Hi. I'm Ashutosh Mishra.

I am a Machine Learning/Deep Learning practitioner. I have an affinity towards Artificial Intelligence (specifically mathematical interpretation of Machine Learning concepts) and I aim at contributing as much as I can to these fields. My research interests are Learning Optimization of Neural Networks, Computer Vision, Attention based Networks, Variational Auto Encoders, Natural Language Understanding using Deep Learning, and Multi-Modal Fusion Learning. My current research project is on applying attention mechanism for fusing deep features respective to multi-modalities available to vehicles for autonomous navigation. Apart from my interests in AI I have a keen interest in Web Application development, listening to soft music and playing football.

Career thus far Publications Projects Curriculum Vitae Album

My Career

Fraunhofer Institute for Integrated Circuits IIS, Erlangen

I am currently working on 3D Neural Reconstruction using NeRFs. My task is to make radiance fields real-time capable. In the past, I have also worked on compressing deep learning models using state-of-the-art methods. Besides I have also supervised students and organised workshops and seminars for industry.

July 2019 - Present
Research Engineer

RealCore Technology GmbH, Saarbrücken

I worked as Research Scientist for deriving deep business insights from transactional retail data using machine learning for one of the retail giants in Europe.

December 2018 - February 2019
Research Scientist

MindGarage

I am working with MindGarage, an independent lab under the guidance of Prof. Marcus Liwicki, which with a vision of 'open minded research' focuses on Machine Learning and Deeplearning research. I help them in the administration, organisation of the lab. I even help students with their projects. Additionaly, I take care of the hardware and software maintainance of the lab.

October 2017 - Present
Student Assistant

Botsupply.ai, Denmark

I worked as an AI consultant while developing and applying Deep Learning research ideas for Image Recognition and OCR for factory valves.

October 2017 - February 2018
AI Consultant

Psychology Department (University of Kaiserslautern)

I was responsible for designing and developing the second version of Color Study experiment for analysing cultural influence on color preference.

January 2017 - December 2017
Research Assistant

Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

I worked on designing and developing an Android application intended to track user health and daily interaction data for Influenza spread prediction. The scope of it's usage was initially limited to Switzerland. This work was done in collaboration with ETH Zurich

March 2017 - September 2017
Research Assistant

Technische Universität Kaiserslautern

I Joined the Masters Course in Computer Science for specializing in Artificial Intelligence at Technische Universität Kaiserslautern, Germany.

April 2016 - Present
Masters in Computer Science - Artificial Intelligence

Accenture Services Pvt. Ltd.

I was responsible for developing and deploying enterprize standard data migration pipelines from legacy mainframes to SAP systems using middlewares such as Informatica and broker systems such as message queues. Additionaly, I led a team of 2 developers for ensuring end-to-end delivery for one of the US retail giants.

August 2011 - March 2016
Senior Software Engineer

Graduation

In June, 2011 I finished my graduation and entered into the corporate world with a hope to learn skills for success in the real world.

July 2007 - June 2011
Graduate Student

Publications

ICFHR, 2018

Recognizing Handwritten Annotations with FCNN

arxiv.org, 2018

Using Deep Object Features for Image Descriptions

arxiv.org, 2018

Attentive Fusion for Semantic Segmentation

Here’s some stuff I have been working on recently.

Keep posted for their Github repositories and accompanying blogs.(Work in progress....)