Professional Journey
Companies I've worked with and the roles I've grown through.
Clinisys Solutions Limited
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.
Associate Software Engineer
07/2023 - Present- Owned architecture for 20+ backend APIs using ASP.NET Core and Oracle SQL, optimizing end-to-end CRUD operations through index design, join path optimization, and SQL functions encapsulating read/write logic, resulting in ~30% reduction in query latency.
- Architected CQRS-based separation of read and write paths across backend services, decoupling SQL data access from business rules to simplify changes and support scalable development in a regulated healthcare system.
- Introduced an AI-powered internal code review agent adopted by the team to analyze standards, performance risks, and change impact, reducing manual effort by 50% and improving pull request quality.
- Streamlined client-server interaction by refining API contracts and introducing query-level caching with React Query, reducing redundant requests by 40% and improving response consistency across data-heavy workflows.
- Enabled backend-driven workflows by delivering 10+ form validations with React Hook Form and TypeScript, cutting submission errors by 20% without coupling UI to domain logic.
Achievements
- Pixel Team Award
Software Engineer Intern
01/2023 - 06/2023- 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 Intelligence Private Limited
AI-focused edtech company delivering industry-oriented training and hands-on projects in data science, machine learning, and deep learning.
Data Science Intern
06/2022 - 10/2022- Analyzed 8,500+ records to develop data-driven sales optimization strategies for Big Mart, identifying 30 key features from a 128-column dataset.
- Built predictive models using 5+ regression and classification algorithms with Python and scikit-learn, achieving high-accuracy sales forecasting.
Technical Expertise
A showcase of my technical proficiency across various domains of software development.
Frontend Development
Education
My academic background and qualifications.
Bachelor of Technology in Computer Science
Focused on core computer science concepts including Data Structures, Algorithms, Operating Systems, and Database Management Systems. Actively participated in coding competitions and technical fests.
Higher Secondary (Science)
Specialized in Physics, Chemistry, and Mathematics. Developed a strong analytical foundation and problem-solving skills.
Featured Projects
Innovative solutions built with cutting-edge technology to solve real-world problems.
Research & Publications
My contributions to the academic and scientific community.
Explainable Artificial Intelligence (XAI) Based Analysis of Stress Among Tech Workers Amidst COVID-19 Pandemic
Published in: Springer Nature - Advances in Intelligent Systems and Computing
A comprehensive study utilizing Machine Learning and XAI techniques to understand the physiological and psychological impact of the pandemic on tech industry professionals.