I build Intelligent Systems that takes away our redundant work and allows us to solve new and exciting problems.
I am currently pursuing my Master’s degree in Computer Science (TAMU May'23) and my primary focus is in the field of Applied Machine Learning and Data Science. I have worked on projects exploring the fields of Computer Vision/ Perception, Machine Learning, Deep Learning and Reinforcement Learning Algorithms.
May 2022 - Present
I worked on developing a new tool for simulation coverage analysis which allowed
the system engineers to identify coverage gaps, find relevant scenarios from simulation data along with
dynamic geo-spatial visualisations for quick overview.
Currently working on using Reinforcement Learning for stress testing the Autonomous Vehicles.
May 2017 - June 2021
I led a team of manual and automation test engineers to ensure the quality of a pilot SCADA product right from user story break down phase to Product Delivery. I was the youngest SME and Test Owner for one of the innovation line pilot project at Siemens DDI. I also worked and collaborated with multiple cross-functional scrum teams at different phases.
I developed windows form applications to automate the user stories comprising desktop applications and websites (Selenium framework wrapper). I designed and built mini frameworks that would reduce the user story automation time with low maintenance efforts.
Oct 2014 - May 2017
I worked with finance data of one of the Big 4 companies, and validated their reporting system’s results. I designed SQL queries and stored procedures to validate the data in the reporting system and was able to uncover 45% more issues than what were possible through UI testing.
I also worked closely with DBA to detect the discrepancies if any early on in the software cycle. I was awarded on multiple occasions for my contributions.
August 2021 - May 2023 (Expected)
Courses: Machine Learning, Deep Learning, Reinforcement Learning, Robotics,Algorithms, Software Engineering, Operating Systems.
Jan 2020 - May 2020
Courses: Basics of Machine learning, Reinforcement Learning.
August 2010 - July 2014
Courses: Microprocessors, Microcontrollers, Analog and Digital Systems etc.
I like to implement what I learn. Check out my personal and professional project details here.
San Francisco, CA
US
alekhya.ramarao@gmail.com
alekhya.duba@tamu.edu
Kindly email for phone number.