Taruneswararao Galla
Bengaluru
Summary
Experienced Android developer with 3 years of expertise in building and optimizing high-quality android applications. Demonstrated success in automating critical business processes, enhancing user experience and application performance through effective solutions and strong contributions to development teams.
Overview
3
3
years of professional experience
Work History
Engineer SW
Motorola Mobility
11.2022 - Current
- Engineered the Auto Lock feature to enhance device security by automatically locking the device when it leaves trusted locations or disconnects from trusted Bluetooth devices or Wi-Fi networks, resulting in a 24% reduction in unauthorized data breach reports from users.
- Developed and integrated real-time Malware and Phishing Detection features, strengthening app security by identifying malware and blocking 85% of malicious URLs accurately.
- Spearheaded the end-to-end development of an Auto Triage system for Jira CRs, leveraging a Transformer model to automatically analyze change request summaries and assign them to the correct teams, reducing manual triage effort for the teams by 79%.
Application Development Analyst
Accenture
07.2021 - 10.2022
- Automated the ingestion of emails into a Hadoop cluster, cutting manual effort for analysts by 90% and streamlining the data processing
- Led the development of a validation system for ingested email files in Apache Solr, improving data accuracy by 95% and preventing data loss.
Education
Bachelor of Technology in Computer Science -
Anil Neerukonda Institute of Technology & Sciences
Visakhapatnam, IndiaHigher Secondary school (12th standard) -
Narayana Junior College
Visakhapatnam, IndiaSkills
- C
- Python
- Java
- Kotlin
- Jetpack Compose
- Dagger - Hilt
- MVVM architecture
- Room Database
- Retrofit
- XML
- Django
Projects
Retinal Disease Diagnosis using Deep Learning, https://github.com/GallaTarun/OCTImageClassifier
- Trained a Convolutional Neural Network (CNN) on a dataset of ~85000 Retinal OCT (Optical Coherence Tomography) images, achieved 82% accuracy in the classification of anomalies in the images.
- Technologies: Python, Django, Tensorflow, Keras, Pandas, HTML, CSS.
Accomplishments
- Awarded Bravo award for outstanding contribution to the Auto Triage system for Jira CRs, which significantly reduced the triaging load for the teams.
- Received global recognition at the Global MBG Hackathon 2023, for the project idea “Care for Dependants”, which helps parents understand the mental health of their teenage children based on their activity on mobile.
Timeline
Engineer SW
Motorola Mobility
11.2022 - Current
Application Development Analyst
Accenture
07.2021 - 10.2022
Bachelor of Technology in Computer Science -
Anil Neerukonda Institute of Technology & Sciences
Higher Secondary school (12th standard) -
Narayana Junior College
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