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Aditya GudivakaAG
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Aditya Gudivaka

@adityagudivaka

I build scalable customer data platforms and NLP-driven machine learning solutions.

India
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What I'm looking for

I'm looking to build AI and data products at scale, applying NLP, machine learning, and automated data pipelines to measurable business outcomes.

At Adobe, I deploy Real-Time CDP for Fortune 500 clients including Samsung SEAO, SONY, Etihad, and PayPal, helping reduce campaign launch time by 30%.

I build scalable audience segments and automated data pipelines that improve decisioning accuracy, customer personalization, and client ROI across APAC and global accounts.

At London Business School, I delivered an NLP research engagement ahead of schedule, analyzing earnings-call transcripts through Python-based classification, sentiment analysis, and entity extraction.

I've published six peer-reviewed ML/AI papers at IEEE international conferences, with 36+ citations, and my research spans LLMs, NLP, deep learning, cybersecurity AI, and emotion and personality detection.

Experience

Work history, roles, and key accomplishments

Adobe logoAD
Current

Technical Associate

Jul 2024 - Present (2 years 2 months)

- Deployed Adobe Real-Time CDP (RTCDP) for Fortune 500 enterprise
clients including Samsung SEAO, SONY, Etihad, and PayPal; boosting
customer personalization and reducing campaign launch time by 30%.

- Built scalable audience segments and automated data pipelines,
improving decisioning accuracy and directly enhancing
client ROI across APAC and global accounts.

London Business School logoLS

Research Assistant

Jan 2024 - Feb 2024 (1 month)

- Delivered a full ML research engagement in 2 months against a
3-month timeline; a 33% efficiency gain; applying NLP to analyze
earnings call transcripts and extract quantitative business insights.

- Collaborated with a global research team across time zones to translate
machine learning findings into actionable recommendations for
business decision-making.

- Applied Python-based NL

Adobe logoAD

Technical Intern

Apr 2023 - Jun 2023 (2 months)

- Built an automated migration tool that transferred Audience Manager
trait rules to RTCDP segments; reducing manual migration work by
70% and significantly accelerating client onboarding timelines.

- Recognized by Adobe leadership for improving data accuracy
and client implementation speed during a high-stakes onboarding cycle.

- Gained hands-on experience with Adobe's CDP ecosystem 8

Toastmasters Amrita Bengaluru logoTB

Vice President of Membership

Dec 2022 - Jun 2023 (6 months)

Worked as Vice President of Membership at Toastmasters Amrita Bengaluru.

Education

Degrees, certifications, and relevant coursework

AV

Amrita Vishwa Vidyapeetham

Bachelor of Technology - BTech, Computer Science

2020 - 2024

- Published 6 peer-reviewed ML/AI papers at IEEE international
conferences during undergrad; 36+ citations, h-index: 2.

- Research focus: LLMs, NLP, Deep Learning, Cybersecurity AI,
Emotion & Personality Detection, Homomorphic Encryption.

- Selected twice as 1 of ~500 global delegates for Harvard HPAIR
ACONF, a highly competitive international leadership programme.

- Simultaneously led

Amrita Vishwa Vidyapeetham logoAV

Amrita Vishwa Vidyapeetham

Bachelor of Technology, Computer Science

2020 - 2024

Grade: 8.22 GPA

Activities and societies: Selected twice as 1 of ~500 global delegates for Harvard HPAIR ACONF; led IEEE Student Branch (ASEB), served as ACM/ACM-W Chapter Webmaster, managed a 50-member Toastmasters chapter.

Published 6 peer-reviewed ML/AI papers at IEEE international conferences during undergrad; 36+ citations, h-index: 2. Research focus: LLMs, NLP, Deep Learning, Cybersecurity AI, Emotion & Personality Detection, Homomorphic Encryption.

Tech stack

Software and tools used professionally

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