rahnayak98 Goto Github PK

Hi there, My Name is Rahul 👋

Summary

• I am currently Pursuing my Masters in Computer science from Arizona State University
• I am also open to work and currently looking for SDE internships and SDE Roles for Spring 2024. Feel free to reach out to me on my email 😃

Skills

• Some of my skills include as follows
• Programming languages:
• FrontEnd technologies:
• Backend Technologies:
• Database:
• Cloud technologies: Amazon S3,EC2,Lambda.
• Other technologies: .NET Core

Work Experience

• Software Developer at Accenture:
  · Developed procedures and functions in PL/SQL for historical financial data migration in the data warehouse.
  · Created and executed shell scripts to automate batching and scheduling of tasks for deployment in the DEV environ- ment using Control-M software.
• Software Engineer Intern at Honeywell:
  · Conducted a thorough analysis of the program flow of a complex legacy application, originally developed using .NET Framework, to understand its functionality. · Designed and developed plant simulator control software using C#, migrating the application from .Net framework to ASP.NET Core.

#Projects:

AWS based Smart classroom assistant for educators.

● Implemented an end-to-end scalable solution for image recognition using multiple IaaS services of AWS.
● Developed automatic scaling of the application to handle increasing demand by using no more than 20 EC2 instances and queuing pending requests using Simple Queue Service (SQS) , with inputs and outputs stored in separate S3 buckets for persistence.
● Optimized implementation to meet the target performance to handle the peak load and was able to handle more than 5000 multithreaded requests.
● Added additional functionality using AWS Lambda which can automatically scale out and in on demand.
● Developed the algorithm that performs face recognition on videos, looks up recognized students in DynamoDB, and returns their academic information as a csv file.
● Utilized Docker containers to create a customized Lambda function for video processing and face recognition resulting in a highly efficient application that can process more than 1000 requests in less than 7 minutes.

Stock trading system Fall 2022

● Developed a stock trading platform that allows users to trade stocks. The platform caters to two distinct user types: Administrators and Customers.
● Created multiple API’s using java to buy stock, sell stock, create stock, placing market and limit orders and used MariaDb as the database.
● Developed the front end using React.Js and used Redux for state management so that when multiple users login to their account they can view their own portfolio.
● Implemented a random stock price generator using python that dynamically fluctuates prices throughout the day to enhance the realism of a stock trading platform by sending continuous POST requests to the sever.

Mental health treatment predictor using data mining.

● Classified whether or not an employee needed treatment based on the mental health in tech survey data.
● Preprocessed and cleaned the obtained data in order to apply classification algorithms.
● Implemented variety of machine learning classification algorithms like Logistic Regression, Random forest, Support vector machine, Decision tree, K nearest neighbor, Recurrent neural network, Adaboost.
● After comparing these classifiers using performing metrics such as Accuracy,F-1 score ,precision and recall achieved the best classification accuracy of 84% for support vector machine .

🔥 My Stats :