

Somya Sharma
Systems Engineer
About Me
Hello! I’m Somya Sharma. I am passionate about Artificial Intelligence I am a skilled Systems Engineer and master of Machine Learning
I am a quick learner and a team worker that gets the job done.
I can easily capitalize on low hanging fruits and quickly maximize timely deliverables for real-time schemas.
Bio
Age
23
Email
somya@somyasharma.ml
Professional Skills
Python
MySQL
JavaScript
C++
Cython
OpenCV
MySQL
Tensorflow
Work Experience
Systems Engineer at Infosys Limited, Bangalore
2021 - Present
I installed, configured, tested, and maintained operating systems, application software, and system management
tools.
• Part of the team that was responsible for providing complete life cycle engineering and technical development
support. It included mapping information to the customer data model, analyzing various mission-related messages
mapping data elements.
• Developed documentation of network connections hardware for the operational, test development environments
and tested the efficacy of various commercial Intrusion Detection products.
• A proven track record of installing, configuring, and troubleshooting UNIX-based systems.
• Monitored and tested application performance for potential bottlenecks; identify possible solutions. I was in charge
of continual maintenance of security, including backup and redundancy strategies.
• Ensured the logical systematic conversion of customer or product requirements into total systems solutions that
acknowledge technical, schedule and cost constraints.
Bitcoin Price Predictor Project
Chandigarh
Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Projects
Face recognition + attendance project
Created an attendance project that used a webcam to detect faces and recorded the attendance of 2000 students
live in an excel sheet using Machine Learning. Knowledge-Based face detection and Neural networks performed
face recognition. FFNN was applied to classify to solve the pattern recognition problem. The classification result
came out to be accurate
Automatic colorization of unique greyscale images
I performed fully automatic colorization of unique greyscale images combining state-of-the-art CNN techniques.
Using color representation and the right loss function, the method was capable of producing a plausible and
vibrant colorization of certain parts of images that have properties that may be applied to video sequences also.
Ryze and DJI Tello EDU
1995 - 2007
The Tello SDK connects to the drone through a Wi-Fi UDP port. The drone runs with python text commands.
This project was more towards open CV and then integration towards Tello. I used the Tello drone with a 13
minute flight time, captures images at 720 p at 30 frames per second.
Contact
somya@somyasharma.ml