Net Applications Developer resume example with 7+ years of experience

Jessica Claire
Software Development Engineer
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • Home: (555) 432-1000
  • Cell:
Websites, Portfolios, Profiles
Professional Summary

Enthusiastic Software engineer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Ready to work closely with both teams and customers to identify most efficient and beneficial solutions for process improvement.

  • .Net Core, Web API, ASP.NET, SQL Server, ORM, Angular 5, Bootstrap
  • C#, Python, C, C++, Javascript
  • Tensorflow, Keras, Scikit-learn
  • SQL Server, Oracle
  • Applications Development
Work History
.Net Applications Developer, 05/2016 to 12/2019
MTA, Metro-North RailroadCity, STATE,
  • Developed an internal mobile&web application called STAR APP which is available for both android and IOS devices.
  • Worked closely with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability and performance
  • Researched, designed and implemented scalable applications for information identification, extraction, analysis, retrieval and indexing.
  • Experience handling and scheduling windows service jobs using hangfire.
  • Performed code review and creation of various modules and ensuring optimal performance of the application.
  • Checking procedure performance and tuning them if needed.
.Net Developer, 09/2015 to 04/2016
  • Developed software that interacts with exchanges and clearing houses to clear day to day activities and worked with Interest Rate Products Technology within Fixed Income, Currency and Commodities division.
  • Gathering requirements for projects, proposing user-friendly and efficient GUI and reliable back-end application design.
  • Initial study and analysis, analyze the requirements and Creating Low level design
  • Determining new ways to improve their user experience with the software’s they use for trading.
  • Designed and developed the core modules like builder management, Contact, Approval, Common and admin modules.
  • Created and fixed many complex stored procedures
.Net Developer, 03/2012 to 08/2015
Phillips66City, STATE,
  • Developed intranet web applications that was used as part of transition projects. Involved in Design, Development, Maintenance and Production Support activities.
  • Experience handling batch jobs for clients related to finances, membership, meetings, inventory etc.
  • Created Web Services to accessing data from a database on a back-end server.
  • Developed internal tool to put together and handle different configurations of other applications.
Nano Degree: Artificial Intelligence, Expected in 06/2018
Udacity - Online ,
Master of Science: Computer Science, Expected in 08/2011
University of Louisiana At Lafayette - Lafayette, LA
Bachelor of Technology: Information Technology, Expected in 05/2010
JNTUH - Hyderabad,India,
Artificial Intelligence Projects

    Game Playing Agent(Python)-

  • Built a Game playing agent for Isolation game using different search algorithms and custom heuristic methods.
  • Implemented alpha-beta pruning, mini-max and iterative deepening search algorithms to search the game tree.
  • Using different evaluation functions, custom heuristics are developed to win the game in best possible method
  • Analyzed and documented the performance using win-rate for each heuristic against different game starting positions.(Random,Center,Cornor etc.)
  • Dog Breed Classifier(Python,TensorFlow,Keras,OpenCV,Scikit-learn)-

  • Built a Classifier using Machine Learning classifier-Convolutional Neural Networks(CNNs),TensorFlow,Keras that classifies the dog breed correctly if a dog image is given. Or if a human image is given, it gives the similar dog breed.
  • Dataset of dog images are divided into test,train and validation set to test the problem of over-fitting and under-fitting of the models
  • Used ResNet-50 model which is pretrained on the ImageNet dataset to detect dog images and used OpenCV’s Haar feature-based cascade classifiers to detect human faces
  • Trained the CNN using transfer learning using pre-trained VGG-19,ResNet-50,Inception,Xception models to reduce training time.
  • Time Series Prediction and Text Generation(Python,TensorFlow,Keras):

  • Built a model that predicts the stock prices of a company and generates sentences based on a novel using Machine Learning classifier- Recurrent Neural Networks(RNN) that generate sequences based on input data
  • Used Long Short Term Memory(LSTM) cells architecture in the RNN.
  • One-hot encoded the input characters
  • The model predicts the next sequence of characters taking previous set of characters as input thus producing predicted sentences.
  • Used Categorical Crossentropy loss and Keras RMSProp optimizer to compile the RNN model.
  • Computer Vision Capstone Project (Python,OPenCV,CNN,TensorFlow,Keras):

  • Built a facial keypoint generator using deep learning concepts
  • Used Haar Cascade Classifier to detect faces in the input image data.
  • Detected edges of an image using OpenCV’s Canny edge detector
  • Created and trained Convolutional Neural Network (CNN) to detect facial keypoints.

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Resume Overview

School Attended

  • Udacity
  • University of Louisiana At Lafayette

Job Titles Held:

  • .Net Applications Developer
  • .Net Developer
  • .Net Developer


  • Nano Degree
  • Master of Science
  • Bachelor of Technology

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