• Led multiple projects with an emphasis on data-driven solutions, delivering high-impact results for a range of industries.• Conducted rigorous data collection, preprocessing, and feature engineering to ensure data quality and relevance.• Implemented state-of-the-art machine learning models, achieving exceptional accuracy rates and outperforming industry benchmarks.• Specialized in predictive modeling and advanced techniques such as ensemble methods, deep learning, and natural language processing.• Proficient in Python for data wrangling, pre-processing, and visualization, utilizing libraries like NumPy, Pandas, Matplotlib, and Seaborn.• Demonstrated expertise in deploying solutions on AWS cloud services, including Lambda, S3 Bucket, API Gateway, EC2 instances, CloudWatch, and DynamoDB for scalable and reliable solutions.• Skillfully employed Git for version control and collaborated effectively with cross-functional teams.Consistently achieved >85% in model accuracy, elevating the quality of predictions and decision-making for stakeholders.• Developing cloud architecture and creating services based on requirements in AWS (Lambda, S3 Bucket, API Gateway, CloudWatch, Route 53, ECR, DynamoDB) and Azure (Function, Storage, Data Lake, Cosmos DB, Machine Learning)

• Developed VoIP-based mobile applications with diverse modules to meet client specifications, enhancing the communication experience.• Utilized Android Studio IDE to create intuitive UI interfaces, focusing on user-friendliness and aesthetics.• Successfully integrated and managed various APIs, including Google Firebase for real-time communication, Stripe and PayPal payment gateway for secure transactions, and VoIP calling features.• Deployed applications to the Google Play Store for beta testing, ensuring that the product met the highest quality standards.• Efficiently managed project tasks through GitHub and tracked issues using JIRA, maintaining a well-structured and organized development process.

• Developed different Native Java, Flutter, and Kotlin-based applications all with innovative logic requirements• Focused on writing maintainable, testable and performant software in collaboration with the team• Exceptionally developed a Smart parking application on Flutter language to resolve parking-related issues ensured bug-free applications and successfully published it on the Google Play Store• Remarkable work on Google Firebase chat application, push notifications, retrofit JSON APIs (using Swagger), Azure CICD, Model-View-ViewModel(latest), and MVC Android architectures

• Developed majority of VoIP-based-calling applications by using the PJSIP library and performed on-demand debugging support using C/C++• Developed city’s metro project application using SQLite database & retrofit APIs. Also worked on XMPP chat-related application (similar to Whatsapp) where Ejjabered was used as a backend• Successfully performed and deployed 15 varied projects during the time

Trainee in Android for Smart Paying guest(PG) application.• Android Studio 2.3• Used SQLite DB• Worked on the local server• Integrated 3rd part libraries & Retrofit for APIs.