Education
University of Michigan
Masters
Data Science
08/2023 - present
Ann Arbor, US
Course Highlights: Machine Learning, Large Language Models, Information Retrieval, Database Management Systems, Data Manipulation and Analysis
PES University
Bachelor of Technology
Computer Science and Engineering
08/2019 - 06/2023
Bengaluru, IN
GPA: 3.53/4.0
Course Highlights: Machine Learning, Statistics for Data Science, Cloud Computing, Big Data, Data Analytics
Awards/Honors: Prof. M R Doreswamy Merit Scholarship for excellent academic performance
Work Experience
Amazon
Software Development Engineer Intern
May 2024 - Aug 2024
Seattle, US
- Implemented a distributed lock mechanism in AWS Batch Scheduler, preventing job queue blocking and ensuring accurate vCPU calculation
- Enhanced AWS Batch Scheduler robustness with detailed monitoring metrics for Manager bootstrapping process.
University of Michigan
Graduate Student Instructor
January 2024 - May 2024
Ann Arbor, US
- Led discussion sections for Statistics 250, increasing student participation by 20%
- Designed and graded assessments, providing constructive feedback in lab sections and office hours.
Genpact
Data Scientist
February 2023 - August 2023
Bengaluru, IN
- Created data-driven dashboards and conducted KPI trend analysis, reducing customer churn by 30% and increasing average order value by 25%.
PES University
Teaching Assistant
June 2022 - November 2022
Bengaluru, IN
- Orchestrated interactive sessions for Statistics for Data Science, increasing participation by 25% and improving academic performance by 15%
- Facilitated application of theoretical concepts, resulting in 25% increase in comprehension.
Smarthub.ai
Data Analyst
June 2022 - October 2022
Bengaluru, IN
- Developed ML model for TVS Motors' Paint Optimization Project, reducing paint runoff by 98%, resulting in significant cost savings and environmental impact.
Skan.ai
Data Science Intern
June 2021 - August 2021
Bengaluru, IN
- Implemented process similarity matrix to identify anomalous data patterns, streamlining sequential processes and reducing operational bottlenecks by 30%, improving overall productivity by 20%.
Publications
RtTSLC: A Framework for Real-Time Two-Handed Sign Language Translation
Conference
Aryan Sharma, Ashwin Srinivasa Ramanujan, Aaptha Boggaram, Ankith Boggaram, R. Bharathi
International Conference on Smart Trends in Computing and Communications
Conceptualized a Framework for Real-Time Two-Handed Sign Language Translation for Indian Sign Language(ISL).
Machine LearningComputer VisionSign LanguageReal-Time Translation
Sign Language Translation Systems: A Systematic Literature Review
Journal
Aryan Sharma, Ashwin Srinivasa Ramanujan, Aaptha Boggaram, Ankith Boggaram, R. Bharathi
IGI Global
Surveyed Literature on Translation Systems by reviewing and summarizing more than 200 research papers and articles.
Machine LearningComputer VisionSign LanguageReal-Time TranslationSurveyLiterature ReviewSystematic ReviewSystematic Literature ReviewSLR
Cardiac anomaly detection models for wearable devices
Poster
Aryan Sharma, Aaptha Boggaram, Ankith Boggaram, Dr. Madhura Purnaprajna
13th HiPC Student Research Symposium (SRS),28th IEEE International conference
Developed an architecture for a wearable device for classifying 2-lead ECG signal with 98% accuracy.
Machine LearningECGCardiac Anomaly DetectionWearable DevicesDeep LearningCNN
Awards
Prof. M R Doreswamy Merit Scholarship for excellent academic performance.
Top 5% of the class
2021Prof. M R Doreswamy Merit Scholarship for excellent academic performance.
Top 5% of the class
2020