Python Cloud

WASEEF AHSAN

Phone: +1-734-***-****

Email: adchm3@r.postjobfree.com

SUMMARY

Self-motivated, dynamic and achievement oriented individual looking for internship, entry level full-time opportunities in software development

EDUCATION

Bachelor of Science in Computer Engineering Aug 2016 - Dec 2019 Eastern Michigan University, Michigan, USA GPA- 3.5/4.0 TECHNICAL SKILLS

Languages: Python, Java, R,C,C++,C#

Technologies: Google Cloud Platform, MySQL

Web & Framework’s: HTML, CSS, PHP, JavaScript, jQuery, Flask, REST, Junit Devops Tools: Maven, Jenkin, Docker, Chef, Kubernetes, Git, Stackdriver PROFESSIONAL EXPERIENCE & INTERNSHIP

Cudop Technologies Private Limited India Software Engineer Intern Jan 2015- Jun 2015

Worked on developing a python based application with image processing for machine learning analysis of IOT devices.

OpenCV & Tensorflow were used to build the multi-platform application.

Played a major role in designing software requirement specifications after gathering information. Used agile methodology and test-driven approach to deliver reliable software Cloud & Devops Projects:

Scalable Application with Google App Engine & Kubernetes

Developed and Deployed a photo album application on App Engine. Kubernetes was used for setting up database and application layers. Also Docker images were deployed and managed by Kubernetes.

Technologies: HTML, PHP, Google App Engine, Load Balancers, Kubernetes, Docker

Text-To-Speech converter using Google Tensorflow:

Developed an web-application using TensorFlow to convert text files into speech. Users Text input is converted into a mp3 of their selected voice .

Application uses Google Cloud Functions to handle events, Computer Engine API for request handling,Dynamo DB and Google Clouud Storage for storage.

Technologies: Python, Dynamo DB, Google Tensorflow, Google Cloud Storage, Google Cloud Functions, JavaScript, Ajax, jQuery

Google Cloud Hybrid Backup-system:

Built a personal home-server with a website on Google App Engine for access of important files and applications.

Incorporated encryption technologies to make infrastructure secure.

Home-server is in a hybrid environment in Google Cloud Storage. Where analytical algorithms are ran with options for streaming results back to user for further analysis

Technologies: Google Cloud Storage, Google App Engine, Cron jobs, Google Cloud Functions

Autonomous RC car using Google Cloud:

Implemented a Machine Learning model using Tensorflow which drives a car on a track based on video/image processing

CNN model trains algorithm on the fly from dataset. Always improving it as the car drives.

Technologies: HTML, Python, MYSQL, Google Compute Engine, Google Cloud Storage, Load Balancer, Tensorflow

Continuous Delivery pipeline with Bitbucket

Integrated Bitbucket with Jenkins. Created webhook to notify a new commit so that Jenkins automatically generates a new build.

Technologies: Jenkins, Bitbucket, Digital Ocean

Chef Recipes

Installed chef on local machine and bootstrapped using Knife. Also wrote chef recipes to run cron jobs for basic scripts

Technologies: Chef, Ruby

Academic Projects:

Processing Weather Data of Michigan

Designed an Application to process Michigan weather data for past 5 years. Analyzed time taken by CPU for different number of reducers using custom-partitioner.

Technologies: Python, HDFS, Hadoop, Map/Reduce

Implementation of Transaction Manager:

Implemented and tested ACID properties on relational database transactions. Used Multi-threading for concurrency control and serialization

Technologies: C++,Visual Studio

Database Indexing using B+ Trees:

Implemented a B+ tree Index on a file using mini-base, a educational DBMS. Performed Selection, Insertion and Deletion of tuples

Technologies: Java, Minibase

E-Commerce Application:

Developed a simple e-commerce application, where customers can buy products listed by the eBay Commerce Network API for shopping.

Technologies: PHP, HTML, CSS, JavaScript, REST API

Property Finder using Google Maps API

Developed an interactive website which handles mouse-click events on Google maps to display the property price’s. It also consists of option to locate the property by address.

Technologies: HTML, Google Maps API, Zillow API, JavaScript, GeoCoder

Project Stocks Analysis:

Project which predicts stock trends by studying public sentiment on twitter.

Use of machine learning and Natural Language Processing (Spacy) to find twitter sentiment.

Technologies: HTML, Google Stocks API, Python, CNN model, Spacy CERTIFICATION & ACHIEVMENTS:

Completed Google Professional Cloud Architect Certification by Google

Completed R & Python for Data Science Online Certification by Udemy

Contact this candidate