Functional Skills
Business Analysis
Business Operations
Business Development
Project Management
Program Management
Technology Strategy
Digital Transformation
Leadership Development
Vendor Management
Customer Relationship Management
Business Unit Strategy
Product Data Management
DevOps
Cost Reduction
Artificial Intelligence
Software Skills
BigData
Python
Kubernetes
MySQL
MongoDB
Deep learning
AWS
Computer vision
Artificial Intelligence
Machine Learning
Redis
PySpark
Node.js
ReactJS
C++
Sector Experience
Energy
Retail
Technology
Telecom
Travel & Hospitality
Experience
Apparel Group
Data Science / Analytics
Associate Vice President - AI, Innovation & Transformation
11/2023 - Present
AI, Innovation & Transformation Leader:
HR, Marketing, Leasing, Legal using Cloud based tools, Oracle Fusion/EPM, RPA/IPA, Merchandising automation and optimizing store operations using Gen AI & Automation ○ Productivity and Sales Improvements across multiple areas with 700M+ AED impact ○ Latency improvements and Cost reduction (including staff optimization) of around 30%-40%
• Leading Design, Development and Deployment of in-house merchandizing tools (on AWS) including AI driven: Auto Replenishment, Auto Allocation, Assortment Planning & Optimization and Pricing Optimizations for all fashion and accessories brands in the Group ○ 10x-20x productivity increase along with margin/sales increase by up to 15%-20%
• Leading Generative AI based product deployments for Hiring Acceleration, Chatbots, Fashion Design, Marketing creatives and Legal ○ Productivity increase by around 20x - 30x along with latency and throughput improvements
• Video Analytics and Intelligent Tag Analytics for optimizing in-store inventory placement, customer-staff interaction, compliance checks, sales staff optimizations, heat map analytics, offline sales funnel analytics including trials ○ Sales improvement up to 8% and interaction rate and conversion rate improvement by 2%-5%
HR, Marketing, Leasing, Legal using Cloud based tools, Oracle Fusion/EPM, RPA/IPA, Merchandising automation and optimizing store operations using Gen AI & Automation ○ Productivity and Sales Improvements across multiple areas with 700M+ AED impact ○ Latency improvements and Cost reduction (including staff optimization) of around 30%-40%
• Leading Design, Development and Deployment of in-house merchandizing tools (on AWS) including AI driven: Auto Replenishment, Auto Allocation, Assortment Planning & Optimization and Pricing Optimizations for all fashion and accessories brands in the Group ○ 10x-20x productivity increase along with margin/sales increase by up to 15%-20%
• Leading Generative AI based product deployments for Hiring Acceleration, Chatbots, Fashion Design, Marketing creatives and Legal ○ Productivity increase by around 20x - 30x along with latency and throughput improvements
• Video Analytics and Intelligent Tag Analytics for optimizing in-store inventory placement, customer-staff interaction, compliance checks, sales staff optimizations, heat map analytics, offline sales funnel analytics including trials ○ Sales improvement up to 8% and interaction rate and conversion rate improvement by 2%-5%
ByteLearn Inc.
Data Science / Analytics
Cofounder & Advisory Board Member
5/2021 - 10/2024
• Advisory Board Member
CTO role: Led and managed a 150-person team for design and development of a comprehensive Generative AI driven tutoring platform for K12 Maths, leveraging Language Foundation models, NLP, Computer Vision, and Recommendation models.
• Architected a low-code platform for interactive problem-solving and cybersecurity compliance (SOC2, FERPA).
CTO role: Led and managed a 150-person team for design and development of a comprehensive Generative AI driven tutoring platform for K12 Maths, leveraging Language Foundation models, NLP, Computer Vision, and Recommendation models.
• Architected a low-code platform for interactive problem-solving and cybersecurity compliance (SOC2, FERPA).
Hike
Data Science / Analytics
Head of AI | Vice President – AI & Data Tech
7/2019 - 9/2023
• Led team of 40 to develop cutting-edge Deep Learning & Generative AI models on GCP for multilingual NLP, 2D/3D vision, and gaming apps; including Stable Diffusion, LLMs based Multi-Agent driven Customer Support flow, hybrid (cloud+mobile) flow for 2D and 3D Avatar face construction from a single facial image (within 4s latency, 5M users) and automatic 3D Avatar animation generation
• Led cloud-mobile hybrid design and development of Multilingual (8 languages) messaging and sticker recommendation solution leveraging Deep Learning models with real-time latency and very high throughput for around 10M users (MAU) ○ Won AAAI 2020 Deployment Award and paper published in AI Magazine (2022)
• Deployed AI-driven features for customer support, Text2SQL, Text/Image to 3D generation, and gaming app development.
• Published 40 patent applications in Metaverse, AI, Agentic Customer Support and Messaging Recommendation
• Led cloud-mobile hybrid design and development of Multilingual (8 languages) messaging and sticker recommendation solution leveraging Deep Learning models with real-time latency and very high throughput for around 10M users (MAU) ○ Won AAAI 2020 Deployment Award and paper published in AI Magazine (2022)
• Deployed AI-driven features for customer support, Text2SQL, Text/Image to 3D generation, and gaming app development.
• Published 40 patent applications in Metaverse, AI, Agentic Customer Support and Messaging Recommendation
Yatra
Data Science / Analytics
Senior Vice President – Technology & Decision Sciences
1/2017 - 1/2019
• Spearheaded AI/ML-driven AWS based solutions for Revenue Optimization (for B2C, B2B, B2E hotels and flights:
● $200M transactions) and personalization for online travel, achieving 10-15% ROAS gains and 3%-5% margin improvements
• Led design, development and deployment on AWS of Voice and Text bots for flights and hotels B2C business use cases: flights discovery, AR driven hotels discovery, Call center automation (60% calls, 35% cost reduction), Automatic Email response system for B2E
• Led Design, development and deployment on AWS of Deep Reinforcement Learning based keyword bidding algorithm on Google Adwords platform for improvements in Impressions and Clicks by 35%, conversions by 10% and reduction in CPA by 15%
● $200M transactions) and personalization for online travel, achieving 10-15% ROAS gains and 3%-5% margin improvements
• Led design, development and deployment on AWS of Voice and Text bots for flights and hotels B2C business use cases: flights discovery, AR driven hotels discovery, Call center automation (60% calls, 35% cost reduction), Automatic Email response system for B2E
• Led Design, development and deployment on AWS of Deep Reinforcement Learning based keyword bidding algorithm on Google Adwords platform for improvements in Impressions and Clicks by 35%, conversions by 10% and reduction in CPA by 15%
Mobileum Inc
Data Science / Analytics
Associate Vice President - Data Science & Chief Data Scientist
1/2014 - 1/2016
• Technology Leadership role for Data Science & Machine Learning Research and Development applied to Telco / IOT Analytics (Led team of 50)
• Anti Fraud Analytics: Premium Number Fraud, Simbox Fraud, Data Fraud using Outlier detection and Supervised Learning (multi-class classification)
• Roaming Analytics: Travel Prediction using Deep Belief Networks (DBNs) and Time Series modeling, Contextual Campaign (Collaborative Filtering) using semi-supervised and unsupervised learning with noisy data
• Anti Fraud Analytics: Premium Number Fraud, Simbox Fraud, Data Fraud using Outlier detection and Supervised Learning (multi-class classification)
• Roaming Analytics: Travel Prediction using Deep Belief Networks (DBNs) and Time Series modeling, Contextual Campaign (Collaborative Filtering) using semi-supervised and unsupervised learning with noisy data
IBM Research
Research
Senior Researcher & Manager
3/2007 - 10/2014
• Directed research in High Performance Computing and Analytics, including real-time text indexing, telecom product recommendations and video delivery caching optimization, stream computing on CDR data, distributed scheduling on Blue Gene/Q and BG/P and Scientific Computing for Oil & Gas sectors including Full Waveform Inversion and Seismic Imaging research and solutions.
• Published 45+ research papers in top international conferences and journals and 20 US patents
• Awarded multiple patents and recognitions for advancements in Machine Learning and AI, Distributed scheduling, Collaborative Filtering, and multi-core Architecture optimization.
• Published 45+ research papers in top international conferences and journals and 20 US patents
• Awarded multiple patents and recognitions for advancements in Machine Learning and AI, Distributed scheduling, Collaborative Filtering, and multi-core Architecture optimization.