Hello! I'm Aneesh
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Garray Aneesh
MS Software Engineering @ SJSU
+91 9571025834
Email:
Date of Birth:
Dec 24, 2000.
Phone:
EXPERIENCE
Jan - July, 2022
Software Engineer Intern at bigbasket.com in the backend of bbdaily V2 .
Creating Crons or new api’s, enhancements . Using rxJava (for async flow) and NodeJs for microservice and monolith.
Debugging the RCA for the order failures in BBDaily.
Worked on order placement, retrying orders, billing them in bbDaily
flow.
Aug,2022 - Present
MTS Software Engineer at NetApp.
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• Working with Codeline Stability and Regression(CSAR Functional QA) team.
• Provide test coverage review and write new Python automation code for the Continuous Integration Test suite for NAS protocols(NFS) and triage the failures and file bugs appropriately, and bring the bugs to closure. • Working on the non-disruptive operating system(ONTAP) upgrade and writing automation scripting in Python for validation and checks before and after the upgrade ONTAP OS(operating system).
• Also worked on Astra Cloud Control(ACC) team on rectifying bugs.
• Worked on integrating AWS, GCP, Azure with NetApp products.
EDUCATION
2024-2025
MS
MS.Software Engineering
San Jose State University
MS.Software Engineering
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2018-2022
B.Tech, CSE.
B.Tech
NIIT University
B.Tech, CSE
CGPA: 7.85
Wes Report CGPA: 3.65/4
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2016-2018
Senior Secondary Education
Senior Secondary Education
FIITJEE Junior College
MPC
XII th: 91.2%.
2013-2016
Secondary Education
Secondary Education
Dr. K.K.R Gowtham Concept School.
X th: 9.2 GPA
SKILLS
Python
Java
Android Studios
JavaScript
Django
MySQL
HTML, CSS
Machine Learning
PROJECTS
ParKar
An android application for booking Parking Slots in a parking lot by selecting date and timeslot.
Done using Android Studios and Firebase.
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Guest Recognition Feature In Hotels
Hospitality Management Project, Using Beacon Technology.
Recognizes the customer when he is near the staff member in the range of 3m and pronounces his/her name in the Bluetooth device connected.
Tracks the customer inside the Hotel premises
E-Banking Log System
Generating logs in a Banking Application,
Message logs, Error logs, Warning logs, etc with date, time, and location.
This data can be used for fraud detection, calculation of credit card scores, etc.
Done using Django and Postgresql.
Amazon Review Sentiment Analysis
Analysis of food product reviews given by customers in Amazon.
Using Machine Learning, Training the model with the help of the data to predict the accurate rating with the help of the review given by the customer.
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NanoEPL Database Management.
Database for NanoEPL where a student can submit their assignments, mentors are allotted to every group of students, teachers can grade the students submissions and provide feedback on them.
DBMS project.