Work Experience

4+ years of experience as AI Research and Development.
Quantiphi Inc. 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. 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. 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. 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. 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.

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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)