Siddesh Shivalingaiah
Machine Learning Engineer
Bengaluru
Summary
Results-oriented Software Engineer with a focus on Machine Learning. Experienced in building modern data-driven applications utilizing state-of-the-art ML techniques and Generative AI ecosystems. Expertise in open-source ML libraries and platforms with a proven track record of leveraging ML solutions to solve complex customer problems.
Overview
9
9
years of professional experience
4
4
years of post-secondary education
Work History
Programmer Analyst
Boeing
11.2023 - Current
- Delivered documentation giving critical analysis and suggestions for correcting errors with a 96% adoption of recommendations
- Reviewed CAD drawings from junior team members for accuracy, making suggestions for improvement and increasing leadership satisfaction by 10%
System Development Engineer
Amazon
01.2022 - 11.2023
- Developed a user preference prediction model, which improved personalized user experiences by 27.4% as per user engagement metrics.
- Designed a distributed machine learning framework on HPC clusters, reducing model training time from 14 hours to 7 hours for large-scale risk assessment models.
- Developed highly scalable classifiers and recommendation systems that serve over a million users.
- Created feature roadmaps based on synthesized requirements, guiding the development cycle and ensuring timely delivery of high-impact features.
Developer
SAP
06.2017 - 01.2022
- Spearheaded the transition from manual data labeling to self-supervised learning methodologies, reducing data preparation times by 50%.
- Collaborated with a cross-functional team to utilize AWS Sagemaker and Vector Databases in various projects, optimizing processing time by 30%.
- Championed MLOPS practices, streamlining the ML lifecycle and promoting reproducibility, automation, and scalability.
- Created customized applications to make critical predictions, automate reasoning and decisions and calculate optimization algorithms.
- Designed and implemented ML models using libraries such as TensorFlow and scikit-learn, resulting in a 25% increase in data processing speeds.
- Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale.
ITO Consultant
HPE
02.2015 - 05.2017
- Developed cost estimates and project specifications for proposals.
- Conducted research to test and analyze feasibility, design, operation and performance of equipment, components, and systems.
- Developed planning criteria for integrating and enabling new technologies.
- Routed and integrated technical and electrical components for projects.
Education
Bachelor of Engineering - Information Science And Engineering
Global Academy of Technology
Bangalore 06.2010 - 06.2014
Skills
Python
undefinedTimeline
Programmer Analyst
Boeing
11.2023 - Current
System Development Engineer
Amazon
01.2022 - 11.2023
Developer
SAP
06.2017 - 01.2022
ITO Consultant
HPE
02.2015 - 05.2017
Bachelor of Engineering - Information Science And Engineering
Global Academy of Technology
06.2010 - 06.2014
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