Intro - Sai Nikhil - Personal Website

Hi, I am Sai Nikhil

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Hi, I am Sai Nikhil

WHO I AM

About

SAI NIKHIL

Age: 26

Nicknames: saint1729, tsn, kira

Height: 5′ 10”

Nationality: Indian

Religion: Indian

DOB: Jul-02-1992

Favorite Sport: Cricket

Favorite Star: Virat Kohli

Favorite Numbers: 2, 21, 163, 1729

My full name is Sai Nikhil Thirandas. I currently work as an Applications Engineer at Oracle IDC – Hyderabad. My hobbies are playing Cricket, Volleyball. My major interest is in field of Machine Learning. Completed Andrew Ng’s course from Coursera and started working on Kaggle recently.

Resume

MY BIO

Resume

August 2015-Present - Work in company "Oracle"

Applications Engineer

ERP Software Development
Web Services
JAVA

Expertise in developing and implementing web applications using Java and J2EE Technologies.
Expertise in building Oracle Application Development Framework (ADF) applications using ADF BC and ADF Faces.
Expertise in tuning performance of ADF applications using JRockit Flight Recorder (JFR) and JDeveloper CPU Profiler.
Expertise in writing Visual Basic Macros and Helper Modules, Shell scripting.
Expertise in Oracle Business Intelligence Enterprise Edition (OBIEE), BI Publisher (XML Publisher) Report Template creation, Data Modeling.
Experience in using Log4j for logging errors and Oats, JUnit in performing unit testing.
Good knowledge in Web Servers (Apache HTTP server, Tomcat) and Application Servers (Weblogic).

May 2013 - Aug 2015 - Work in company "Altair Engineering"

Research and Development Engineer

Software Development
Image Processing
Optical Character Recognition

Developed a GUI Automation software based on open source equivalent Sikuli.
Expertise in implementing basic and advanced algorithms in different areas of image processing (read from/write to an image to get byte_data, gray scaling, thresholding, edge detection, alpha-blending & pyramid template matching of an image, OCR for bitmap/raster screen fonts(@96 DPI).
Expertise in using image processing libraries; OPENCV, libpng, libjpeg, libtiff.
Expert knowledge in Tesseract-OCR (an open-source OCR engine). Adapted existing code, achieving at-least 95% of accuracy in text-recognition for screen fonts compared to an earlier poor recognition.