* Proven expertise in designing and deploying scalable applications using ASP.NET Core MVC, React, and Django to enhance healthcare efficiency.
* Demo... Read More
Skills
React
ASP.NET
SQL
Experiences
3 years 1 month
Clinisys
Jul 2023 - Current
Associate Software Engineer
Leading B2B healthcare software provider specializing in laboratory information systems and clinical data integration to streamline healthcare processes with 3,000+ customers in 34 countries.
- Engineered scalable RESTful APIs and web applications using ASP.NET Core MVC, CQRS, and DDD architectures, optimizing data processing and checked cross-browser compatibility across multiple products.
- Collaborated with cross-functional teams to develop responsive UIs using React and Material-UI, reducing user interaction lag by 15%.
- Spearheaded the development of micro-frontend architecture to enable independent feature development and streamlined deployment processes.
- Automated testing workflows by scripting API and database connectivity in SpecFlow, cutting manual testing effort by 50%.
- Participated in Agile workflows, including daily scrums, sprint planning, and retrospectives, fostering effective teamwork.
- Technologies: C#, ASP.NET Core MVC, REST API, React, Material-UI, SQL, Entity Framework, Jest, XUnit, SpecFlow
Clinisys
Jan 2023 - Jul 2023
Internship and Training
* Automated Winpath desktop application to entry 4,00,000 data to the application for performance testing.
* Implemented Restful API using C# and Fetch public API to provide relevant data to the automation script.
* Completed training on HTML, CSS, JavaScript, C#, and SQL while providing daily updates to mentors.
* Self-learned advanced technologies like React, ASP.NET Core MVC, REST APIs, Entity Framework, JWT tokens, OAuth2, and GraphQL.
iNeuron.ai
Jun 2022 - Oct 2022
Internship
iNeuron.ai is a platform offering comprehensive AI and Machine Learning training, providing real-world experience through practical projects as part of its internship program.
* Developed a detailed report on strategies to enhance Big Mart's sales after thorough data cleaning and analysis.
* Conducted feature selection to identify 30 key features from a dataset of 128 columns, improving model efficiency.
* Applied feature scaling techniques, including standardization (for normally distributed features) and normalization, to optimize data preprocessing.
* Performed advanced text cleaning by converting text to lowercase, decontracting words, and removing stop words and punctuation.
* Encoded cleaned text data into machine-readable numeric formats for improved model performance.
* Trained and evaluated data using various regression and classification algorithms to achieve accurate predictions.
Education
Bengal Institute of Technology
Aug 2019 - Aug 2023
B.Tech
Computer Science Engineering
Portfolio
No Portfolio added yet
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