AWS Elemental, an Amazon Web Services Company

Software Dev Engineer II

Amobee

• Developing a Customer Data Platform to onboard, amplify & monetize 1st party data to target look-alike users for advertisements
• Led an international team of 3 members to automate the amplification of 1st party data of an online delivery platform over 6 sprints in an Agile development process. This entailed daily standups, presentations to stakeholders, code reviews, and system testing
• Collaborated with Engineering, Product Management & Data Operations teams to develop an algorithm using 3rd party Graphs
that helped our data pipelines more efficiently process user data and enhance the campaign creation rate by 20%
• Leveraged Spark, Kafka & Microservices to ingest real-time advertising data into a low-latency data store for Bid Optimization
• Implemented Data Deduplication feature that reduced business intelligence data by 60%
• Trained and mentored new interns & full-timers in improving their Spark Scala skills & get familiar with our big data pipelines

Lead Software Engineer

Senior Software Engineer

Carnegie Mellon University

Graduate Teaching Assistant

Worked on a NASA - CMU collaboration project aimed at developing a web application to provide NASA crucial insights on the advancement of science and research focus areas in the Earth Science domain. As a part of the project, I designed and developed a standalone dockerized Java application that facilitates the training of topic model - Labelled LDA (Latent Dirichlet Allocation) using Stanford Topic Modelling Toolbox (TMT). This involved data extraction, feature engineering, NLP based Data analysis of research publications.
 
Technologies Used: Scala, Java with Play framework, MongoDB

Graduate Research Assistant

Intel Corporation

Worked on designing and developing software tools and frameworks to improve the performance, throughput, and reporting of Front End Tools, Flows and Methodology. Update/Write automation scripts via Bash scripting, Python, Perl & Tcl.

Applications/Software Engineering Intern

Mentor Graphics

Developed production quality QuestaSim software using C/C++ as a Kanban team of 10 to accurately model the effects of active power management(UPF) on SV RTL designs; facilitated Semiconductor companies to efficiently verify their designs

Proposed and implemented various low-power coverage methodologies in C/C++ in Linux platform; leveraged multithreading, multi-processing concepts; made QuestaSim stand out from competitive simulation tools in terms of functionality & performance

DV Conference US18 paper: Took the initiative to analyze and resolved the mystery of low-power designs code coverage

Senior Software Development Engineer

I am a passionate Big Data engineer with 5+ years of professional experience in building scalable data-driven analytics software. At Amobee, as a Lead Software Engineer, I am primarily responsible for developing a Customer Data Platform to onboard, amplify & monetize 1st party data. My day-to-day work involves ETL (using Spark Scala), Data processing (applying Linear & Logistic Regression ML Algo) both in-house and cloud platforms, and Data visualization (using Grafana, InfluxDB). 

During my free time, I love learning about interesting tech advancements happening in the distributed cloud computing world. I am a quick learner and always want to collaborate with people in building innovative applications with a positive attitude and energy.

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