Manish B. Email & Phone Number

Mountain View, California, US

• The world’s fastest Real Time Data Platform
• Working on building Apache Spark connector for faster read & writes for Spark applications with Aerospike's Real Time Data Platform
• Working on benchmarking graph traversal strategies for a Graph product built on top of Apache Tinkerpop and supported by Aerospike.
• Built a Spark bulk loading process that allows customers to load graph data in Gremlin format using the Graph product into Aerospike DB.
• Technologies: Scala, Java, Python, Spark, AWS, Docker, Gremlin

Palo Alto, California, US

• AppLovin turns mobile into a transformative advertising medium, using data gathered across screens to deliver a consistent experience tailored to individuals. The company's platform evolves as individual interests.
• Part of the DSP team that is responsible to build and deploy ML models at massive scale that are used to show relevant ads to customers on mobile apps.
• The ads are kept relevant by tuning models based on consumer past interest such as payment prediction, install rate prediction, previous viewed ads, etc.
• AppLovin is the ad partner layer between advertisers and bidders
• On a daily scale, AppLovin handles over a billion ad impression via dynamic apps through its partner studios as well as through its DSP (Demand-Side Platform) layer that connects advertisers and publishers
• Technical Stack: Python, PySpark 3.1, Spark ML, GCP, Weights & Biases, Java/Scala, API’s, Scikit learn, Keras, Tensorflow, Airflow, Jenkins, Dataproc, Grafana

San Jose, California, US

• Retail Solutions Inc was acquired by IRI in October 2020.Retail Solutions Inc. is a Retail Data Science company focused on providing SaaS products to retailers and CPG vendors to transform high volume and diverse.
• Worked on building data engineering pipeline for predicting on-shelf availability of items in store thus improving sales and profitability of retailers and vendors.
• The Spark driven pipeline runs Data Science Models built using Spark ML & outputs score for each product within a retailer dataset.
• The score is used as a measure to predict availability of items in store & the future demand.
• Focused on building Delta Lake components for fast ingestion and processing of data on a daily basis. The Ingestion job processes ~200M records for a single retailer vendor combination.
• Worked on API microservices that integrate with Power BI and Tabular model to display metrics & key business indicators (KPI’s) that give a global perspective on the entirety of business & supply chain to retailers &.

Mclean, VA, US

• Built the next-gen Fraud detection & Credit Scoring Microservice based architecture for credit card applications using Java/Scala, Spark and Akka.
• The team is responsible for building a Microservice that enables fraud detection & credit scoring of applications in real time based on a score from Data Science models.
• Responsible to build the Microservice layer/framework using Akka and Akka HTTP to score multiple applications in real-time.
• Compute score by running each applicant record through Data Science models exposed as API's through docker containers.
• Received multiple Spot Awards for ownership, delivery and customer focus.
• Technical Stack: Java, Scala, Akka, Akka HTTP, Spark, Kafka, Shell Scripting, RDBMS, Jenkins, AWS, Docker, Kubernetes, ELK, Redis, Splunk, New Relic.

Mountain View, California, US

• Research on Apache Hadoop 2.4 ecosystem & document necessary features necessary to migrate the hadoop services from ver 1.3 to 2.4
• Wrote Hadoop services and API’s to migrate the Hadoop distribution.
• Test the entire Orchestrator product for different Hadoop distributions like CDH4.5, HDP1.3 and Apache Hadoop 1.3, 2.4.
• Technical Stack: Java, SQL, Spring, Maven, Shell Scripting, Git and Github, Jenkins, Hadoop, Map Reduce.

• Conceptualized an Expertise Model for the Kaybus Product and submitted a proposal for the same. The Chief Architect accepted the proposal for integrating it with the company product.
• Technical Stack: SQL, Hadoop, Ember.js, MongoDB, HTML5 & CSS3, Ruby, Ruby on Rails, Github, Jenkins.

Armonk, New York, NY, US

Technical Stack: Java, SQL, Shell scripting, IBM DB2

Master'S Degree, Computer Software Engineering

Engineer'S Degree, Computer Science

Machine Learning Nano Degree