AKSHAY JOSHI

SOFTWARE ENGINEER

Newark, CA · 317-***-**** · adhjxo@r.postjobfree.com · https://www.linkedin.com/in/aksjoshi/ A creative thinker who thrives on designing complex front-end systems to drive efficiency with development, testing, coding, and daily operations to achieve end-user satisfaction and delight. Passion for driving quality, improving user experience and optimizing secure, software solutions. Demonstrated project success applying strong problem solving and holistic analysis to research and evaluate software programs. Take initiative to learn new technologies and remain abreast of development in the fields of engineering design, methods, and applications to promote innovation and functionality. CORE COMPETENCIES

● Software Engineering

● Cloud Computing

● Data Structures & Algorithms

● Object-Oriented Design & Programming

● Technical Stacks, Framework & Design Languages

● Software Testing & Development

● Web / Server Securities & Technologies

● Computer Science & Informatics

● Relational Databases

● Java / Python

EDUCATION

MASTER OF SCIENCE (MS), Computer Science & Information Systems Purdue School of Science, Indianapolis (August 2017 - May 2019) Indianapolis, IN

● Relevant Coursework:Object-Oriented Design & Programming, Distributed Computing Systems, Intelligent Systems, Cloud Computing, Big Data Analytics, Big Data Management, Data Mining, Computer Networks BACHELOR OF ENGINEERING (BE), Computer Engineering Savitribai Phule Pune University (August 2013 - May 2017) Pune, India TECHNICAL SKILLS

● Languages: Java, Python, HTML5, JavaScript, CSS3, C, C++, Angular 4, JQuery

● Databases: MySQL, MongoDB, SQLite, Pig, Hive, Cloud

● Platform & Environments: Eclipse, STS, Spring Boot, PyCharm, Visual Studio, Android, JBoss, GitHub SOFTWARE ENGINEERING EXPERIENCE

FACEBOOK 11/2019 – 08/2020

Mobile Developer Support Specialist Menlo Park, CA

● We are the frontline for fielding support questions and unblocking challenges that developers face day-to-day. Reduced the Engineers workload by upto 50%

● Using Facebook internal data logs to investigate and debug the issues and correlate them to service events / code rollouts.

● Writing scripts and test cases to improve speed and quality of support. CAPGEMINI 06/2018 – 08/2018

Software Associate Chicago, IL

Resource Allocation System (Full Stack Development) Project:

● Delivered a streamlined system and process that allowed the Accounts team to easily monitor available job openings and allocate available resources.

KNEO AUTOMATION PVT LTD. 12/2016 – 02/2017

Software Engineer Pune, India

M.A.P.P (Web Application Development) Project:

● Developed modular software that captured and analyzed events in any manufacturing facility to provide better visibility, leading to faster responses, better utilization of resources, and improved remote control of plants parameters.

PURDUE SCHOOL OF SCIENCE 08/2017 – 03/2019

Research Assistant Indianapolis, IN

Obtained critical software development, engineering, and information science skills easily transferred to any organization by completing the following projects on time and within budget: Earthquakes Prediction using Generative Adversarial Networks (08/2018 – 12/2018)

● Predicted future earthquake occurrences using Generative Adversarial Networks (GANs), including collecting images, developing theory, and analyzing real-time data. Trust Model for Yelp Dataset (01/2018 – 04/2018)

● Developed trust model that proactively determined business ratings, identified user trust levels, and produced rating predictions for hotels and restaurants on Yelp dataset, gaining crucial ability to cite fake users; improved accuracy with calculating ratings.

Fake News Detection (01/2018 – 04/2018)

● Explored machine learning algorithms and natural language processing techniques, improving predictions to determine authenticity of news stories and eliminate fake submissions.Tested on 6 classification algorithms, including Naive Bayes algorithm, Logistic Regression, SVM, Decision Tree, SGD, and Random Forest. Web Application Development (09/2017 – 12/2017)

● Developed web application to play game Five in a Row;used WebSocket protocol that implemented real-time peer-to-peer networking application; analyzed network protocol activities. Phishing Sites Detection using Machine Learning (09/2017 – 12/2017)

● Solved multi-class classification problem of detecting Phishing sites using learning methods like SVM, Neural Networks, Naive Bayes, Decision Tree and Random Forest. Distributed Cyberbullying Detection (09/2017 – 12/2017)

● Achieved 94% accuracy for English language by developing chat application that flagged bullying messages sent over the application.

● Implemented distributed approach for load balancing, fault tolerance, concurrency control, and an AI model that allowed seamless analysis of bullying messages received. Sentiment Analysis Using NLP (undergraduate project)(06/2016 – 05/2017)

● Developed responsive web application that performed sentiment analysis in real-time using NLP, resulting in enhanced user experience and real-time processing; obtained data from Twitter’s API and used Stanford’s Core NLP library to conduct sentiment analysis, allowing users to perform keyword searches with ease and find sentiments and tweets related to the keywords.

● Accomplished 87% accuracy through developing outcome prediction tool that gathered data from social media platforms; ran data pre-processing and removals using NLP and machine learning data analysis. PUBLICATION

● Published a research paper titled “A survey on Sentiment Analysis using NLP” in IJIRCCE, Volume 5, Issue 2, February 2017; Certificate No: V5I2C15.

● Published and presented a research paper titled “Cyberbullying Detection System with Multiple Server Configurations” in 18th Electronic and Information Technology (EIT), IEEE conference, 5th May 2018.

Contact this candidate