Gaurav Sharma

About Gaurav Sharma

I enjoy building and leading high performing engineering teams.My general interests lie in designing, developing, maintaining, troubleshooting large scale distributed applications such as Ad Serving and Ad Relevance/ML, along with architecting, provisioning, deploying and monitoring infrastructure for them.Product/XFN - Intensive experience in building several products and teams in adtech domain with multiple cross functional teams and partners e.g programmatic / native supply, demand, relevance, serving, and 0 to 1 products e.g Connected TV (CTV), Ad Formats etc. Specialities - Distributed systems, Scala (Application as well as Apache Spark ), Python, PHP,DataBases, Large scale applications, Machine learningBig Data - Hadoop (HDFS), HBase, Cassandra Certified, Spark, HIVE, RDS, EMR, AWS S3, EC2 etcMachine Learning - Spark MLLib, Supervised Learning (Logistic regression, Decision Trees / Random Forest, Segmentation/Personalization), scikit learn, numpy, data visualization with pandas/matplot lib, Jupyter Notebooks, SageMakerLeadership - Technical leader, scrum, sprint planning, agile methodoliges, product, roadmap planning, TDDs, PRD. Experience building multiple small sized focussed teams with real impact.

Experience

1. Engineering Leader, Ads

   Linkedin

   May 2019 — Present

   Ads Supply and Demand (exchanges, publishers, advertisers, demand adoption - ad formats - native, in-app, video, banner, streaming etc)- Marketplace optimizations (Relevance & Optimizations - pricing, bidding, Response Predictions, ROI)- Infra ( Ranking / Serving, ML Infra, Data Stores for real time serving/fetching)- Big Data ( Offline pipelines, Modeling, Training, ETLs, Business Insights, Interactive Analytics)- Connected TV- Talent Development, Team Management, Career Growth & Coaching

Education

• Technological Institute of textile and science

  Bachelor of Technology (B.Tech.), Information Technology

  2002 — 2006

• Stanford University

  Continuing Studies Course ( on-campus), Statistics

  2018 — 2018

• University of Southern California

  MS, Computer Science

  2009 — 2011

Skills

• Jvm
• Keras
• Ruby on Rails
• Apache Kafka
• Message Queue
• Unity3d
• Software Design
• Git
• Html
• Agile Methodologies
• Engineering Management
• Sql
• Distributed Algorithms
• Linux
• Mvc
• Gnu Debugger
• Deep Learning
• Rest
• Artificial Neural Networks
• Data Ana
• Debuggers
• Project Management Office (Pmo)
• Demand Side Platform
• Lamp
• Ember.js
• Scalability
• Redis
• Mongodb
• Amazon Web Services (Aws)
• Mysql
• Distributed Systems
• Software Development
• Nosql
• Python
• Scrum
• Java
• Php
• C
• Mobile Advertising
• Unix System V