Spandana Lekkala
Software Engineer, AWS AI at Amazon Web Services (AWS)
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSpandana Lekkala is a software engineer with 11 years of experience, currently building deployment and optimization tooling on the AWS SageMaker Neo team. She brings deep systems and automation expertise from prior roles at NVIDIA and Synopsys, where she improved chip code workflows and enhanced the leading logic synthesis tool with C/C++, Perl, and Python. A strong academic foundation—MS in Computer Engineering from Texas A&M and a top-ranked B.Tech. from IIT Patna—pairs with hands-on skills in debugging, memory-leak fixes, and regression testing to deliver robust production software. She specializes in performance-sensitive engineering across cloud AI deployment and EDA toolchains, often automating repeatable processes that accelerate developer productivity. Colleagues rely on her ability to translate low-level technical constraints into reliable, scalable tooling for model and chip lifecycle workflows.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 9.03/10 Rank in class: 3, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 9.03/10 Rank in class: 3 at IIT, PatnaMaster of Science (MS), Computer Engineering, 3.9/4, Master of Science (MS), Computer Engineering, 3.9/4 at Texas A&M University
English, Telugu, Hindi
Github Skills (31)
pytorch10
deploying10
python10
machine-learning-models10
mxnet10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
huggingface10
aws10
jupyter-notebook10
amazon10
jupyter9
data-science9
Programming languages (3)
Github contributions (5)
lekk32/sagemaker-python-sdk
Feb 2021 - Feb 2021
A library for training and deploying machine learning models on Amazon SageMaker
Contributions:4 pushes, 3 branches in 1 day
deployingsagemakeramazon-sagemakerdeploying-machine-learningamazon
lekk32/neo-ai-dlr
Aug 2020 - Aug 2020
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
Contributions:4 pushes, 1 branch in 2 days
sagemakerneotvmdeep-learningdlr
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