Ayush Sharma Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

- Backend Engineer at Adobe since September 2022, focused on delivering high-quality software solutions within a dynamic environment.- Proficient in Java Springboot development, consistently meeting business requirements and enhancing system performance while maintaining critical services with impressive response times.- Responsibilities encompass a wide range of technical tasks, including comprehensive testing, integration, and automation, as well as expertise in monitoring tools and high-volume service creation.- Developed extensive automation, integration, and unit tests, resulting in improved software reliability and a reduction in bug occurrences.- Proficiently utilized monitoring tools such as Grafana, Splunk, and New Relic to continuously monitor system performance, identify bottlenecks, and implement optimizations for enhanced efficiency and stability.- Leveraged Apache Storm to design and implement a high-throughput notification service capable of handling 40,000 requests per minute (rpm), significantly improving the user experience.- Responsible for maintaining a mission-critical service related to license information, achieving a remarkable response time of less than 30 milliseconds (ms) to ensure uninterrupted service availability and meet strict SLAs.- Collaborated effectively with cross-functional teams, including developers, product managers, and operations, to drive project success and align technical efforts with business objectives.

Bengaluru, Karnataka, India

- Developed AOSP Android apps in Java and created Android system apps tailored for laptops.- Played a pivotal role in enhancing and adding features to the AOSP file manager app designed specifically for Android-based laptops.- Led the development of the StickyNotes app from inception, building it entirely from scratch using Java for Android-based laptops.- Took ownership of app and feature development, demonstrating a high level of responsibility and leadership within the team.- Actively contributed to enhancement proposals and the expansion of capabilities for various applications.- Followed agile development practices, including Scrum, to ensure efficient and collaborative project management.

Pune, Maharashtra, India

- Proficiently conducted data analysis using Python, processing data sourced from APIs connected to ECUs (Electronic Control Units) installed in various vehicle models.- Developed machine learning models, including Support Vector Machines (SVM), K Means Clustering, Decision Trees, and XG Boost, to monitor the lifecycle of engine oil.- Demonstrated a strong ability to work independently, taking the lead in most data analysis tasks.- Effectively communicated findings and inferences derived from data analysis to address business use cases, facilitating data-driven decision-making processes.

Raipur, Chhattisgarh, India

- Research and Development Intern at Logy.ai, with a tenure of 6 months from October 2019 to March 2020.- Conducted research focused on object detection methods for diagnosing malaria from blood smear images.- Developed a user-friendly AutoML application, using Django and TensorFlow, to facilitate model training for computer vision projects in the medical field.- Demonstrated a high level of independence in data analysis tasks and effectively presented findings for business use cases.- Created an integrated object detection pipeline within Django, streamlining data preprocessing and modeling for an AutoML portal dedicated to disease detection.- Proposed and implemented a two-stage Faster R-CNN (F-RCNN) based model, significantly enhancing precision for Malaria Parasite detection from 40% to 80%.- Actively engaged in daily responsibilities involving literature review and research paper analysis, contributing to the continuous improvement of Malaria Detection Research.

- CS Summer Intern at Artificial Visual Labs, with a 3-month tenure from May 2019 to July 2019.- Developed a proof-of-concept (POC) makeup emulation application in C++, allowing users to apply virtual makeup, including eyeliner, blush, lipstick, and eye-shadow, to selected images of their faces.- Conducted data analysis on CCTV footage from a factory to assess wood quality.- Analyzed CCTV data from a hotel lobby to track human movement and provide analytics on the movement of people.- Spearheaded the development of multiple proof-of-concepts (POCs) in Python and C++, addressing various computer vision tasks, showcasing a versatile skill set.- Contributed actively to presentations and research, leveraging computer vision techniques to solve practical problems and enhance the functionality of existing systems.