Applications Engineering Intern Resume

PROFESSIONAL EXPERIENCE

Applications Engineering Intern

Confidential

Responsibilities:

Built a IO monitoring library to control instruments for various chip optimization processes. Used python, electron, bootstrap, HTML5, CSS3, Node.JS, JavaScript, jQuery, webpack for building the desktop application.
POC on using machine learning models ( SVM, decision trees ) for chip design automation. Used TensorFlow for model creation.
Implemented python library for FTDI chip used for I2C protocol communication.
Worked on building the Phase Noise Analyzer Automation module for precision testing of IDT's Universal Frequency Translator chips. This module created using python for device communication, RabbitMQ for task handling and Watchdog to monitor directories exposed to FAEs for testing.

Business Intelligence Student Developer

Confidential

Responsibilities:

Create a web service to auto generate SharePoint pages for every ticket using AWS Lambda, python .
Develop dashboard reports for all departments/labs of the university using Power BI
Manage various organizational websites using SharePoint

Software Engineer

Confidential

Responsibilities:

Developed the flagship insights reporting platform for analysis and informed decision making. The platform was built on Java, Spring MVC, Bootstrap, Gradle with backend implemented on SQL Server using stored procedures.
Designed and integrated interactive data visualizations using D3 and Tableau .
Contributed towards building of large scale retail product and price intelligence platform with matching and recommendation engine. Used Neo4j for data storing and efficient querying.
Developed a highly distributed & scalable data acquisition system built on over 200 nodes using distributed technologies like Apache Storm, Kafka, HBase, Hive etc. This system forms the backbone of data acquisition in the organization.
Member of team that implemented search indexing using ElasticSearch for querying insight data.
Designed and developed RESTful APIs for gathering of product information.
Researched and implemented a product attribute extraction module which was trained on over 100 different retailer web pages to exploit DOM and textual patterns. Data processing implemented using Apache Spark and MongoDB .
Worked on a POC that extracted promotional text and watermarks from product images to adhere to Google PLA standards for a client with a daily submission of over 60 million each day worldwide. Algorithm written using python libraries like OpenCV, scikit - image and scientific libraries like NumPy, SciPy, pandas, matplotlib, etc.
Developed a system that generates a tree based hierarchical classifier from a user provided product taxonomy for providing recommendations of a product category. Text extraction using python libraries like NLTK and TextBlob . Models created using scikit- learn
Worked on Enterprise applications using Big Data technologies like Cassandra, Zookeeper, Hadoop
Employed Agile methodologies and Scrum Techniques extensively, ensuring deadlines and requirements were met.
Worked on determining factors that cause customer churn by performing quantitative analysis using R and other statistical packages.

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