---
title: "Anudeep Chikkam - Lead Analyst AI in Hyderabad | Tal"
description: "Meet Anudeep Chikkam, AI development | NLP | Computer Vision | Chatbot Development | Document Intelligence | Generative AI Engineer | LLMs & Prompt Engineering | Deploying Real-Time AI Solutions based in Hyderabad. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/anudeep-chikkam/share-image"
---

# Anudeep Chikkam on Tal

## Headline

AI development \| NLP \| Computer Vision \| Chatbot Development \| Document Intelligence \| Generative AI Engineer \| LLMs & Prompt Engineering \| Deploying Real\-Time AI Solutions

## About

I am a Generative AI Engineer with a strong background in Computer Vision and Machine Learning research\. Over the past few years, I’ve focused on building and fine\-tuning Generative AI \(Gen AI\) systems that bridge cutting\-edge research and real\-world applications—delivering intelligent automation, knowledge bots, and scalable AI deployments\. Previously, I served as a Visiting Scholar at Oxford Brookes University \(UK\) and worked with the Vision and Image Processing \(VIP\) Lab at IIT Bombay under the UK–India Education and Research Initiative \(UKIERI\)\. As part of the Visual Artificial Intelligence Laboratory, my research focused on self\-supervised learning for domain adaptation in videos, providing me with in\-depth expertise in representation learning, transfer learning, and video understanding\. What I Solve: 1\. LLM Fine\-Tuning & Prompt Engineering – adapting pre\-trained models to domain\-specific tasks\. 2\. Scalable AI Deployment – designing pipelines that are production\-ready, reliable, and efficient\. 3\. Cross\-Functional Collaboration: Bridging AI research and practical use—working with product managers, engineers, and stakeholders to deliver usable, business\-ready tools\. Why I’m Valuable: In a rapidly evolving Gen AI landscape, I contribute not only technical proficiency but also practicality\. I prioritize: 1\. Relevance: Focusing on real\-world outcomes and business impact\. 2\. Reliability: Building solutions that are scalable, maintainable, and production\-ready\. 3\. Ethical AI: Developing and deploying AI responsibly, with clarity and transparency\.

## Location

Hyderabad

## AI stack

claude code

claude

codex

cursor

opencode

claudecode

## Work experience

Lead Analyst AI at Coforge, Mar 2026 \- Present · 6 mos, Hyderabad

Principal Engineer AI at Dataflix, Feb 2022 \- Jan 2026 · 4 yrs, Hyderabad, Telangana, India, Design and development of level \-4 intelligent Chatbots for KIA and Hyundai\. Roles & Responsibilities: ● Implemented statistical level 3 & 4 chatbots using Dialog flow framework and experience in optimizing and publishing content on Google Cloud platform\. ● Designed chatbot architecture for 2 major task\-oriented flows, ‘Forgot Password’ & ‘PIN change’, through multi\-factor authentication within the chatbot\. ● Integrated GEN AI \(OpenAI API\) into existing software infrastructure, enabling advanced text generation capabilities using RAG ● Performed end\-to\-end data analysis of the overall chatbot to improve its performance\. ● Utilized MLflow for managing the deployment lifecycle of chatbot models — including versioning, reproducibility, and experiment tracking for performance improvements\. ● Built and deployed a GenAI POC using Google Vertex AI \(Model Registry, AutoML, Cloudrun, Big Query\) for scalable training pipelines, experiment tracking, and real\-time inference\. Technology Stack: Python, Restful API, Dialog Flow Assistant, OpenAI GPT\-3, Codex, DALL\-E API Integration, RAG, MLflow, GCP\- Vertex AI, Cloud run, BigQuery, App Engine, Power BI for reporting

Software Developer at Dataflix, Feb 2022 \- May 2025 · 3 yrs 4 mos

Software Engineer at Techno Brain Group, Jun 2021 \- Jan 2022 · 8 mos, India, Project: Design and development of intelligent chatbot for Safaricom to automate customer service operations including Customer Onboarding, M\-PESA Reversal, and SIM Swap functionalities\. Roles & Responsibilities: ● Designed and developed an intelligent chatbot using the Botpress framework to automate key telecom customer support workflows\. ● Implemented end\-to\-end chatbot logic for Customer Onboarding, M\-PESA transaction reversal requests, and SIM\-Swap processes\. ● Developed backend services and business logic using Python to securely handle customer verification, request processing, and API integrations\. ● Integrated chatbot with external telecom service APIs to enable automated execution of customer service requests\. ● Designed conversational flows and intent handling within Botpress to ensure seamless user interaction and task completion\. ● Built secure validation mechanisms to authenticate users before performing sensitive operations like SIM Swap and financial transaction reversal\. ● Performed end\-to\-end testing, debugging, and optimization of chatbot workflows to improve response accuracy and user experience\. ● Deployed and monitored chatbot services, ensuring reliability, performance, and scalability in production environments\. Technology Stack: Python, RESTful APIs, Botpress Framework, Node\.js, Conversational AI, Machine learning, API Integration, Telecom Service Integration

Chatbot Developer at Infobiz Ltd, Nov 2020 \- May 2021 · 7 mos, London Area, United Kingdom, I was closely worked with the product development team as a chatbot developer\. I design chatbot systems using the Rasa framework and deployed them on production environments & social media platforms\.

Visiting Scholar at Indian Institute of Technology, Bombay, Jan 2020 \- Jun 2020 · 6 mos, Mumbai, I successfully completed my thesis titled “Self\-Supervised Learning in Videos” as part of a collaborative research project between Oxford Brookes University and IIT Bombay\. The work was carried out under the supervision of Prof\. Biplab Banerjee at IIT Bombay, where I explored advanced self\-supervised techniques for video representation learning and understanding\. This collaboration provided valuable exposure to cutting\-edge research environments and interdisciplinary methodologies in computer vision and machine learning\.

## Education

Masters in Computer science, Data science and Machine learning, Networking, Cloud computing and Big data\., Oxford Brookes University

Bachelor of Technology, Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Kakinada \(JNTUK\)

[View the original profile](https://tal.club/meet/anudeep-chikkam)

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