About Me

Dhruvesh Patel

I have an eclectic background involving robotics, software engineering, computer science, machine learning and natural language processing.

Currently I am pursuing a master's degree in Computer Science at the University of Massachusetts Amherst focusing my coursework/projects on Machine Learning as applied to NLP and Knowledge Graphs. My current research interests lie in the intersection of geometry, deep learning and NLP. In particular, I am interested in exploiting the geometry of non-euclidean spaces to provide better inductive bias to the representation models of natural language and Knowledge Graphs. I worked as a Graduate Student Research Assistant at Information Extraction and Synthesis Lab (IESL) which is headed by Prof. Andrew McCallum.

Prior to starting my master's program, I worked in a small team at Kenome -- a nascent but extremely driven startup founded by Prof. Partha Talukdar -- solving challenging problems using Machine Learning and NLP. There I developed and deployed an RNN based time series prediction engine which utilizes structured time series data as well as unstructured textual data to make predictions about the time series.

I have also worked for ~2 years as a software engineer at MathWorks, focusing on developing Simulink and related products. This bolstered my knowledge of computer science and software development.

I started off my research career by working on computational aspects of robot kinematics and dynamics at the Robotics Lab., IIT Madras. My master's thesis on computing the safe working zone of parallel robot manipulators resulted in a publication at an international conference.



Do click on the 'read more...' links and project icons below to know more about my work. To contact me use any of the social media links above.

My Professional Journey

Working on learning and using representations of language data in non-euclidean spaces.. read more May 2019 - Sep 2019
Research Assistant

Working towards a master's degree in Computer Science with focus on ML and NLP.. read more Jan 2019 - present
Master of Science in Computer Science

Making sense of structured and unstructured data.. read more Mar 2018 - Jan 2019
Software Development Engineer, Machine Learning

Worked on development of Simulink and allied products. Mainly using C++... read more Jun 2016 - Jan 2018
Software Engineer

Analysis of Kinematics and Dynamics, Design, Interfacing and Control of a vehicle motion simulator based on a 3-DoF Parallel Manipulator... read more Dec 2014 - May 2015
Research and Design Engineer (Intern)

Trained for developing products, be it a software or a robot--taking it from need analysis to a final prototype and beyond. With a wide focus, learned basics of almost all the fields of engineering like computer science, electrical engineering and mechanical engineering. The interdisciplinary yet technical nature of the curriculum prepared me for diving deep into any field of engineering with focus on building products... read more Aug 2011 - Jul 2016
Dual Degree (Btech+Mtech) in Engineering Design with minor in Systems Engineering

My Skills

My Projects

Natural Language Inference for Question Answering

Solving the task of Question Answering through the knowledge of inference read more...

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Box Embedding for Knowledge Graph Completion

Improving KG representations using the inductive bias of Box Space, and analysing the issues with current datasets. read more...

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Using boxes for Natural Language Inference

Using Box representation for Natural Language Inference. This is an ongoing research project at IESL UMass with updates coming soon! read more...

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HyperA -- Attention in Hyperbolic Space

A pytorch implementation of Hyperbolic Neural Networks and attention mechanisms. Hyperbolic attention applied to the task of Natural Language Inference. read more...

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Polymetic

A c++ library for polynomial and matrix arithmetic, focused on applications in Robot Kinematics. read more...

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Intelibugger

An intelligent debugger for C/C++ code on Linux
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Computing the safe working zone of parallel manipulators

Work in computational kinematics of parallel robot manipulators
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Experiments with TensorFlow

An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow read more...

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I-Glide, A Self-balancing Personal Transporter

Development of a product that addresses the short distance transportation (2-7 km) issues of people
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Chatter