-- Engineering professional with more than three years of experience in the design, development, and implementation of Client-Server Web Applications.-- Over two years of research experience in data analysis and data engineering using Python, Machine Learning, and Big data tools Spark, Hive, Hadoop, SQL.-- Proficient in Computer Science fundamentals e.g. object-oriented programming, data structures, algorithms, etc.-- Solved 500+ critical programming problems on online coding platforms such as LeetCode, HackerRank, and Codeforces)-- Obtained Master’s in Computer Science from the University of Manitoba.-- My research area is focused on Computer Vision, Machine Learning, and Deep Learning.-- Interest in Machine Learning, Data Analysis, Software Engineering, and Problem-Solving.Technical Skills:-- Programming: C/C++, C#, Java/J2EE, SQL, Python.-- Frameworks: .NET, ASP.NET MVC, ORM (Object-Relational Mapping). -- API: REST, SOAP, GraphQL.-- Database Design and Development: SQL Server, PostgreSQL, MySQL, Entity Framework, Table Storage, Hibernate.-- Project Management and Version Control Tools: Git, Gitflow, JIRA.-- Front-End Development Knowledge: JavaScript, HTML, CSS, Bootstrap, jQuery, JSON.-- Design Architectures: Object-Oriented Design, MVC design patterns, N-tier Architectures, Onion Architecture.-- Cloud platforms and Containers: AWS, Docker, Kubernetes.-- Testing tools: JMeter, Postman, Selenium.-- IDE: Visual Studio, Eclipse, IntelliJ.-- Big Data and Distributed Computing: Spark, Hive, Hadoop.-- Data Analysis Tool: R, SAS, PowerBI.-- ML Framework: Pytorch, Tensorflow.-- ML skills: Machine Learning, ANN, CNN, RNN, Deep Learning, Hypothesis Transfer, Fine-tuning, Knowledge Distillation, Domain Adaptation, Pseudo Labeling, Transfer Learning.I look for opportunities to challenge myself to be a better professional, a mindful person, and an empathetic human being. Other than work, I'm into competitive programming, outdoor sports(mostly Soccer, and Cricket), and traveling!