Vipul Gaba

CTO

Bengaluru, Karnataka, India15 yrs 6 mos experience

Highly StableAI Enabled

Key Highlights

15+ years in AI & ML engineering leadership.
Expert in building ML systems for diverse industries.
Proven track record in applied research and production solutions.

Stackforce AI infers this person is a B2C AI and ML expert with a focus on personalization and recommendation systems.

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Skills

Core Skills

Machine LearningNatural Language ProcessingGenerative AiData ScienceData Analysis

Other Skills

A/B TestingAWSAnalyticsBig DataBusiness StrategyCUDACognosCommunicationData VisualizationDeep LearningDockerExcelExcel VBAForecastingGCP

About

• AI & ML Engineering leader with 15+ yrs. experience in driving innovation in Machine Learning, Deep Learning, NLP, & Generative AI. • Strategic leadership in building and scaling ML powered systems for Recommendation, Search, LLM applications, Catalog Intelligence, Monetization & Growth use across industries including OTT, e-Commerce and digital platforms. • Proven ability in applied research and translating technical papers into production-ready solutions to deliver business impact. • Strong understanding of engineering practices - Model development, deployment, inference mechanism and adjacent systems for productionization of ML models. • Strong collaborative partnership with Engineering, Product & Business leadership to define roadmaps and influence decisions. • Adept at building, retaining and managing highly performant ML & DS teams across levels. Key Skills: Machine Learning, Data Science, Natural Language Processing(NLP) , Python, Artificial Intelligence, Deep Learning , Graph Neural Networks, Recommendation systems & Personalisation, ML powered search, Knowledge Graphs, AWS, GCP, Docker, Generative AI, LLM's, RAG & Agentic AI

Experience

Airtel digital

3 roles

Head Machine Learning, AI and Data Engineering @Wynk Music, XstreamPlay OTT & IP TV

Promoted

May 2025 – Present · 10 mos

Leading the Machine Learning, AI and Data Engineering for the Airtel Digital's Entertainment division Wynk Music, Xstream Play(Video OTT) & IP TV business serving real time models at OTT scale serving 100M+ daily streams.
Responsible for ML implementation of ML & AI charter across:
Personalisation and Recommendation - Personalised mixes, Re-Ranking service, Session Based recommenders, Hybrid Recommender (Deep Learning , CF & Content based), Content-Content Similarity , Cross Encoder Ranking
ML powered search - Semantic search, Learning to Search Ranking(LTR), AutoComplete & Spell check , Query Understanding & augmentation, Natural language search
Generative AI: Semantic retrieval, Retrieval-augmented generation , Self-querying, LLM & Text embeddings , Vector DB’s, Agentic RAG, RAPTOR, Metadata based Self-Query
Acoustic modelling – Deep Acoustic embeddings using multimodal CLIP & Audio Spectrogram Analysis, Mood mixes and Audio based recommenders
Growth and Engagement - Propensity to Pay, Notifications, Monetisation
Others - Catalog quality improvement, Artwork & Image Analysis , Content Marketing
Leveraging Deep Learning, Natural language Processing (NLP), Generative AI, LLMs, Classical ML, Graphs and Big data processing techniques to solve use cases
Strong understanding of engineering practices - Model development, deployment, inference mechanism and adjacent systems for productionization of ML models.

Machine LearningNatural Language ProcessingGenerative AIDeep LearningBig Data

AVP(Head), Machine Learning and AI @Wynk Music, Xstream OTT & IP TV

Promoted

Dec 2023 – May 2025 · 1 yr 5 mos

Senior Manager, Machine Learning & AI @Wynk Music & Xstream OTT

Jan 2022 – Nov 2023 · 1 yr 10 mos

Guenstiger.de gmbh

Senior Manager - Data Science & Applied Research

Mar 2012 – Jan 2022 · 9 yrs 10 mos · On-site

Led global Data Science and AI initiatives that drive measurable business growth across marketing, personalization, and catalog intelligence in large-scale eCommerce environment for revenue acceleration, operational efficiency, and customer engagement.
Marketing ROI Optimization: Designed and deployed a paid search monetization model managing €8M+ in spend, improving forecast accuracy and marketing efficiency through ensemble modelling and automated feature pipelines.
SEO & Traffic Revitalisation: Reversed long-term SEO decline with a webpage propensity model, aligning data science and engineering to prioritize millions of pages for improved search visibility.
Catalog Intelligence: Automated product classification for 40M+ SKUs and developed text similarity models for offer matching, leveraging Transformer and CNN architectures to enhance catalog accuracy and reduce manual intervention.
Customer Personalization: Delivered a 13% ROI uplift in promotional targeting and boosted campaign performance through hybrid recommendation models that improved conversions, CTR, and retention.
Forecasting & Planning: Scaled time-series forecasting solutions for revenue, traffic, and infrastructure capacity, strengthening financial planning and cloud utilization strategies.

Data ScienceMachine LearningMarketing AnalyticsForecasting

Zs associates

Associate

Aug 2010 – Feb 2012 · 1 yr 6 mos · Gurgaon, India

Leveraged Analytical tools in designing Incentive Plans, setting Quarterly Sales targets for sales reps and measuring Sales Force effectiveness for Fortune 500 pharmaceutical clients.
Responsibilities included providing Data Insights & Analytics, design of Excel-VBA based dashboards & Cognos based BI reports to track KPI’s
Responsible for stakeholder and project management for the team.
Won the ZS Case study challenge for 2010 New Employee Orientation batch.
Tools : Excel , Excel-VBA, SAS, SSIS, Cognos , Informatica, SQL

Data AnalysisExcelSQLCognos

Bharat electronics

Summer Intern - Digital Design for Combat Management System

Jun 2009 – Jul 2009 · 1 mo · Ghāziābād Area, India

Worked on the design and simulation for the RS-422 data interface card using VHDL used in the Indian Navy’s Combat Management System for its Naval frigates.
Awarded Certificate of Excellence on completion of internship in recognition of the projects’ success and timely implementation.

VHDL