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Graduate Research Assistant

Location:
Chicago, IL
Posted:
February 16, 2021

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Resume:

Sai Teja Karnati

adj7vx@r.postjobfree.com +1-773-***-**** Chicago, IL LinkedIn Github adj7vx@r.postjobfree.com University of Illinois at Chicago - UIC Aug 2019 - May 2021 Master’s in Computer Science GPA: 3.9/4

Advanced Machine Learning, Deep Learning in NLP, Advanced Software Engineering, Cloud Computing, Data Science, Natural Language Processing, Software Development for Mobile Platforms, Object Oriented Programming, Computer Vision Birla Institute of Technology and Science, Pilani – BITS Pilani B.E. (Hons.) in Computer Science Aug 2013 - May 2017 Data Structures and Algorithms, Information Retrieval, Databases, Advanced Algorithms, Economics, Linear Algebra Graduate Research Assistant – Lead Developer, UIC Apr. 2020 – Present

Support our CFL staff to promote educational equity through a multigenerational literacy program in increasingly digital world.

Developing websites and designing databases using React, Spring Boot and MySQL. Research Assistant, Yale University Aug. 2020 – Jan. 2021

Built a tool to help my work flow by converting terabytes of Genome datasets to structured VCF files for analysis.

Analyzing and implementing CNN architectures on VCF files to understand the impact of Genome mutations. Software Engineer, Zenoti Jul. 2017 - Apr. 2018

Designed and developed a highly customizable Feedback system, used quite a lot across Customer Web front, Billing and different Zenoti customer devices (C#, ASP.NET, JavaScript, JQuery).

Implemented Stored Procedures, API functions, and integrated the functions in ASP.NET Webforms AJAX Client-server architecture.

Added new critical features like GST, Employee Tab, Group Billing, Google Home integration with challenging sprints.

Worked in an Agile Scrum workflow with regular scrum meetings and sprints while fixing over 100 bugs from backlog in Jira. Software Development Intern, DELL EMC Jun. 2016 - Jan 2017

Led a containerizing team using Docker and demonstrated an alternative solution to deliver our core product 20 times faster.

Implemented a CNN model using Tensorflow library to extract essential information from Documents. Research Intern, Council of Scientific & Industrial Research - CLRI May 2015 -Aug 2015

Created an automated GUI application in Java to transfer data from Pdfs to Excels for the organization. Programming Languages: Python, Java, SCALA, JavaScript, C#, C++, SQL, HTML, JQuery Frameworks/Packages: ReactJS, SpringBoot, JIRA, Docker Containers, Linux, GIT, AWS, SLF4J, SBT, MapReduce Machine Learning Libraries: TensorFlow, Pytorch, Scikit-Learn, NLTK, Apache Spark, Numpy, Apache Hadoop Interests: Machine Learning Pipelines, Cloud Computing, Software Development, Big Data Engineering Distributed Objects for Cloud Computing (Link) Aug. 2020

Created simulations of SaaS, PaaS and Hybrid Datacenters for various tasks (Map/Reduce cloudlets) with optimal polices.

Implemented Hadoop Map/Reduce over large XML Datasets for analysis in a Sandbox and AWS EMR. (Elastic Map Reduce).

Created CAN and CHORD (Distributed Hash tables) for storing large Movie dataset using Akka and cluster sharding in Scala. Semantic Inpainting using DCGANs and Contextual Encoders (Link) Apr. 2020

Reconstructed images with heavy damage with minimal loss using DCGAN model and Contextual Encoders model. Extractive and Abstractive Summarization – Sentiment Analysis of Reviews (Link) Dec. 2019

Created RNN, LSTM, BiLSTM and BiLSTM over Google’s BERT based Models for analysis(Over 2.2 Million reviews)

Used Centroid based Clustering Method for extracting relevance for Summary generation over Bert Model. (Compression: 15%) Stock Market Prediction using various ML Models (Ensemble, BiLSTM, XGBoost) (Link) Sept. 2019

Converted existing features into significant technical indicators for smoothing of the feature values and for better prediction

Analyzed different machine learning models for performance but XGBoost outperforms with an accuracy of 81% Computer Vision Projects (Link) Aug. 2020

Android projects done as a part of Software Development for Mobile platforms (Link) Mar. 2020



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