Junior ML Engineer | Developer | Writter
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Hi There! I'm a Junior Machine Learning Engineer at Omdena and a recent NYU Grad. I love to learn new things and apply my knowledge to solve real-world problems. I have built web apps (Flask), GUI (java), Games (Unity C#) and implemented Deep Learning Models (Pytorch). Though I have worked with multiple languages, Python & C++ are my favorite.
My main interest lies in Machine Learning, specifically Deep Learning and I spent most of my free time taking MOOCS & working on DL projects. Mostly I learn from implementing things, so most of my projects involve implementations of Research Papers and usable products from them.
As for my other hobbies I love to write fictional stories and play games. Fortunately, the thing that I enjoy the most is programming which happens to be my job so most of the time you'll find me coding. I'm not a very outgoing person and enjoy personal time with close friends and family. And I love animated movies, especially from Studio Ghibli.
A flask webapp that summarizes all of your words through a colorful personalized word cloud. Summarize anyone's tweets or any text by generating a customizable wordcloud
A Team project to develop, design, implement and analyze two new path finding algorithms based on Soft Subdivision Search algorithm
Pytorch Implementation of DCGAN as a python package. Easily train on any image datasets and generate new images. Some pertained models are available for test
Transfer style of any image to any content image using DNN & Gram Matrix. Feature extraction is done using VGG19
Implementation of DQN in Pytorch to train + play Mario Super Bros. Easily change model structures and reward functions to understand agent behavior.
Create and design a map, consisted of a goal, a starting point and various obstacles, and then visually analyze different algorithms as they try to find the best path from source to goal.
B.S. in Computer Science and Engineering, Class of 2018
Tandon School of Engineering, New York University
Minors: Business Studies ( CAS and Stern)
GPA : 3.76 (Dean's List & University Honors Scholar)
Commencement Award : CSE Academic Achievement Award
Performed Name Entity Recognition using Spacy & Coref Resolution using Nueral Coref which increased topic modeling accuracy from 73% to 93%. Also labeled more than 300 articles within a week
Taught procedural problem solving and programming with Python. Conducted Recitations, prepared exam questions, graded homework and held office hours for classes of more than 60 students.
Performed Data prepration using Pandas, Maintained and converted some functionality of PHP Server to Python based Server. Wrote many Python scripts for automation.