From my school days, I am more interested in doing something different, something that can help humanity and something that is challenging enough which gives a different level of satisfaction. So, here I am joining every bit and piece and making a dream come out of it.
I learned a great deal in my college and like how to tackle with things. That was a sweet melody of time where I got to learn about responsibilities, time management and how to take charge of your own. It was the first step to learn management skills and how to work in a team to deliver a productive output. And of course, you learn things with time and mistakes!
I have working experience in a startup and an MNC so I am a mix up of both the cultures and know how to work with things around. From startup, I have learned a lot about teamwork and how we achieve a target and how to handle work pressure. From MNC I learned processes and how to work in collaboration with distributed large teams.
AI is the future and that's the thing that interests me, I mean making a bot which can perform a human task or predict something based on the dataset, isn't that exciting? You are predicting the future! So I decided to go further in the direction and have opted Machine Learning, Artificial Neural Network and Advanced Deep Learning subjects for my MS so that I can explore it more.
Let's connect..!
Implement Java application to perform Fortify Static source code analyzer for quality and assurance of all the different product of Oracle Analytics cloud, BERT Natural Language processing algorithm implementation for better understanding and transformation of queries
Exploited Image processing Deep Learning models by adversarial attacks and exploreed the security issue for autonomous driving
Implemented OpenFace face recognition algorithm and integrated with React Django rest application to support user registration and authorization using facial images
Performed high resolution image segmentation and object detection by developing UNet and SegNet in Keras and PyTorch for urban data analytics on images captured by drones, Contributed to implementation of image data augmentation along with image post processing using python scripts
Proposed research to examine viewership decline during commercial breaks, developed prediction models on moment to moment data tracking by utilizing live TV viewing data from comScore TV Essentials, Applied neural networks to identify key factors and patterns that optimally affect drop off in order to boost ad viewership and revenues
Clarified computer architecture and kernel programming concepts to 75+ graduate students by maintaining office hours and help sessions
Developed responsive REST web application using HTML 5, Bootstrap 4 and React JS with Redux on top of spring framework
Redesigned data warehouse architecture to handle Type-2 History management of customer data by implementing Hive and HBase Big data applications and improved processing of structured and unstructured data, Transformed Informatica power center mappings to Informatica big data Edition to support Big data integration in existing Teradata data warehouse architecture, Developed mainframe backend application to filter all customers who fall under CRS legislation and report them as defaulters to government entities
Implemented Rest APIs in NodeJS for an application to support inventory management in geographically distributed retail stores and improved reporting of daily stats using real-time data processing, Developed timesheet application with Google Docs and Dropbox integration using Angular JS and Node JS
Master of Science in Computer Science
Coursework: Deep Learning, Machine Learning, Software Engineering, Principle of Operating System, Advance Computer Architecture, Artificial Neural Network, Artificial Intelligence, Design and Analysis of Algorithms
Bachelor of Engineering in Computer Engineering
Coursework: Distributed system and Parallel processing, Imformation security, Computer graphics, Web appliction development, Computer network, Object oriented programming with JAVA, Data and File structure, Database Management
Broadcast Education Association paper, “Predicting TV audience viewership drop-off during commercial breaks through the application of neural networks” accepted for presentation at conference in Las Vegas
Research paper, “Applying artificial neural networks to predict ad viewership during TV programs” was accepted at Association for Education in Journalism and Mass Communication conference, 2018
Machine Learning, Deep Learning applications development, Rest API design and development.
Develop responsive web portals using CSS3 and HTML5 with integration of Material design and Bootstrap4.
Design web portal mockups in invision and write appropriate CSS classe for components.
Writing articles related innovations in space technology, Gadget reviews and Machine learning.
Implementation of different machine learning algorithms on non-trivial datasets.
Knowledge sharing about product development, use of different tools and languages.
Recently started writing blogs on wordpress regarding new technologies and its impact.
Everyone remembered the event when AI bot (Alpha Go) defeated Go Grandmaster Lee Sedon in 2016. That was a major...
SpaceX CEO and Lead Designer Elon Musk made announcement how they are going to put Space explorers on Mars...
IPhone X is out and it has brought us an all-new wrapped up face Id feature but do you know everything about it...
I am currently eligible to work under OPT program.
Reach me at 'kujoshi@syr.edu'