in an enterprise SaaS model, helping financial institutions acquire and engage customers cost\-effectively through intelligent financial assistants\. I oversaw all aspects of product development—engineering, DevOps, product management, and UX\. I established robust processes for development, release management, support, and escalations\. We followed agile delivery practices, rolling out the product to over 20 customers through regular releases\. I played a key role in the system’s architecture and design to align with business goals\. As part of the executive team, I contributed to product strategy and roadmaps\. I led the product’s analytics engine, which analyzed both transaction and pre\-transaction user behavior to better understand and target user interests\. I drove the implementation of hyper\-personalization features that modeled user preferences and tailored financial content accordingly\. We introduced cutting\-edge innovations, including a Google\-based conversational chatbot—one of the first capable of handling financial transactions\. I also worked closely with clients to manage product customizations and ensure smooth implementation across diverse customer environments\.

Head and VP of Engineering at Kaybus India, Mar 2013 \- Apr 2016 · 3 yrs 2 mos, Bangalore, As Head and Vice President of Engineering at Kaybus, I built and led the Bangalore site from the ground up, scaling it to a 35\-member team that drove core product engineering, UX, and product management\. I was part of the founding team that developed the first version of the AI/ML\-based knowledge automation platform in just seven months, enabling use cases like sales enablement and customer support\. I contributed to company strategy, product roadmap, hiring, and vendor management\. My team delivered key features such as advanced analytics dashboards and a machine learning–based recommendation system\. I oversaw architecture, agile delivery, operations, and global customer support across the US, Europe, and Australia\. Kaybus was eventually acquired by a Silicon Valley firm\.

## Education

Doctor of Philosophy \(Ph\.D\.\), Computer Science \(Artificial Intelligence\), Indian Institute of Technology, Bombay

[View the original profile](https://tal.club/meet/anjaneyulu)

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