Cs resume maker online verification#
Cs resume maker online software#
Cs resume maker online code#

Your resume needs to contain the right information, demonstrate your passion, highlight the quality of your work, and show off the expertise you bring to the table. There are things you can do to make sure your CV stands out and lands you the interview. This is especially true for the higher-paying jobs at the top employers.

Cs resume maker online software#

However, the problem is that, the more opportunities and demand there is for software developers, the more candidates will compete with you for these positions. Going forward, there will be tons of opportunities for candidates in the tech industry. Knowing that, it feels safe to say that the market for software development job seekers is booming at the moment. There’s an expected increase of over 400,000 software engineers, QA analysts, testers, and other tech team employees over this decade (and that’s just in the United States!). Bureau of Labor Statistics, the job market for software engineering and development will grow by 22% between 20? Worked with computer engineers and natural scientists to solve complex computing problems.Did you know that, according to the U.S.Consulted with end-users, managers, and vendors to determine computing goals and system requirements.Provided technical expertise and direction in developing and supporting system-level programs Established standards and procedures related to end-user and interface development, including user requirements.Identified and evaluated opportunities to improve existing subject areas and applications and determine viability for adoption.

Cs resume maker online verification#

Designed and implemented data verification and testing methods.

Cs resume maker online code#

Monitored status of assignments reviewed code and documented scripts and procedures.

Led team of 5 in development and enhancements of the data user interface including data acquisition/access analysis.

Oversaw data management services including data modeling, database, and analytics platform design, database performance and optimization, recovery/load strategy, and implementation for the university.

Architected cloud Infrastructure and massive data migration -from an on-premise data center to the public cloud- for the Washington Healthcare System.

Built prescriptive architecture to run large production clusters for spot-market AWS instances.

Re-architected DMP and DSP platforms for a major ad-tech firm - converted to a real-time, in-memory platform.

Advanced the state-of-the-art patented methodologies and algorithms -for automatic buying and selling of online ad impressions via real-time auctions that occur as fast as a webpage can load.

Built a development team with combined subject-matter expertise in architecture and optimization for three areas of programmatic advertising:

Provided consulting services to C-Level executives for big data strategy, platform selection, reference architecture, ROI modeling, an enterprise data hub, real-time analytics, visualization, and migration to the cloud.

Automated Online Advertising System (OAS): applied game theory to calculate payments to inventory partners.

Compressed Data Warehouse (CDW): slashed server space, boosted efficiency, and accelerated querying.

Data Partitioning and Indexing (DPI): speeds up calculation and simplifies range-interval queries for data analytics.Patented three breakthrough methodologies that generated $7 million annually.Created partnerships with Cloudera, Datastax, and Ne04J. Led 10-person team devising ingenious solutions to complex problems such as big data, business intelligence, and data analytics. Created documentation and best practices to share with the AI/ML community.Collaborated with CE/RC/SI teams to improve the analysis efficacy and deliver actionable intelligence to improve procedure development and procedure adoption.Engineered an ML pipeline to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models.Built a machine learning framework by integrating machine learning libraries and operational frameworks into an end-to-end environment for data modeling, functional-space exploration, and guidance systems to improve patient outcomes, enhanced access and integration for surgeons and staff, and greater hospital efficiency.Worked in a Data and Systems Analysis (DSA) team collaborating with system engineers, data scientists, and machine learning specialists to develop fundamental product-facing and system-supporting architectures and tools to improve the surgeon experience, product adoption, and overall robotics architecture while connecting it to the hardware design.