Hello, I am Yugal

I am

Currently based in Los Angeles, CA, and pursuing a Master of Science in Computer Science at the University of Southern California, I am passionate about software development and creating impactful, innovative technological solutions. With a strong foundation in machine learning, deep learning, and full-stack development, I am constantly learning, coding, and striving to push the boundaries of technology to build meaningful experiences.

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about-me

About Me

I am a passionate coder who thrives on transforming ideas into reality through software. With a deep commitment to innovation, I explore the limitless potential of technology to build impactful solutions. My expertise spans full-stack development and artificial intelligence, with a strong foundation in JavaScript, React, Tailwind, Node.js, Express.js, MongoDB, Web3, Ethereum, Ethers.js, Solidity, and Python.

In the AI space, I have worked extensively with machine learning, deep learning, and Generative AI, leveraging frameworks like TensorFlow, PyTorch, Langchain, RAGs, Hugging Face to build intelligent systems. My research and projects involve AI-driven automation, generative models, and data-driven solutions, particularly in healthcare and beyond.

I thrive on tackling complex challenges, continuously expanding my knowledge, and pushing the boundaries of what’s possible. Whether it’s crafting seamless user experiences, optimizing AI models, or exploring the latest advancements in Gen AI, I am always eager to create, learn, and innovate.

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Experience

  • experience
    Software Engineer Intern
    Rider Levett Bucknall Ltd
    May 2025 - Aug 2025
    I developed automation tools to streamline construction document analysis and cost estimation workflows, cutting 5+ hours of manual effort per project. This included automated PDF processing, an intelligent revision tracking system for 1,800+ page specifications, and performance optimization that reduced processing time by 80% (40 minutes to 8 minutes). I deployed these tools on Microsoft Azure with FastAPI, eliminating manual bottlenecks. In parallel, I am building an end-to-end ML pipeline using a Local Classifier per Parent Node (LCPN) to classify scope items into CSI codes, improving F1 accuracy from 84.19% to 92.36% and targeting a 6+ hour reduction per cost estimate. Additionally, I developed a lightweight Python wrapper for parsing PDFs and Excel files, saving 3+ hours in document preparation.
    Skills:
    Python
    LLMs
    Machine Learning
    AuzreOpenAI
    Microsoft Azure
    Hierarchical Classification
    Local Classifier per Parent Node (LCPN)
    FastAPI
  • experience
    Graduate Student Researcher [Paper accepted at EMNLP Findings 2025 (acceptace rate: 17%)]
    University of Southern California
    Oct 2024 - May 2025
    Worked on CulturalPersonas, a research project focused on developing a culturally grounded benchmark for evaluating personality representations in large language models (LLMs). This work addresses the Western bias in traditional personality assessments by leveraging Retrieval-Augmented Generation (RAG) and human validation to create scenario-based, culture-specific evaluations across diverse global contexts. Through this research, I aim to improve AI fairness, cultural adaptability, and personalized AI interactions for a more inclusive and representative AI landscape.
    Skills:
    Python
    Generative AI
    LLM
    RAG
    Langchain
    OpenAI API
    FAISS
  • experience
    Research Intern
    Vishwakarma Institute of Information Technology
    Sep 2023 - Feb 2024
    Worked on the applications of Deep Learning to auto-design Patient Specific Implants (PSI) using Generative Adversarial Networks (GANs) on MUG500+(B) Dataset. Under the guidance of Dr. Parikshit Mahalle.
    Skills:
    Python
    Keras
    TensorFlow
    NRRD
    Computer Vision
    Neural Networks
    ANTs Image Registration
    Data Preprocessing
    Jupyter Notebook
  • experience
    Software Developer Intern
    Pointsix Labs
    Sep 2022 - May 2023
    At Pointsix, I developed a React.js-based NFT marketplace, improving user experience and boosting daily active users by 25%. I proposed and implemented an incentivized reward system, attracting 20,000+ users in the first month. I also designed and optimized smart contracts for NFT transactions, reducing gas fees, and built REST APIs that improved response times by 40%. Collaborating with stakeholders, I helped drive user engagement and platform growth.
    Skills:
    ReactJS
    Zustand
    TailwindCSS
    NodeJs
    ExpressJS
    MongoDB
    JavaScript
    Solidity
    ethers.js
    Blockchain
    Hardhat

Projects

Electric Stadium
YouTube Video Summarizer
Ecommerce App
New York Taxi Fare prediction
Potato Disease Classification
Medical AI - Dataset publication
BookMyTour
Cryptopedia

Want to get in contact with me?

I am currently looking for new opportunities, my inbox is always open. Feel free to reach out to me directly through the below mentioned social media handles for any inquiries, collaborations, or just to say hello! I'm always eager to connect with fellow creatives, clients, and potential collaborators. Whether you have a question or just want to say Hi, I'll try my best to get back to you!

~Yugal/Khanter~

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