Education

Harvard University

Cambridge, MA

Harvard Summer School

STAT-100: Introduction to Quantitative Methods

July 2018 to Aug 2018

Northeastern University

Boston, MA

College of Computer and Information Science

Master of Science in Computer Science

Sept 2015 to Dec 2017

Courses

• Foundations of Artificial Intelligence
• Data Mining
• Information Retrieval
• Algorithms
• Parallel Data Processing with Hadoop
• Web Development
• Programming Design Paradigms

Heriot-Watt University

Dubai, UAE

Master of Science in Computer Systems Management, Distinction with Honors.

January 2012 to November 2013

Courses

• eCommerce Technologies
• Databases
• Systems Programming
• Network Applications
• Mobile Programming

University of Kerala

Kerala, India

Bachelor of Technology in Electronics and Communication Engineering, First Class.

October 2006 to Aug 2010

Courses

• Programming with C++
• Digital Logic
• Microprocessors

Experience

Rue Gilt Groupe

New York, NY

Senior Manager, Data Science & AI

Jan 2018 to Present

• Built and led a high-performing team of 8 including data scientists, engineers, and analysts, leveraging Agile methodologies to foster innovation and collaboration
• Spearheading generative AI adoption at RGG to unlock new AI capabilities, including the development of RAGs with Vertex AI, vector stores, and OSS models
• Led the AI project experimentation and analytics (using A/B testing and in-depth analysis) to ensure clear communication of insights for informed decision-making
• Designed and developed a POC and strategic roadmap for Computer Vision projects including Visual Search and shop the look
• Led the design and development of a custom, scalable deep learning ranking algorithm using TensorFlow that personalizes the homepage for all members, improving brand and product discovery, generating $9.3M/yr incremental revenue
• Architected & led the development of our scalable cloud-based AI platform incorporating concepts like serverless compute, streaming data and inference, slashing model deployment by more than 50%, accelerating development cycle
• Unlocked personalization for new members from registration by designing and developing a custom sequential deep learning recommender using RNNs with TensorFlow, improving activation rate by 6% and email click-through by 20%
• Designed and developed Product Similarity v1 with Spark and NLP solving the challenge of product discovery and generating more than $4M/month in revenue
• Developed product similarity v2 integrating product tags and embeddings from computer vision models (ResNet-50), leading to $1.9M/yr incremental revenue
• Leading product similarity v3 development, leveraging state-of-the-art fine-tuned CLIP and BERT to deliver an even more accurate and personalized experience
• Developed collaborative filtering based product personalization with custom logic for pricing, cold-start, and discovery, driving a 37% conversion rate increase
• Improved conversion by 5% for apparel personalization with personalized sizing using a size normalization model mapping brand-size pairs to a normalized size scale, streamlining the shopping experience and reducing returns
• Leading the development of a deep learning model that can take more complex features and architectures to generate enhanced personalized product recommendations for all members using PyTorch
• Developed contextual multi-armed bandits framework POC using TensorFlow agents to test different variations of an algorithm and find the best variant
• Designed and developed a POC for personalized search and sort using realtime calculations using vector embeddings on Elasticsearch

Rue La La

Boston, MA

Data Scientist (Coop)

Jan 2017 to Aug 2017

• Designed and developed an NLP-based recommendation system with Spark currently generating close to $1M per month.
• Developed a MEAN tool for similarity and was adapted to use for boutique creation reducing creation time by half
• Developed visual similarity models building on pre-trained CNNs and with image hashing using Keras on Tensorflow
• Tuned Spark based k-means clustering for RFM/RFE calculation to create a member cluster dataset for marketing

Northeastern University

Boston, MA

Research Assistant

Sep 2016 to Dec 2016

• Developing a web application to assess the resilience of buildings against natural risks in various areas using MEAN stack.

First Help Financial

Newton, MA

Software Programming Intern

June 2016 to Aug 2016

• Developed Django and Jersey based platform for various web tools eliminating time consuming manual operations.
• Created Python scripts to extract and parse data from MySQL databases enabling quick reports generation and analytics.
• Built a prototype of one module of the current application using Angular 2 showing notable performance improvement.
• Developed a PySpark script to run on AWS EMR to extract usable data from existing dataset of loans for deeper analytics.

Northeastern University

Boston, MA

Research Assistant

Feb 2016 to Aug 2016

• Analyzing the social influences on people in different cultures by applying learning algorithms in Python and mongoDB.
• Improved prediction with new inputs reducing the MAE by 0.3 in certain cases using advanced aggregation operations.

Grey Ocean Analytics

Bengaluru, India

Software Engineer

Feb 2015 to Aug 2015

• Created modules for an Artificial Intelligence project using Python, SNS and SQS kick starting the development process.
• Led a team of five junior developers during the project ensuring high performance and completion before deadline.
• Designed and deployed mongoDB and Neo4j databases on Amazon Web Services EC2 ensuring proper data management.
• Tested a product based on Drupal and guaranteed top user experience by finding and removing minor flaws.

Evolvence Capital & Ginza Holdings

Dubai, UAE

DevOps Engineer

Apr 2012 to Dec 2014

• Deployed IT systems and LS Retail with Microsoft Dynamics NAV 2009 for all Retail & Hospitality outlets of the group.
• Developed an eCommerce solution for Ginza using Magento. Maintained five CMS (WordPress) sites of the group.
• Developed and maintained Microsoft SQL Server and MySQL databases for ERP and other systems.
• Installed Linux servers and AV software systems for Interactive Displays and Video Walls at Real Madrid Café.

Projects

Northeastern University

Boston, MA

Nov 2015 to Dec 2015

• Developed project to Model User Preferences for Location Based Recommendations using python and mongoDB.

Jan 2016 to April 2016

• Form Maker Application using Node.js, MongoDB and Angular.JS.
• GlueC: A Web Application to manage all sorts of eCommerce Inventory Management using Node.js, MongoDB and Angular.JS (MEAN stack App).

Heriot-Watt University

Dubai, UAE

Jan 2012 to Nov 2013

• Developed and Completed Masters’ Dissertation on Real-time Data Analytics of the Sematic Web using node.js, mongoDB, socket.io, Twitter API. Currently extending this project to include Advanced Analytics.
• Other Academic Projects: PHP Bookstore, PHP DealOn website, PHP Webmail client, Android Diary Application, Android Quiz Application, Shell programming, Web Browser with C# .NET, Java Applet for message signing.

Minor Projects

University of Kerala

India

June 2008 to Aug 2010

• Acted as Webmaster for IEEE MBCET (IEEE College Chapter) from 2008 to 2009 (Website powered by Joomla).
• Served as Graphic Designer for College Newsletter, ‘The Fourth Module’ and College Magazine ‘Route 66’.

Additional Projects

• Worked on a Ruby on Rails eCommerce project for a startup.
• Performed Map Reduce operations on a sample dataset of Twitter using python (Coursera.com).
• Completed projects of Interactive games using Python course, from Rice University, Texas (Coursera.com).