Aadil Khan
Software Engineer at Appian Corporation
Software Engineer at Appian | NC State CS Grad
I am currently pursuing my Master's in Computer Science from NC State. 

My research interests include Machine Learning and Natural Language Processing. Typically, I work on problems which are an intersection of these two fields. I am proficient in Python, Java, C++ and with open-source tools like TensorFlow, Keras, NLTK.

Email: akhan23@ncsu.edu
GitHub: github.com/aadilk97
Appian Corporation
https://www.linkedin.com/company/appian-corporation
Reston, Virginia, United States
https://media-exp1.licdn.com/dms/image/C4E0BAQF_Xfn1avx-qQ/company-logo_100_100/0/1617032291004?e=1655942400&v=beta&t=7mtDO75hvXxxAJJaS1v4XDnfIQUGHCnj3_U0iCNElWo
Software Engineer
Black Knight
https://www.linkedin.com/company/blackknight
- Developed micro-services in Java and Python for a virtual assistant that processes mortgage documents by following agile and test driven development practices.
- Enhanced an end to end system that redacted NPI information to support documents irrespective of their rotation and orientation.
- Incorporated multi-threading to speed up services resulting in performance improvement of 35%
Philadelphia, Pennsylvania, United States
https://media-exp1.licdn.com/dms/image/C4D0BAQHFMfRNfPwKww/company-logo_100_100/0/1519897222151?e=1655942400&v=beta&t=KfyoRBBdvYGaFRWYC5_lsXZCcGyX51n3v5XIE1mQRgE
Software Engineer
Black Knight
https://www.linkedin.com/company/blackknight
- Worked on an AWS based application that performs OCR, Classification and Extraction on mortgage documents. Translated data obtained from OCR and stored it in S3 which is consumed by the front-end.
- Combined documents into packages based on configuration specified by customers.
- Restructured data extraction entities of AWS Neptune and wrote queries for it using Gremlin to facilitate tracking of production failures to a specific entity.
- Deprecated calls to older services, thereby reducing repeated production failures.
Philadelphia, Pennsylvania, United States
https://media-exp1.licdn.com/dms/image/C4D0BAQHFMfRNfPwKww/company-logo_100_100/0/1519897222151?e=1655942400&v=beta&t=KfyoRBBdvYGaFRWYC5_lsXZCcGyX51n3v5XIE1mQRgE
Software Engineer Intern
Master's degree
Computer Science
https://media-exp1.licdn.com/dms/image/C4D0BAQGaD7AuaL571Q/company-logo_100_100/0/1645128364517?e=1655942400&v=beta&t=I-T-PTSXeVO1ibaH-txWQpUrFE0Rk_ZuQqVhOqzsMXc
North Carolina State University
https://www.linkedin.com/school/north-carolina-state-university/
Bachelor of Engineering
Computer Engineering
https://media-exp1.licdn.com/dms/image/C4E0BAQGsu_DimiqUow/company-logo_100_100/0/1519905080435?e=1655942400&v=beta&t=Sa0BWs3A0LPDnGfuYVzrG_FCCa5FECl_GGoNw7tAUe0
University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
Secured second place in an intra college competitive programming contest. Several teams from across five departments participated in the contest.
Vidyalankar Institute of Technology
Second Place, CodeHoax
Developed an end-to-end system to identify the veracity of a claim. For a given claim to be checked a set of news articles relevant to the claim were extracted. Each article was divided into a set of consecutive sentences called as snippets. By matching the unigrams and bigrams between the claim and each candidate snippet an overlap score was obtained which was used for shortlisting the relevant snippets. 

Trained a stance classifier using distant supervision to detect the stance of a snippet towards a claim. The writing style of an article was captured using a set of pre-defined lexicons and converted into a set of features. 

These features were combined with the stance of each snippet to obtain an article level prediction. The prediction of each article was combined to obtain the final verdict for the claim. The evidences supporting the verdict were also presented.
Fact Checking System
https://github.com/aadilk97/fake_news_detection
Implemented a 3 layered convolutional neural network to classify tweets from twitter into three categories using TensorFlow. Used data from (https://www.kaggle.com/crowdflower/twitter-airline-sentiment) which contains tweets from six US airlines with positive, negative and neutral sentiments.

Vectorized the text using word2vec and Google’s pre-trained model GoogleNews. Achieved an accuracy of 74% on the test set.
Sentiment Analysis
Developed an Android application that helps in improving the efficiency and reduce the waiting time for customers, by allowing the waiters to directly place orders to the kitchen using their handheld device.

Used Sockets to establish a TCP connection between the waiter's device and the kitchen. Also provides provision for cancelling an order if required.
Order Helper
https://github.com/aadilk97/Order-Helper
Implemented a face recognition system using Principal Component Analysis(PCA). The algorithm used uses a small set of features for describing the variations between the faces of different people. These set of features are the eigenfaces.

Used the ORL database of Faces which contains of a training set of 190 images of 38 persons (5 images per each person) and a a test set has 40 images of different people.(https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html).

OpenCV was used for performing the background elimination during the pre-processing of the images. Trained and summarized the performance of various classifiers like Logistic Regression, Random Forest and SVM.
Face Recognition
https://github.com/aadilk97/Eigenfaces
Developed an Android application that takes the user query in the form of speech, converts it to text and gives a response in the from of speech. It can perform various tasks like giving information about the weather, entities like people and organization, time of a particular region, navigating to a place, obtaining news, launching applications on the phone, etc.

Developed regular expressions to identify the context and key information. These regular expressions help in chunking out the essential information from the query to carry out the task required. Based on the task to be carried out, information is scrapped from the web and is presented to the user.

The back-end is deployed as a Heroku application.
Voice Assistant
https://github.com/aadilk97/Voice-Assistant-frontend
Designed a web application to list the hotels specified by a region. Used Bootstrap to design the front-end. PHP and MySQL were used for the back-end and the web application was hosted using XAMPP.
Hotel Finder
Miller planes are a family of planes that are determined by the Miller indices. Developed an Android application that plots the Miller plane given the Miller indices. Used the Canvas View of Android to plot the plane.
Miller Planes
https://www.linkedin.com/in/calmitchell
Raleigh, NC
Chike Lawrence-Mitchell
Marketing Manager at Terra Dotta, LLC
https://www.linkedin.com/in/amiya-haque
Raleigh, NC
Amiya Haque
Graduate Research and Teaching Assistant| MS | NC State University | Power Electronics
https://www.linkedin.com/in/sandesh-a-s-46560bb5
Raleigh, NC
sandesh A S
Graduate Student at NCSU. Actively seeking Summer 2022 internships/co-op
https://www.linkedin.com/in/devarshshiyani
Raleigh, NC
Devarsh Shiyani
Actively looking for summer 2022 internships
https://www.linkedin.com/in/sai-manohar-520279232
Chicago, IL
Sai manohar
Talent Acquisition Consultant at Inbound-Partners,LLC
https://www.linkedin.com/in/nikhilmehra2
Raleigh, NC
Nikhil Mehra
Seeking internships for summer 2022 | CS Graduate Student at North Carolina State University
https://www.linkedin.com/in/shrunga-sreenivasa-8a7b8a18a
Raleigh, NC
Shrunga Sreenivasa
Actively looking for summer'22 internships
Master of Engineering - MEng at North Carolina State University
https://www.linkedin.com/in/jianshu-zhang-240a87160
Seattle, WA
Jianshu Zhang
SDE@Amazon | Master of Computer Science@NCSU
https://www.linkedin.com/in/jiemin-mj
Raleigh, NC
Jie Min
Software Engineer @Google
https://www.linkedin.com/in/ameywaghmode
Raleigh, NC
Amey Waghmode
Software Engineer | Graduate Student at North Carolina State University
https://www.linkedin.com/in/pritmodi12
Raleigh, NC
Prit Modi
Graduate Computer Science student at North Carolina State University
https://www.linkedin.com/in/yugalee-patil
Raleigh, NC
Yugalee Vijay Patil
Graduate student at NC State | Dec 2022
https://www.linkedin.com/in/nikhil-khanna-20222a165
Raleigh, NC
NIKHIL KHANNA
Student at North  Carolina State University
https://www.linkedin.com/in/nitin-maiya
Raleigh, NC
Nitin Maiya
Computer Engineering @ NC State
https://www.linkedin.com/in/julianna-eckard-9253b91a6
Raleigh, NC
Julianna Eckard
Computer Engineering Undergraduate Student at NC State
https://www.linkedin.com/in/doug-townsend
Raleigh, NC
Doug Townsend
PhD Student in Computer Engineering at NC State University
https://www.linkedin.com/in/ptalwar2
Austin, TX
Puneet Talwar
CPU microarchitecture RTL design at Qualcomm
https://www.linkedin.com/in/alex-dean-3028b84
Raleigh, NC
Alex Dean
Associate Professor at North Carolina State University
https://www.linkedin.com/in/ajit-kanale
Raleigh, NC
Ajit Kanale
Graduate Research Assistant at Electrical and Computer Engineering, North Carolina State University
https://www.linkedin.com/in/tuhin-roy-ncsu
Raleigh, NC
Tuhin Roy
Postdoctoral Research Fellow at North Carolina State University
Liked by Aadil Khan
https://www.linkedin.com/signup/cold-join
New year, new beginnings🎉Proud to call myself an Amazonian :)#ThankyouAmazon
Liked by Aadil Khan
https://www.linkedin.com/signup/cold-join
Hello everyone,I am delighted to share with you all that it's been a week since I have joined as a Software Engineer at Aruba, a Hewlett Packard…
Liked by Aadil Khan
https://www.linkedin.com/signup/cold-join
I am pleased to announce that our paper titled 'Liṅ: Unsupervised Extraction of Tasks from Textual Communication' has been accepted at COLING 2020…
https://in.linkedin.com/in/aadil-khan-41594050
Raipur
AADIL KHAN
Factory Manager  at Aquaproof wallcare India.Pvt.Ltd
https://in.linkedin.com/in/aadil-khan-%E2%9C%85-70708478
Mumbai
Aadil Khan ✅
Award winning 🎖 Real Hero Award 2021   |    Alumni @delhiuniversityoffical   |    Model @lakmefashionwk                      | Actor @cintaaofficial  |  Producer @rocknationfilms
https://pk.linkedin.com/in/aadil-khan-lums
Lahore
Aadil Khan
Digital Marketing Manager at DevNation
https://in.linkedin.com/in/aadil-khan-62aa3828
Gurgaon
aadil khan
Sr. Associate
https://in.linkedin.com/in/aadil-khan-45a01951
Moradabad
Aadil Khan
ASSISTANT PROFESSOR at INSTITUTE OF TECHNOLOGY AND SCIENCE