Software Engineer Resume

TECHNICAL SKILLS:

LANGUAGES AND TECHNOLOGIES: Proficient: Java, Java EE, Servlets, JSP, JSF, R, Python, SQL, MySQL, SQL Server, AzureML, AWS (EC2, S3, DynamoDB, Elastic Beanstalk), JavaScript, C++, HTML5, CSS3, Git, Selenium, Machine LearningExposure: Spring, Hibernate, Docker, Hadoop, Hive, C, PHP, Scala

PROFESSIONAL EXPERIENCE:

Confidential

Software Engineer

Responsibilities:

Optimized data ingestion speed of incoming network traffic by 400% through using Java to improve existing data structure design, change the garbage collector and parallelize the algorithm.
Scaled Elastic Search nodes to achieve 1TB/sec transfer rate by fine tuning 100+ query parameters.
Reduced memory footprint of microservices by > 30% used for annotating incoming network traffic.

Confidential

Software Engineer

Responsibilities:

Engineered comprehensive SQL Server database of test cases and procedures to enable accurate replication and ensure compliance healthcare standards, accelerating QA testing time by over 25%.
Increased throughput and performance of health care system by 20 - 25% through constructing efficient mechanism in Java to read and store CSV and EDI files while generating test cases.
Developed innovative mechanism with Java and SQL to convert the CSV(1.5.2) to CSV(1.5.3) and EDI.

Confidential

Software Engineer, Intern

Responsibilities:

Performed Black Box, Regression and System Testing on Test Management to identify the visible and critical defects in release cycle of Java-based product.
Saved company more than $10,000 by pinpointed previously undiscovered flaw in Test Management.
Documented software defects using bug tracking system and reported defects involving program functionality, output, online screen and content to software developers.

Confidential

Software Engineer

Responsibilities:

Performed big data analytics in R using big memory packages to analyze 4GB of US census data.
Implemented tradeoff, grouping and 3 machine learning algorithms (Decision Tree, Random Forest, Neural Network) which optimized the performance time and improved accuracy from 53% to 80%.

Confidential

Software Engineer

Responsibilities:

Designed machine learning model for classification of social media content using Python, improving precision of classification from 55% to 85% to identify the best content.
Used NLP libraries and sentiment analysis techniques in Python to extract features from the datasets and also performed k-fold cross-validation to check the performance.

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