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Ashok Ajad | Machine Learning Engineer

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Ashok Ajad

Machine Learning Engineer ( AI Researcher )
Research Area: Computer Vision | Natural Language Processing

I graduated with M. Tech. degree in Computer Science and Engineering from Indian Institute of Technology-ISM, Dhanbad and B. Tech. degree in Computer Science and Engineering from National Institute of Technology, Agartala.
Graduate Teaching Assistant (GTA) Advance Algorithm and Data Structure, and Machine Learning.

Work Experience

4+ years of experience as AI Research and Development.
Quantiphi Inc. Machine Learning Engineer (AI Researcher)                                                                                                                   Mar 2018 - Present Building deep learning models for images, videos and text data. Designing and building impactful Deep-Learning solutions for business use-cases. Actively researching about the latest AI and DL techniques. Nisin Technologies. Solution Consultant and Algorithm Validation                                                                                                             Jul 2017 - Feb 2018 Desiged and buid impactful Deep-Learning solutions for business use-cases. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Rakuten. Software Engineer Intern                                                                                                                                                  May 2017 - Jul 2017 Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Documents and demonstrates solutions by developing flowcharts, documentation, layouts, diagrams, code comments and clear code. Indian Institute of Technolgy-ISM, Dhanbad. Graduate Teaching Assistant (GTA)                                                                                                                                  Jul 2016 - May 2018 Teaching Assistant : - Data Structure, Advanced Algorithm, Operating System, Machine Learning Assist more than 50 students in lab work and designed module for their lab work and evaluated their assignment Life-Up Software Park. Software Developer                                                                                                                                                            Oct 2013 - Mar 2016 Part of the web developer and mobile application developer team. Developed various application for android os based mobile and web applications. Documented user requirements and specifications for developing and maintaining the application. Tested the developed functionalities of the application using unit testing. Version Management; Deployment Support; Performance Tuning of Code.

Publications in pipeline

I was advised by Associate Prof. Haider Banka and Associate Prof. Arup Kumar Pal for my master thesis. I have researched about Content Based Image Retrieval (CBIR) to identify the performance bottleneck affecting throughput using CBIR and studied approaches to design different motif patterns used in CBIR. Surveyed pros and cons of various motif patterns and different approach used in CBIR.

1. CBIR using Multi-Level Coloured Directional Motif Histogram | Source: Paper Under Review.

Publication Description: Journal of Visual Communication and Image Representation: JVCI(ELS)

 2. CBIR Using Six Directional Local Motif-Patterns and Novel Similarity Scheme | Source: Paper Under Review

Publication Description: Expert Systems with Applications -(ELSEVIER)

 3. CBIR Using Two-Level XoR Patterns and Eight Directional Local Motif-Patterns Operations | Source: Paper Under Preview

Publication Description: Computer and Electrical Engineering -(ELSEVIER)

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