I’m a junior Computer Science major who choose this major due to his passion to learn how computers can create new solutions to problems in a variety of fields. During my 7 years of experience, I have utilized my development & analytical skills to create many tools for my team to tackle a variety of tasks. I am a well trained automation developer with focus of study in the AI and Modeling and Simulation which combines mathematical concepts with the computational power of computers. I am practiced automation developer who has worked on variety of NLP projects.
I’m constantly imporving and practising my development abilities by learning full-stack development using technologies such as AWS, Azure Cloud Services, Angular Framework and languages like Java, JS, TS ,and Python.
I can also develope web applications using rShiny and R for statistical and analytical perposes. These web applications can be easily hosted on AWS EC-2s which provides both security and computational power to the webapplication. Check the Guide "How to host a rShiny app on AWS".
I do always enjoyed working others to brainstorm the optimal solution to a problem. In this process, I get the chance to be exposed to new ideas and share my thoughts. I enjoy to be goal oriented.
I continued to improve my development skill throughout my career. I trained myself to think as a user who has minimal technological experience. Therefore, I can design the complex codes with a simple UI to give the user a straightforward experience.
It was a Proof of Concepts project done by me and my direct supervisor during my last internship. Our team was tasked with scraping valuable information from scanned documents. Our goal was to automate the process of information extraction that can handle any to the type of form. Hence, we did use K-mean clustering to visually cluster and LDA to create a model which clusters based on the topic of the forms to understand how many subset we have to deal with. Afterwards, we used a series of mathematical distance calculations to score each key value pair. Finally, By using Azure OCR output parameters, spaCy model, and our own BOW, we were able to create a model that could identify the targets and extract their information.
This concept has been approved by the director of the development team and entered into the process of information handling. We helped the company to free 6 people out of a team of 10 who were dedicated to doing this job manually.
A cloud-based customer management service, designed to share the pool of customer between three sister automotive dealerships. The platform serves as an application center where customers or counselors create the request by filling a form from one of the dealerships and the request would be shared between other locations. This platform allows the dealers to track the leads and avoid loss of customers by sharing their inventory. The interface is simple which gives the straightforward experience for the user.
Started as a proof of concept to demonstrate the possibility to request, deploy and track leads across dealers within 1 application, as opposed to many silo applications in the existing systems. This concept was implemented entirely by me within 6 months and is finished. My roles included concept development, user interface design, usability engineering, software design and coding.
A platform that connects people in need of shelter to the shelter providers. This idea had been initiated by Georgia Institute of Technology to stand up to their motto: serve, learn, sustain. Hence, spring-2018 Object Design course assigned the teams with building an android mobile app as a platform to help the society.
I was one of the backend developers working on implementing functionalities and pipe designing to the database. I was also participating as acting team lead of development.
As a person who never stopped dreaming, I embrace every opportunity to learn new materials. Hence, I have developed a variety of skills useful in the art of problem solving.