Resume

University of Arizona

Master of Science in Data Science
Specialization in Machine Learning

Shiv Nadar University

Bachelor of Technology in Computer Science
Two times Dean's List Awardee
Specialization in Data Science and Big Data Analytics

HCLTech · Software Engineer

Generative AI Development Team

• Developed Generative AI solutions for the client.
• Integrated custom copilot with SharePoint for contextual search across 4,000+ knowledge files.
• Reduced daily technical support tickets from about 2,300 to 1,700 and resolution time from 105 min to 25 min.
• Built safety audit sites integrated with ServiceNow and custom copilots using ITSM copilot to manage employee data.

HCLTech · Academic Trainee

• Developed and deployed Sales KPP web application for tracking sales targets and achievements.
• WebApp tracked and analysed relevant performance metrics, such as sales revenue and annual deals closure.
• Used React.js for frontend, C# for SQL DB integration, Node.js for auxiliary server-side scripting, and MS SQL Server as Backend DB.

Carrier · Web Developer Intern

• Designed and developed Account Payable Management System and Ticket Tracker web applications using HTML, CSS, JavaScript, jQuery, jQWidgets.
• Integrated chatbot automating FAQs, boosting user engagement by 35% and cutting support queries from about 450 to 280 per week in Q1.

PricewaterhouseCoopers · Technical Intern

• Acquired practical experience in Golang, Python, Neo4j and REST API models.
• Implemented methods to extract raw data from a CNCF, built a Graph Database Model, and improved data retrieval speed and enhanced system scalability to manage 1000+ employee records.

FaceForge Attendance System

Python, HTML, CSS, React, Tailwind CSS, PostgreSQL

• Developed the attendance system using Python and OpenCV for educational and corporate settings.
• Used dlib to create facial templates for recognition and integrated a proxy detector using object detection.
• Developed the UI using React and Tailwind CSS; maintained records on PostgreSQL.

Self-Correction for Human Parsing Model

Python, Git

• Compared the SCHP model with other single-person human parsing state-of-the-art methods.
• Evaluated on benchmarks: Look into Person (LIP), Active Template Regression, and Pascal Part.
• Achieved 84.7% mIoU on LIP dataset, 2.3% higher than the original SCHP paper result.

ChatGPT Plagiarism Detector

Python, EasyOCR, APIs

• Developed plagiarism detection tool using ChatGPT API & paraphrasing API.
• Implemented cosine similarity with vector space model to detect paraphrased text.
• Performed OCR with EasyOCR; tested on 30 docs with 93% accuracy.

International Conference on Database and Expert Systems Applications (DEXA) 2024, Naples, Italy