aakanksha choudhary
Software Engineer at Marqeta, Inc
purdue | marqeta
'm c graduate student interested software development . would like associated project able contribute positively organizational goal grooming professionally .
Marqeta, Inc
https://www.linkedin.com/company/marqeta
Oakland, California, United States
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Software Engineer
Aunalytics
https://www.linkedin.com/company/aunalytics
• Managed and implemented various features for the Query Microservice in NodeJs.
• Added support to the CLI and SDK using Python and NodeJs.
• Developed an internal CLI tool and a UI for the QA Team to analyze code quality using various metrics to display various code coverages to increase their efficiency in efforts.
• Assisted the backend team with reviews and testing.
• Managed, automated and supported backend deployments for monthly release using Jenkins, Ansible and Rancher (Kubernetes)
South Bend, Indiana, United States
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Software Engineer
Purdue University
https://www.linkedin.com/company/purdue-university
Teaching Assistant of the course CS177: Introduction to Multimedia Objects for Fall 2018 
Conducted Labs, Weekly Recitation Lectures and Office Hours
West Lafayette, Indiana
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Graduate Teaching Assistant
HERE Technologies
https://www.linkedin.com/company/here
• Developed a Dashboard for the Map Alignment Team of HERE Chicago to demonstrate the state of all catalogs and filters
• The Dashboard facilitates real-time information of all the components, in the form of a workflow, as a D3 Graph, along with a color-coding mechanism to ensure easy fault identification
• Following the MVC fashion, implemented the backend in Scala to extract information fetched from the REST API calls and sent the frontend through a controller of the Play Framework
Greater Chicago Area
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Software Engineer Intern
Discovery Park at Purdue University
https://www.linkedin.com/company/discovery-park-at-purdue-university
• Developed a Windows specific framework, using C# and Visual Basic, to automate the Mass Spectrometer’s experimental results analysis using Machine Learning algorithms to predict the features that are required to be considered on the next experiments based on the real-time Mass Spectrum data interpretation and false positive result detection
• Programmed a glass-slide scan code in Python for Porsolia’s PLC controller and optimized to reduce the scan time by 63%
• Developed an interface, using Python’s TkInter and Plotly, for storing, retrieving and comparing the analysis of the results in form of graphs and charts
West Lafayette
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Graduate Research Assistant
Master of Science (MS)
Computer Science
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Purdue University
https://www.linkedin.com/school/purdue-university/
Bachelor of Engineering (B.E.)
Computer Engineering
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University of Mumbai
https://www.linkedin.com/school/university-of-mumbai/
Bachelor of Engineering (B.E.)
Computer Engineering
Vidyavardhinis College of Engineering and Technology Vidyavardhinis College Campus Vasai Road (Western Railway) Dist Thane 401 202
https://www.linkedin.com/school/vidyavardhinis-college-of-engineering-and-technolo/
It is a way of sending keys securely such that no middle man can have access to the keys. These keys can only be used by the sender and the receiver such that they can be used for encryption and decryption.
Dynamic Multi-Key Choice Symmetric Key Exchange Algorithm for Secured Transaction
International Journal of Innovative Research in Engineering & Management (IJIREM)
http://www.ijirem.org/DOC/13_IREM3079a428ddd-f2cc-4ee1-a4ee-811139f8772e.pdf
Analysis of Algorithms
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Artificial Intelligence
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Cloud Computing Laboratory
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Computer Graphics
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Computer Networks
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Computer Organization and Architecture
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Cryptography and System Security
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Data Structures
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Data Warehouse and Mining
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Database Management systems
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Digital Logic Design and Analysis
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Digital Signal Processing
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Discrete Structures
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Distributed Databases
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Electronic Circuits and Communication Fundamentals
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Human Machine Interaction
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Microprocessor
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Mobile Communication and Computing
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Network Programming Laboratory
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Network Threats and Attacks Laboratory
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Object Oriented Programming Methodolgy
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Operating Systems
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Parallel and distributed Systems
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Soft Computing
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Software Engineering
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Structured and Object Oriented Analysis and Design
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System Programming and Compiler Construction
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Theoretical Computer Science
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Web Technologies Laboratory
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CS 54100: Database Systems
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CS 56500: Programming Languages
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CS 59000AI: Artificial Intelligence
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CS590: Natural Language Processing
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Implemented the classic game of flappy bird using python and pygame, featuring perfect pixel collision using masks. The game solving agent is implemented using the NeuroEvolution of Augmented Topologies Algorithm to achieve a perfect agent in 2nd generation of population.
FlappyBird AI
https://github.com/AakankshaDC/FlappyBirdAI
Developing a Sudoku Solver based on Artificial Intelligence Methods like the ‘naked twin’ technique which deals with two cells of the same column being able to bear the same two values and solving ‘Diagonal Sudoku’ wherein among the two main diagonals, the numbers 1 to 9 should all appear exactly once.

The problem is dealt with elimination of values followed by finding the values that can be the only choice and constraint propagation. Depth First Search has been implemented for the harder versions of the game.
Sudoku Solver
https://github.com/AakankshaDC/aind_sudoku_solver
Developed a Dashboard for the Map Alignment Team of HERE Chicago to demonstrate the state of all catalogs and filters. The Dashboard facilitates real-time information of all the components, in the form of a workflow, in form of a D3 Graph, along with a color-coding mechanism to ensure easy fault identification.

Implemented the backend, in Scala, to extract information fetched from the REST API calls and is sent the frontend through a controller of the Play Framework
ADAM Publication Dashboard
Worked on a DARPA project which aims at compiling and analyzing diverse inputs generated from the Mass Spectrometer.

Programmed the glass-slide scan code (DESI Station Race Track code) for DMC-1500, a PLC-based motion controller.

Developed a Windows specific framework, in an Agile Environment, that automates the Mass Spectrometer analysis to communicate the experimental results with simplicity and objectivity. 

Improved the interface for data searching and indexing using correlation, as well as coding routines for fast decision using Machine Learning to predict which features are required to be considered on the next experiments based on the real-time Mass Spectrum data interpretation and false positive result detection. 

Developed an interface, using Python’s TkInter and Plotly, for storing, retrieving and comparing the analysis of the results in form of graphs and charts
Analytic-Directed Multi-Scale Synthesis System
Worked on a Yale Dataset which has 165 64x64 pi images, each image being a face, and is sorted as a MATLAB file.

Each image was converted and stored as a row in a matrix. Similarity between two faces was calculated by normalizing each vector and using cosine similarity with all the vector and the input image (vector).
System to Detect Facial Similarities
Implemented an access structure, called multi-layered synopsis, as an abstract layer on Apache Spark Framework that automatically generates internal tables over a database to improve the throughput and response time of SQL queries. 

The structure skips portions of table that don’t contain rows of interest resulting into I/O reduction during sequential or index scans, read optimization and eliminates storage costs associated with indexes.

The structure was tested over 2.3 million records generated from TPC-H benchmark and was observed to be more beneficial for largely grouped or nearly ordered data like web logs and financial transactions.
Effective Record Mapping in Synopsis on Apache Spark Database for Fast Data Retrieval
Developed a model for complex sound generators by individually synthesizing and discretizing the objects that contribute to the generation of sounds. 

The system could generate sounds that are beyond human’s caliber and repetitive tones continuously, like the ones used in ‘Trance’. We conducted a wide range of tests to try different frequencies, sample rates and channels in order to generate an array of sound.
Audio Synthesis System
https://github.com/AakankshaDC/Audio-Synthesis-System
Devised a new algorithm that deals with encryption keys that can be used for future transactions.

For every point-to-point conversation, the system generated four different keys at different instances and exchanged few by encrypting them with the rest and detected the encrypting keys with the help of dummy packets.

As the conversation progressed, the system kept updating the keys after every sent/received message using different mathematical functions on both sides, thus avoiding the need of sharing keys again for the newly formed keys.
Dynamic Multi-Key Choice Symmetric Key Exchange Algorithm for Secured Transactions
Developed an android based application for a math based quiz to evaluate and improve learning.
The system required a detail analysis of learning process and how the behavior of human thinking changes based on various factors, in order to change the difficulty level of the quiz.
Interactive Math Quiz for Improved Cognition
Microsoft
F149-9571
Microsoft Technology Associate in Database Fundamentals
Microsoft
F237-6216
Microsoft Technology Associate in Web Development Fundamentals
https://ie.linkedin.com/in/sumit-chawan
Dublin
Sumit Chawan
Software Development Engineer at Groupon
https://www.linkedin.com/in/shreyanimje
San Francisco Bay Area
Shreya Nimje
Senior Software Engineer at Marqeta, Inc
https://www.linkedin.com/in/radha-krishna-t-7147941b
San Francisco Bay Area
Radha Krishna T.
Lead Software Engineer at Marqeta,Inc
https://www.linkedin.com/in/amit-magar
San Francisco Bay Area
Amit Magar
Senior Software Engineer at Marqeta
https://www.linkedin.com/in/maria-piao-52641556
San Francisco, CA
Maria Piao
Software Engineer at Marqeta, Inc
https://www.linkedin.com/in/ramandeep-singh-b8590621
United States
Ramandeep Singh
Lead Software Engineer at Marqeta Inc
https://www.linkedin.com/in/nicholaspetru
Oakland, CA
Nicholas Petru
Senior Software Engineer at Marqeta, Inc
https://www.linkedin.com/in/aaronyu
San Francisco, CA
Aaron Yu
Lead Software Engineer - Digital Banks at Marqeta, Inc
https://www.linkedin.com/in/jimmy-song-6215612
Alameda, CA
Jimmy Song
Principal Software Engineer at Marqeta, Inc
https://www.linkedin.com/in/lakshay-kharbanda-88b08a102
Mountain View, CA
Lakshay Kharbanda
Software Engineer at Google | Ex-Amazon
https://www.linkedin.com/in/henrycychen
San Francisco Bay Area
Henry Chen
Engineering Manager at Marqeta, Inc
https://www.linkedin.com/in/kmurug
Oakland, CA
Keerthana Muruganandham
Product Manager at Marqeta, Inc | MEM | Dartmouth College
https://www.linkedin.com/in/sayli-bapat
Greater Seattle Area
Sayli Bapat
Data Scientist at Microsoft
https://www.linkedin.com/in/jutkarsh
West Lafayette, IN
Utkarsh Jaiswal
Software Developer Engineer at Amazon
https://www.linkedin.com/in/vedant-mishra
West Lafayette, IN
Vedant Mishra
Software Engineer at Facebook
https://in.linkedin.com/in/arjun-ramesh-811313189
Bengaluru
Arjun Ramesh
Student at Ramaiah Institute Of Technology
https://www.linkedin.com/in/shreya-guddeti-aa1003220
Irvine, CA
Shreya Guddeti
Computer and Information Technology Student at Purdue University
https://www.linkedin.com/in/prasita-mukherjee-1231b3114
West Lafayette, IN
Prasita Mukherjee
Graduate Teaching Assistant at Purdue University
https://www.linkedin.com/in/chris-dani
San Francisco Bay Area
Chris Dani
Software Engineer
https://www.linkedin.com/in/qihui-li-419b6377
Seattle, WA
Qihui Li
Software Engineer at Google
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For the longest time my son has wanted an #xbox, but we had already given him a #Nintendo Switch. Additionally, I worry that my kids are not learning…
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Bengaluru
Aakanksha Choudhary
Teach For India Fellow | Period Educator | Menstrupedia Fellow | Toastmaster | ex- IBMer
https://in.linkedin.com/in/aakanksha-choudhary-a870b173
Gurgaon
Aakanksha Choudhary
Works at Accenture
https://in.linkedin.com/in/aakanksha-choudhary-227087207
Ghaziabad
Aakanksha Choudhary
I am a student from MCA department
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Kanpur Nagar
Aakanksha Choudhary
Sr. Associate, Capital One | Ex-BlackRock | IITK
#techawakens
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Python Developers Community (moderated)
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Purdue Alumni
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Purdue Center for Career Opportunities Network
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Machine Learning Community (Moderated)
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Salesforce.com
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Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science
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Data Science Central
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Big Data 🟥 Data Science | Machine Learning | Deep Learning | Artificial Intelligence
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IEEE INDIA
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Big Data, Analytics, Business Intelligence & Visualization Experts Community
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ENGINEER JOBS PORTAL
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