BRIJESH MUTHUMANICKAM

*** ******** ******, ******, **-92612

adllrc@r.postjobfree.com 949-***-****

www.linkedin.com/in/brijeshmuthu www.github.com/brijesh2709 Objective: Diligent and passionate undergraduate student looking forward for internship. Coding Languages: Python (Highly Proficient), Java (Proficient), C/C++ (Proficient), C#, HTML, CSS, React Frameworks: Flask, MongoDB, Django, numpy, sklearn, ASP.NET MVC, speech_recognition, beautifulsoup, threading Tools and OS: Postman, REST API, Visual Studio, RabbitMQ server, Tkinter GUI toolkit, Parsehub Experience:

Back End Developer Fall 2020 - Present

Internet of Cognitive Things in healthcare

University of California, Irvine, Nikil Dutt group, Health Care IoT Research Team o Redesigned to a NoSQL RDBMS with 150K+ entry using MongoDB o Improved the program/algorithm through client requests to have optimal performance o Technical Stack: Flask MongoDB REST API Postman RabbitMQ server Celery

Software Developer Intern Fall 2020 – Present

Intern Guys - Irvine, California

o Implemented .NET Entity Framework 6 to associate with database for CRUD operations with Anti Forgery Token o Experience in Google’s Implement Email Services using Google’s SMTP server and optimized the performance o Technical Stack: ASP.NET MVC Entity Framework SQL Server REST API OOPS Academic Project:

AgriSense – IoT based Smart Agriculture System (HTML, CSS, C++, Python)

• Robust plant monitoring system using Arduino Uno, and Soil Moisture, LDR and NTC sensors to collect sensory data

• Launched EC2 instance on AWS to retrieve sensory data transmitted using ESP8266 Wi-Fi Module with HTTP protocol

• Implemented a Real time plotting dashboard using a Flask server to retrieve data, and HTML to plot data

• Handled requests from nginx using gunicorn3 Webserver Gateway Interface

• Technical Stack: gunicorn3 nginx Flask HTTP protocol EC2 Instance HTML Geocoding Application using Mapquest API (Python)

• Used MapQuest APIs to calculate time to arrival, distance, and directions to requested destination from a given user location

• Provides user with nearby places of interest based on location and preference

• Technical Stack: Tkinter GUI Python MapQuest API Customer Churn Prediction using Machine Learning (Python)

• Visualized data, conducted data cleaning, imputed missing values, created new structures to improve model performance

• Implemented a Combined Weighted Ensemble of Gradient Boosting, Random Forest, and Extra Trees classifiers

• Technical Stack: sklearn Pandas numpy matplotlib Random decision trees Gradient boosting User Management System using Django framework (Python)

• Created a web application that allows users to create, login, logout, and register

• Implemented security feature - SHA256 to encrypt user passwords and store them securely in the database

• Technical Stack: Python Django MongoDB Postman Voice Assistant Application for questions on COVID19 (Python)

• Web Scraping process that updates the information constantly through polling and end points for live updates on COVID19

• Implemented the Speech recognition matching using the Regex patterns to interpret the result

• Technical Stack: speech_recognition re Python threading pyttsx3 parsehub Education:

UNIVERSITY OF CALIFORNIA, IRVINE (JUNIOR standing) Sept 2018- Expected graduation 2022 Major: Computer Science (Prospective specialization in AI) Relevant Coursework: Data Structure implementation and analysis, Machine Learning and Data Mining, IoT Software and Things, Computer Networks, Programming with Software Libraries, Statistics and probability for CS, Discrete Mathematics, Certifications:

• Cambridge Certification Authority: Java Level 1 and 2 certified

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