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I am a senior at UMass Amherst, majoring in Computer Science and Mathematics. My primary interests are in theoretical computer science. ©

I am a Machine Learning Scientist at Radiology Partners. I frequently work with Python, natural language understanding, natural language generation, machine learning, and the philosophy of AI. My Ph.D. is in the humanities/social sciences. My dissertation applied the literary theory of Mikhail Bakhtin to ancient historiography (and used a fair bit of natural language processing). ©

I`m Sidhiqe a Bangalore, IN based Designer seeking an innovative and challenging role in Visual and User Experience Designing. With a lifetime passion for design and over 8 years of UX/UI design and front–end coding experience, I specialise in designing user interfaces for Web and mobile apps. I have a minimalist design style of work and believe that simple user experience is both unique and powerful. When not working, I like to spend quality time with my little princess, I`m a Virtual Pilot and a beginner in Photography ©

EXPERIENCE IN â–  AI / Machine Learning Engineer (3 years) â–  Backend Developer (8+ years) â–  Technical Lead (6+ years) â–  Full Stack Developer (5+ years) Github: Research interests: AI, Deep Learning, Machine Learning, Software Engineering, Autonomous Cars, Data Mining. Research Development: Data Science - AI and Deep Learning Developing AI-based labeling and a machine-learning tool to evaluate gear image damage detection. Currently, developing an ML pipeline that can perform object detection (continuing). Tools: Python, TensorFlow (Keras), Labelbox API, GraphQL, Nodejs, Nginx, Docker, CI/CD, Gitlab, Ubuntu 18.04. Time-series forecasting of prices and volumes for pharmaceutical raw materials by developing a machine-learning pipeline tool using Bi-Directional LSTM models. Tools: Python, TensorFlow (Keras), Gitlab Completed a Master’s thesis. The thesis work was based on the future motion prediction of traffic scenarios based on past traffic scenarios. Three Deep Neural Networks (DNNs) were implemented by using Tensorflow RNN and Convolutional LSTM (ConvLSTM) API. By using recurrent encoder-decoder ConvLSTM model, a longer time (2+ seconds) traffic scenarios can be predicted. Tools: Python, Tensorflow, ROS, GTest, Git, Ubuntu 16.04, Autonomous Driving. Software Development: 10+ years of SDLC experience Java/Android (4Y), Python (3Y), C# (5Y), C/C++/Tizen (2Y), Asp.Net MVC (3Y), WCF (1Y), GraphQL. (1Y). 7+ years’ industry experience as Team Lead. JQuery, Sencha, OpenLayers JS, Require.js, HTML5/HTML4, CSS 3.0, Umbraco CMS. MSSQL 2008/2005, SQLite, Postgres 8.X/9.X, Git, Perforce, SVN, BitBucket. Plan, analysis, design & development experience in mobile applications (Android/Tizen OS), E-commerce, large scale distributed software solutions (Multi-tier, Client-Server, Web based) & GIS applications. Software Architecture: Framework design using OOP, OOAD, Design Pattern, Anti-Pattern, MVC (MVVM), SOA, Refactoring. Leadership: Leading teams as technical/project lead; project planning & designing for 7+ years. Moved between Agile (Scrum, Sprint). Conducting business logic framework design and code reviews. Achieved the ‘Monthly Best Team’ award for Nov, Y2012, in Samsung R&D Institute (SRBD). Publications: Have 1 journal paper & 1 book publication on data mining and software architecture. Problem Solving: UVa Online Judge - solved 150+ problems Statistics: ©

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