Lavanya Chatrathi in

Lavanya Chatrathi

Critic · DISC type C
Associate - Projects at Cognizant
📍 Nuzvid, Andhra Pradesh, India

Lavanya Chatrathi is an AIML Engineer at Cognizant, specializing in Generative AI and Machine Learning. With a B. Tech in Electronics & Communication Engineering, she focuses on AI and Python in her roles. Her career highlights include significant contributions to AI projects at Wipro and Cognizant, demonstrating expertise in large language models and fine-tuning techniques.

Lavanya is passionate about continuous learning and growth, consistently exploring new ideas and building her skills in emerging technologies. She enjoys taking on challenges that foster personal and professional development.

She recently transitioned from Wipro, where she spent three years as an AI Engineer, to Cognizant, marking an exciting new chapter in her career.

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Experience
3 Years
Current Role
Associate - Projects
Location
Nuzvid, Andhra Pradesh, India
Personality Overview

How Lavanya shows up

Negotiator
Precise
Critic

They don’t appreciate bells and whistles unless backed by data. They are quite likely to negotiate on pricing or other key terms. They like to do things independently and don’t look for support from others.

Priorities

Topics Lavanya cares about

Generative AI
Her current role as an AIML Engineer at Cognizant and previous role at Wipro emphasize Generative AI, LLMs, and fine-tuning.
Machine Learning Applications
Lavanya's work heavily involves applying machine learning, deep learning, and natural language processing to real-world problems.
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Career

Work history

8-2025
Associate - Projects
Cognizant
7-2023 - 9-2025
AI Engineer
Wipro
6-2022 - 6-2023
Project Engineer
Wipro
In the press

Media appearances

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Education
6-2018 - 6-2022
Bachelor of Technology - BTech
Kakinada Institute of Engineering and Technology
6-2016 - 6-2018
Intermediate
Narayana Junior College, Vijayawada
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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