Sameer Bhadouria Email & Phone Number

San Francisco , California , Us

San Francisco, Ca, Us

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Sunnyvale, Ca, Us

Leading the Matched Audiences product in LinkedIn Marketing Solutions.

Sunnyvale, Ca, Us

Working on large scale data to extract insights and relevance using state of art machine learning algorithms.Designed and developed Multiclass classification pipeline on Hadoop consisting of feature engineering and extraction using Chi Square Label feature correlation, Multiclass Logistic regression based classifier with grid search, Scorer to evaluate model performance and an automated best model selector, Calculator and visualization for Metrics like Precision, Recall, Accuracy, FMeasure, TPR, FPR.Developed Language translation models using SMT (Statistical Machine translation) techniques.

Fremont, Ca, Us

Architected, developed and operationalized the entire data backend system at Bluenose.1. Near real time data ingestion ETL pipeline, built using Apache Storm.2. The Data Warehouse system for algorithms and data analysis built on the Cloudera CDH distribution using a combination of Map Reduce Jobs, Hive & Pig Scripts, Impala and Oozie workflows & Coordinators.3. Developed the Customer Health Scoring algorithm that classified the customers churn probability into green, yellow or red zone, based on customizable inputs.4. Developed a generic product feature usage analysis algorithm that categorized the users and the feautre by rank and percentile of usage.5. Mentored and led other engineers in the team to solve technical problems, guided them on programming conventions & best practices, helped in debugging distributed systems and operational aspects of customer on-boarding.

1. Designed and developed the Wireless Cloud Services platform for managing and configuring the wireless network.2. Built the RF Statistics module by mining raw data collected from the Wireless Access Points using the MongoDb Aggregation framework and Map/Reduce jobs. 3. Developed APIs and UI pages to display the RF Statistics data using jQuery, Highcharts and Highstock. 4. Built distributed periodic tasks using the Celery Distributed Task Queue framework of Python and RabbitMQ.5. Developed a mechanism to remotely upgrade software image on the Access Points from the Cloud server.6. Designed a simplified authentication scheme for the Access Points on the Cloud server based off the Diffie-Hellman Key exchange and using the Modular multiplicative Inverse math.

San Jose, Ca, Us

1. One of the youngest Technical Leader at Cisco.2. Architected, designed and developed a solution for highly scalable Distributed cluster of Mobility services Engines and the private and public Cloud Architecture for WiFi customers interested in Location Services, Wireless Intrusion prevention, Location based Analytics and Billboard services. The framework provided an infrastructure for common middleware like messaging, authentication, logging, transaction management etc.3. Evaluated and compared NoSQL database solutions like MongoDB, Couchbase and Cassandra. 4. Architected and designed an API Server for REST and SOAP based APIs and for sending async notifications in JSON, XML and Protocol Buffer Data formats.5. Conceptualized clustering of wireless devices using their location and KMeans algorithm.

San Jose, Ca, Us

1. Architected, designed and developed a common framework on the Mobility Services Engine product based on the OSGi Architecture. The framework provided an infrastructure for easily deploying various Services [Location, Wireless Intrusion Prevention, Analytics, Billboard] and provided common middleware like messaging, authentication, logging, transaction management etc.2. Designed and implemented the RESTful APIs for the MSE used by third party developers.3. Led integration of the Analytics service in to the MSE platform during and post acquisition of ThinkSmart Technologies by Cisco.4. Developed core Location Algorithms used by MSEs Location Service to locate and track WiFi devices in WLAN infrastructure. Some algorithms included concepts of Kalman Filters.5. Improved performance of the algorithms by 10 times by migrating some algorithms from Matlab to Java thereby eliminating the time spent in the JNI layer and also in object SER/DSER.6. Built a scalable Event driven notification Engine to deliver data from MSE to third party consumer apps. 7. Implemented the Transport layer for retrieving Asynchronous data from the WLAN Controller using a proprietary TLV based protocol.

Ms Ee, Wireless And Computer Networks

Bachelor Of Engineering, Electronics And Telecommunications