Deep knowledge of machine learning algorithms, statistical modeling and data structures. Proficient in various industry-standard programming languages along with expertise in AI libraries and frameworks. Strong background designing and developing AI models. Versed in data governance, privacy, and security best practices.
03/2018 - present, Machine Learning Software Engineer, Siemens, Alpharetta, GA
- Design machine learning applications in sensor perception and sensor data fusion.
- Resolve complex issues pertaining to sensor-modeling, scenario-driven development and corner cases identification.
- Coordinate simulation-based generation of training and validation data.
- Consistently deliver high quality software within an Agile/Scrum environment.
02/2014 - 03/2018, Machine Learning Engineer, Intel, Remote
- Delivered key contributions to various projects entailing development of advanced algorithms and applications of machine learning.
- Liaised extensively with multidisciplinary teams to identify, analyze and resolve complex tasks involving industrial application of advanced machine learning.
06/2013 - 12/2013, Data Science Intern, ATN International, Atlanta, GA
- Assisted with research into state-of-the-art data science concepts.
- Identified and contributed to resolution of technology gaps by designing and coding prototypes.
- 4.0 GPA | Honors Graduate
- 3.8 GPA | Dean's List
- AI / ML Technology
- Cognitive Computing
- Image Recognition
- Deep Learning
- Amazon AWS
- AI Libraries & Frameworks
- Statistical Modeling
- Robotics
- Google Cloud Platform
- Requirements Analysis
- Natural Language Processing (NLP)
- AI Regulations & Ethics
- present, Data Science Certificate, Cornell Online Programs
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