Megha Sharma
Fremont,CA
Summary
Dynamic software engineer with experience at Amazon, specializing in Java and Python. Proven track record in delivering innovative features for Alexa, enhancing user engagement. Strong problem-solving abilities and mentoring skills, driving team success and operational efficiency. Committed to excellence in software development and technical documentation.
Overview
7
7
years of professional experience
Work History
SDE 2
Amazon
Sunnyvale, U.S.A.
06.2024 - 03.2026
- Built and enhanced Alexa+ calendar CRUD and Browse capabilities with a focus on intuitive workflows and intelligent behavior.
- Maintained code base, resolved bugs and implemented feature improvements to enhance functionality.
- Ensured operational readiness of Alexa+ through comprehensive testing and enhancements, improving reliability.
- Collaborated with product teams and stakeholders to gather requirements and design software features, aligning development with user needs.
SDE 1
Amazon
Sunnyvale, U.S.A.
08.2020 - 07.2024
- Designed and delivered product features for Alexa calendar, improving overall user experience.
- Developed Amazon 1P calendar for Alexa, enhancing user engagement and functionality.
- Led end-to-end delivery of business metric pipeline, providing actionable insights for Business Intelligence team.
- Internationalized calendar alert system, enhancing accessibility for global users.
- Performed software operational tasks to ensure reliability and performance of Alexa calendar services.
- Streamlined processes within software projects, contributing to improved operational efficiency.
- Mentored new engineers, fostering skill development and knowledge transfer.
Software Engineering Intern
Tesla
Fremont, U.S.A.
01.2020 - 04.2020
- Contributed to Tesla Factory software for automating car assembly processes.
- Migrated legacy system to Kubernetes for improved deployment efficiency.
- Developed Python scripts to streamline system fix automation.
- Tech Stack: Python, Docker, Git, Splunk, Oracle, MySQL, Kubernetes, Jenkins, Golang.
Graduate Teaching Assistant (Head TA) - Operating Systems
New York University
New York, U.S.A.
01.2019 - 12.2019
- Supported professor in coursework development and delivery to ensure curriculum alignment.
- Prepared and evaluated assignments and exams to assess student understanding.
- Assisted students with assignments to enhance their learning experience.
- Number of Students: 95; TA Team members: 6. (Team player and Organizer)
Research Internship (Autonomous Driving)
Technical University of Munich (TUM)
Munich, Germany
06.2019 - 08.2019
- Project: Development of autonomous overtaking mechanism for Hybrid simulator (Speed Dreams Simulator).
- Research on various Lane Detection and Vehicle Detection techniques (Deep Learning and OpenCV approaches): Lane Detection: Could detect curved Lanes. Vehicle detection: Used High Precision (77.99 MAP) algorithm, RetinaNet.
- Impact: First one in the Operating Systems Chair at TUM to use the Deep Learning approach in the Project; Research which can be used by the department further in the extension of the project. (Self-Learner and Responsible).
- Tech Stack: Python, TensorFlow, Keras, Numpy, Retinanet, OpenCV, Deep Learning, CNN.
Education
M.S. - Computer Science
New York University
New York, U.S.A.05.2020
B.Tech. - Computer Science & Engineering
Uttar Pradesh Technical University
Lucknow, India05.2011
Skills
- Java and Python
- AWS and cloud services
- Software development and database management
- Technical documentation
- Product design and requirements analysis
- Mentoring and collaboration skills
- Problem solving and analytical thinking
- Attention to detail
- Positive attitude and multitasking abilities
Projects
Smart Keyless Doorman System, Implemented Facial Recognition on live data stream by integrating Kinesis and webcam to know if the person on the door is a criminal, known or unknown and developed a chatbot to interact with the person.
Dining Concierge Chatbot, Developed a machine learning powered virtual concierge assistant by integrating it with various AWS Services and Yelp API to get the top 5 restaurants as per user preferences and machine learning predictions.
Text Voice Controlled Photo album, Implemented a photo album web application that can be searched using natural language through both text and voice.
Real-Time scalable Cab Processing System, Simulated how companies like Uber and Lyft take huge numbers of user requests and processes them.
Self Learning Projects, Various small projects to learn Spark Streaming, machine learning prediction, and object identification.
Languages
English
Full Professional
Hindi
Native/ Bilingual
Accomplishments
NYU Academic Excellence Award, Fall 2019, Awarded to students with meritorious academic performance.
References
References available upon request.
Timeline
SDE 2
Amazon
06.2024 - 03.2026
SDE 1
Amazon
08.2020 - 07.2024
Software Engineering Intern
Tesla
01.2020 - 04.2020
Research Internship (Autonomous Driving)
Technical University of Munich (TUM)
06.2019 - 08.2019
Graduate Teaching Assistant (Head TA) - Operating Systems
New York University
01.2019 - 12.2019
M.S. - Computer Science
New York University
B.Tech. - Computer Science & Engineering
Uttar Pradesh Technical University