I'm a Software Engineer passionate about building scalable systems, automating workflows,
and creating tools that solve meaningful problems. I enjoy working at the intersection of software,
data, and infrastructure—transforming complex challenges into practical solutions using Python and thoughtful design.
When I’m not coding, I love traveling and capturing the world through my lens.
Photography and exploration keep me grounded and inspired.
May 2023 - Present
At Cruise, I work on building and improving the tools and systems
that help test and validate autonomous vehicle software.
This involves creating automated pipelines that turn large sets of
road data into realistic driving scenarios for simulation.
I also develop shared libraries that standardize data processing across
different tools, ensuring accuracy and consistency. My work focuses on
making these processes more efficient and reliable, helping to advance
the safety and performance of self-driving cars.
May 2022 - Dec 2022
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.
Courses: Machine Learning, Deep Learning, Reinforcement Learning, Robotics,Algorithms, Software Engineering, Operating Systems.
Courses: Basics of Machine learning, Reinforcement Learning.
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
Kindly email for phone number.
