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Resume for Suramrit Singh
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| Suramrit Singh | |
| --------------- | |
| suramrit@buffalo.edu | [github.com/suramrit](http://github.com/suramrit) | [linekdin](http://linkedin.com/in/suramrit) | |
| Technologies | |
| --------------- | |
| * **Programming Languages**: Java, Python, Golang | |
| * **Environments**: Unix | |
| * **Software Delivery**: Test Automation, Service Validation | |
| EXPERIENCE | |
| ---------- | |
| **Engineer**, *AT&T.* May 2017 – Current | |
| - Client side development of communication chatbots Messaging as a platform. | |
| - Testing scalability and faul tolerance for mission critical networks | |
| - Network compatibility, active involvement architecture testing and validation. | |
| - Interface with Project Managers, stakeholders and QA for releases | |
| - Test Automation architecture design and implemntation for Networks | |
| **Software Engineer**, *Aricent Technologies* Oct 14 – May 15 | |
| - Software Engineer for development of innovative solutions for optimizing networks. | |
| - Design and technical implementations for the data work-flow and the extraction of domain specific features in large scale unstructured data. | |
| TECHNICAL PROJECTS | |
| ------------------ | |
| **Data Models for analysis of streaming Tweets** | |
| - MEAN stack web application for multilingual data analysis of data from over 120 countries | |
| - Incorporated faceted and graphical analysis utilizing Natural Language Processing and Alchemy API in Solr. | |
| **Data Warehouse with support for OLAP and Statistical operations** | |
| - Implemented data warehouse which was designed to support OLAP ops like roll-up, drill down, slice, dice and pivot. | |
| - Architecture that allowed statistical and analytic operations like t-test, AnOfVa and correlation analysis | |
| **Key Value Storage System for Android** | |
| - Implemented Dynamo, a highly available Key-value storage that powers Amazon e-commerce platform.Implemented it to be a fault-tolerant and resilient data storage solution for android devices. | |
| - Successfully managed to program a solution that had | |
| - 1) Partitioning, 2) Replication, and 3) Failure handling. | |
| **Ensemble Machine Learning and its performance evaluation for genomic data** | |
| - Implemented different classification algorithms: KNN, Naive Bayesian Classification and decision trees with Random Forests and Boosting for their performance evaluation for analysis of large medical data | |
| EDUCATION | |
| ========= | |
| - University at Buffalo, Buffalo, NY — Masters Computer and Information Science | |
| - National Institute of Technology, Srinagar, India — B.Tech Computer Science and Engineering |
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