Professional SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. SkillsAzure (2 years)SQL (2 years)NET (6 years), C (8 years), C (6 years)HTML, Javascript (3 years)Java, ASP, JSP (3 year)Socket Programming using C and C Assembly Language Programming on microprocessor 8085 Work History06 2012toCurrentSoftware Engineer 2Dell Walburg,TX,Working at Microsoft, Hyderabad from June, 2012 and am part of the MACH (Microsoft Academy of College Hires) program which mandates a change of teams every 6 months.In the past 2 years, I have worked 6 months each on - Business Intelligence project for a Reporting Application for the premier customers of Microsoft.Worked extensively on Databases, handling reporting for data more than 700GB.Developer Analytics team for a project on big data mining and analysis providing a cloud solution that collects logs, exceptions and then using machine learning, algorithms to categorize and present this data to help the developers of Azure applications to figure out earlier unknown errors.Platform Creation on Azure for the entire Marketing portfolio in Microsoft such that is maximizes scalability, availability and cost-efficiency.Migration of Employee Data Management to Azure which is a global launch of employee self-service transactions and manager self-service transactions.Have done 9 weeks of internship at Microsoft, Hyderabad from May, 2011 to July, 2011.Developed a framework for connectivity to the SQL Database and deployed it successfully.Also performed Regression Testing and Performance Testing on the applications developed by the organization.Paper Presentations Presented a paper, Data transfer using Wi-Fi - Methods, Security and Applications in an International Conference Advances in Computer and Communication Technology held in Mumbai conducted by the IETE.Projects Done Final Year Project - Vicinity File Drop A solution to eradicate the use of pen-drives, hard disks and other storage devices in order to transfer data between devices in close proximity using Wi-Fi.Initially, an Ad-hoc network is set up and the nodes that are in vicinity (within Wi-Fi range of each other) are identified.The file is encrypted at the sender s side and sent and is decrypted at the receiver s side.The encryption decryption is done using the AES algorithm and other security issues like Spoofing, Sybil attack are reduced in the application.The data is sent much faster and in a secure manner with an easy-to-use interface Mini - Projects Network Sniffer Created an application using C that gives the information of all packets being transmitted over the network that are using TCP or UDP.The captured information is decoded from raw digital form into a human-readable format that permits users of the application to easily review the exchanged information.The Network Sniffer monitors the network and it measures the amount and type of traffic on the particular network.Information is extracted from packet headers and displayed on the basis of user settings such as filters, time, etc.Development of an Air Traffic Control System Created an interface for the air traffic controller that manages all landing, taking off and passing-by flights in the given air space using Visual Basic as the front end and created the database in Oracle for fast query retrieval.The system automatically transfers the control of the flight from the air controller to the ground controller once the flight has landed to be directed to the correct parking bay and vice versa when the flight is ready to take off.Performance of String Search Algorithms on Heterogeneous Computing (CPU GPU) platforms Implemented two algorithms namely, Brute Force and Boyer-Moore using normal conventional programming and tested the performance of each.Attempted to implement the same using CUDA on the GPU platform and found that the Boyer Moore execution is much faster and can be parallelized to a greater extent.Major Achievements Gold Medalist of the university in the Information Technology branch for securing the 1st rank amongst more than 300 students.Represented the college in an international coding contest IEEE Xtreme and was ranked amongst the top 500 teams in the world.The online contest was held across the globe for a period of 24 hours and was organized by the IEEE professional association.Participated in the ACM ICPC (International Collegiate Programming Contest) Regional Contest in the Asia region, organized by the ACM professional association.Secured 1st place in a hacking contest Crack-o-Hack organized by the CSI Regional Student Convention.Won the 1st Prize (Gold Medal) in a Computer Science Competition in Standard 11 for the project, Learn Trigonometry on the Mobile in the year 2006. EducationExpected in2012totoB-Tech Information Technology,,GPA Information TechnologyExpected intoto Gold Medalist of University,,GPA GPA 86 GPA 9.46Expected in2008toto Nowrosjee Wadia College of Science,,GPA Expected in2006totoDegree Institute School City Year Grades Vidya Bhavan High School,,GPA Skillsbig data, Business Intelligence, C , encryption, Data Management, Data transfer, Java, JSP, Javascript, machine learning, microprocessor, C , Oracle, SQL, Visual Basic  SEP  Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what s to come. We re the people helping to define the metaverse. We may not have all the answers. But together, we re getting closer. Software Engineer, Machine Learning - Reality Labs Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team Minimum Qualifications 6 years of experience in software engineering, or a relevant field or 4 years of experience if you have a PhD2 years of experience in one or more of the following areas machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Preferred Qualifications Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext fb.com.

ATS compatibility: Good Fit (score: 88.5)