Amit Mumbai से बाहर है और CS-Computer Science, ME MTech-Master of Engineering or Technology वर्ष 2014-2016 से VIT-Vellore Institute of Technology, VIT University का अध्ययन किया है।
Amit Patni Core Java, Computer Knowledge, HTML और अन्य प्रतिभाओं में प्रतिभाशाली है
यूजर के बारे में
I am very much passionate about programming, I am always up for learning something new. I want to be the very best at what I do.
Career Aim
I am very much passionate about programming, I am always up for learning something new. I want to be the very best at what I do.
Mettl provides online assessments for its clients to hire as well as assess people inside an organization. My role as a Senior Associate ARQ (Assessment Research and Quality) is to assure content quality and to map client requirements as per the content present in Mettl platform.
उपलब्धियां
- Successfully completed several small/large assessment solutions projects for hiring/internal assessments of employees for various clients of Mettl in the field of IT/Software. - The client list for these projects included clients such as Accenture, Sears, NIIT Tech, Fidelity, Amdocs and many more. - Solved several client feedback regarding Candidate code during an assessment/bugs encountered in questions to the satisfaction of clients. - Created assessment reports for candidates using the complex tool provided by Mettl for various clients such as Zydus, Sears, Squareinch and many more. - Helped with identifying and reporting of several platform related bugs on the Mettl Platform. - Learned account management and client management and working on multiple projects simultaneously. - Learned working under team where few projects were completed with several team members involved. - Also groomed new employees about the work done by our team on a daily basis and trained them acco
My role in Mettl is to prune the programming based Question Banks used for assessments in Internal testing of employees as well as for hiring purposes by our clients.
उपलब्धियां
Successfully done pruning of 4,000+ questions across various programming skills such as Java, C/C++, Python, R Programming, Web technologies such as HTML, CSS, XML, AJAX, JavaScript, jQuery and so on.
Been part of various teams handling client requests for assessment creation, custom test selection, requiring blueprint for a particular job profile.
Online examinations are a means of determining the success potential of candidates. It is easier to simply add multiple choice tests, but assessment is normally much more than that. Any Assessment typically involves identifying clear, valid, and appropriate candidate learning outcomes, collecting evidence that those outcomes are being addressed, setting the stage for a dialogue to attain a collective interpretation of the data and using this data to improve both teaching and learning. Assessment can certainly be a tool for measurability of performance of a candidate, but it is also used as a continual process of learning. The online environment offers opportunities for positive ongoing assessment and also creates some unique scenarios of challenges for assessment.
For more info, read the Research Paper at the below link: https://drive.google.com/open?id=0B7mAO-8nfEA9ZGZueWp5MnM0d00
In this paper, we proposed a composite algorithm to generate the smallest valued path of the tour in Traveling Salesman Problem (TSP). We applied the graph partitioning algorithm such that it breaks the main problem into multiple partitions (smaller sub-graphs) and hence reduce the overall complexity of the problem. After that we solve every partition separately. Next we apply Lin Kernighan algorithm to improve the solution for overall tours in the partitioned sub-graphs. After all this analysis, we get an optimal solution for the Traveling Salesman Problem. In case of multiprocessor systems our algorithm achieves faster results and we see a gain in Speedup as the number of processors in the system is increased.
In computers, rendering scenes into high-quality images efficiently is critical, especially if some interactivity is required. However, it is hard to satisfy both speed and interactivity requirements for most existing rendering algorithms. Ray Tracing is an algorithm for three-dimensional scene rendering, but it needs massive heavy ?oating-point computations. Nevertheless, the algorithm can be very well parallelized, making it ideal for parallel mutli-core architectures. In this paper, we present a structured model for parallel Ray Tracing together with software implementations in OpenMP. The model is based on the Uniform Grid spatial subdivision of the scene, which allows for intersection test reduction.
In this paper, we proposed a multilevel cache using K-step hints and frequency based FIFO policy to improvise the performance of the I/O in a distributed system. Basically we have to promote a cache-block from the lower-level to upper-level in the cache hierarchy or demote a block from upper-level to lower-level in the cache hierarchy based on the cache-block’s previous K operations (promote or demote), which are called as K-step hints. Since we are dealing with large amount of data in distributed systems, the replacement policy Frequency Based FIFO (FB FIFO) is used. We developed our K-step hints algorithms and created a model that explains cache-block’s activeness at any level of the cache.
Links to my Project Papers during M.Tech at VIT, Vellore are provided below.
Optimizing Solution to Traveling Salesman Problem Using Parallel Multi-Level Graph Partitioning https://drive.google.com/open?id=0B7mAO-8nfEA9MVRKZ2J6NjRQS0NTREJSQldTVEt2ZTUtN0VV
PARALLEL IMPLEMENTATION FOR RAY TRACING ALGORITHM https://drive.google.com/open?id=1doTOxxGq9OCfxRkTTbHzCguGwN81SvArghKIssIDRQ8
Online Assessment Platform (Live at http://www.silly-point.com/Amit/Projects/OnlineAssessmentPlatform/)
Completed vocational training in 7th semester on Networking applications from Indian Railways, Signal & Telecom Dept., Jabalpur.
Amit से संपर्क करना चाहते हैं?
प्रोफाइल स्नैपशॉट
Amit Mumbai से बाहर है और CS-Computer Science, ME MTech-Master of Engineering or Technology वर्ष 2014-2016 से VIT-Vellore Institute of Technology, VIT University का अध्ययन किया है।
Amit Patni Core Java, Computer Knowledge, HTML और अन्य प्रतिभाओं में प्रतिभाशाली है