ML Associate
Highlights
Prepared and annotated data for ML models in search, NLP, and computer vision domains.
Collaborated with applied science teams on error analysis and pattern recognition to improve data quality.
Contributed to SOP enhancements, optimized annotation workflows and supported scalable data pipelines.
Graduate Engineer Trainee
Highlights
Specialized in .NET through the Orchard Training, working on real world use cases with C#, ADO.NET, and Web API.
Developed RESTful APIs using ASP.NET Web API, handling CRUD operations efficiently while optimizing database interactions with SQL Server.
Worked with ADO.NET for database connectivity, ensuring clean code practices, debugging, and query optimization to enhance application performance.
Trainee
Highlights
Acquired proficiency in Linux, Data Structures, Algorithms, RDBMS, and Python.
Learned deployment on Azure Static Web Apps, integrated with QnA Maker and Azure Bot Services.
Participated in Agile-based SDLC governance projects, aligning with industry best practices.
Bachelor of Engineering
Computer Science
Grade: 8.86
C++, Java, Python, C#, ASP.NET, JavaScript, SQL, Oracle, MongoDB.
React.js, Node.js, Express, HTML, CSS, Bootstrap, REST API.
Azure, Git, Linux, SDLC, Data structures Algorithms, Object Oriented Programming.
Summary
Designed an efficient parking management system using OOP principles and the Strategy design pattern for dynamic parking strategies based on vehicle type. Utilized the Factory design pattern to allocate parking spots for various vehicle sizes (compact, sedan, truck), improving space utilization by 20%, integrated real-time monitoring and payment systems using REST APIs.
Summary
Developed a sophisticated facial recognition system to automate attendance and enhance security by detecting and and reducing manual entry time by 60%, recording names, photos, and timestamps in an Excel sheet . Potential applications include security systems and automated attendance, improving attendance accuracy by 40%.
Summary
Developed a communication tool for physically challenged individuals, enabling Hinglish text-to-audio conversion for seamless interaction. Designed a user-friendly interface to enhance accessibility. Improved communication effectiveness by 95%, bridging the gap for silent individuals.