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Resume

Education

  1. University of Arizona

    Aug 2025 — May 2027

    Master of Science in Data Science
    Specialization in Machine Learning

  2. Shiv Nadar University

    Aug 2020 — May 2024

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

Experience

  1. HCLTech · Software Engineer

    Generative AI Development Team

    July 2024 — July 2025
    • 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.
  2. HCLTech · Academic Trainee

    Jan 2024 — July 2024
    • 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.
  3. Carrier · Web Developer Intern

    May 2023 — July 2023
    • 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.
  4. PricewaterhouseCoopers · Technical Intern

    May 2022 — Sep 2022
    • 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.

Projects

  1. 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.
  2. 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.
  3. 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.

Tech Stack

  1. Languages

    C++, Python, Java, SQL, Go

  2. AI/ML Tools & Frameworks

    PyTorch, TensorFlow, OpenCV, dlib, EasyOCR, GitHub Copilot

  3. Web Development

    C#, HTML, Tailwind CSS, Bootstrap, React.js, Node.js, jQuery, jQWidgets

  4. Databases & OS

    PostgreSQL, MySQL, MongoDB, Neo4j, Windows, MacOS, Linux

Publications

  1. Analyzing the Efficacy of Large Language Models: A Comparative Study

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