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payalmishra1809/README.md

Payal Mishra

AI/ML Engineer • LLM Developer • Computer Science Student • Research Enthusiast

Building intelligent systems at the intersection of Artificial Intelligence, Machine Learning, and Software Engineering.

PortfolioLinkedInGitHub


About Me

I am a Computer Science Engineering student focused on Artificial Intelligence, Machine Learning, Large Language Models, and scalable software systems.

My interests span Agentic AI, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), NLP, Data Science, and Systems Engineering. I enjoy transforming research concepts into production-ready solutions and continuously exploring emerging technologies in AI.


Current Focus

  • Large Language Models (LLMs)
  • Agentic AI & Multi-Agent Systems
  • Retrieval-Augmented Generation (RAG)
  • Machine Learning Engineering
  • AI Research
  • Scalable Backend Systems

Tech Stack

Languages

Python • Java • JavaScript • SQL • Bash

AI / Machine Learning

Llama 3 • Mistral • Hugging Face • LangChain
Scikit-Learn • TensorFlow Lite • OpenCV
FAISS • LoRA • QLoRA

Data Science

Pandas • NumPy • Statistical Modeling
Feature Engineering • EDA • Tableau

Systems & Infrastructure

Linux • Redis • Git • GitHub
REST APIs • WebSockets

Web Development

HTML • CSS • JavaScript • WordPress

Featured Projects

Enterprise Multimodal Multi-Agent RAG Workspace

Designed a document intelligence platform combining OCR, Vision LLMs, dense retrieval, and agent orchestration. Built a scalable architecture capable of processing complex enterprise documents through parallel AI workflows.

High-Frequency Trading Alpha Generator

Developed a low-latency trading simulation system capable of processing live market data streams with millisecond-level execution pipelines, statistical alpha generation, and real-time P&L tracking.

Custom LLM Fine-Tuning for Hinglish NLP

Curated and processed a multilingual dataset containing 15,000+ samples and fine-tuned Llama-3 using QLoRA techniques for improved intent classification performance.

Credit Card Fraud Detection System

Built an end-to-end fraud detection pipeline achieving 98%+ AUC through advanced preprocessing, class imbalance handling, and model optimization techniques.


Experience

Data Science & Operations Leadership Intern

  • Led multiple machine learning project teams
  • Defined delivery standards and sprint workflows
  • Standardized analytics pipelines across large intern cohorts
  • Maintained 100% on-time project delivery

Data Analyst Intern

  • Performed data analysis using Python and SQL
  • Generated actionable business insights from production datasets
  • Supported data-driven decision making

Freelance Web Developer

  • Designed and deployed commercial websites
  • Managed end-to-end development lifecycle
  • Provided ongoing maintenance and optimization

Certifications

  • Google Advanced Data Analytics Professional Certificate
  • Google UX Design Professional Certificate
  • Google Cybersecurity Professional Certificate
  • Google AI Essentials
  • Meta Programming with JavaScript
  • Deloitte Data Analytics Job Simulation
  • Forage Data Science Job Simulation
  • Microsoft Office Specialist (Excel)

Research Interests

  • Large Language Models
  • Agentic AI
  • Multi-Agent Systems
  • Natural Language Processing
  • Retrieval-Augmented Generation
  • Efficient Fine-Tuning Methods
  • Applied Machine Learning
  • Intelligent Information Systems

GitHub Statistics

AI Engineering • Machine Learning • Research
Open Source • System Design • Problem Solving

Focused on building scalable AI systems, contributing to impactful research, and advancing intelligent technologies through engineering and innovation.

Pinned Loading

  1. CUSTOM-LLM-FINE-TUNING-FOR-HINGLISH-NLP CUSTOM-LLM-FINE-TUNING-FOR-HINGLISH-NLP Public

  2. ENTERPRISE-MULTIMODAL-MULTI-AGENT-RAG-WORKSPACE ENTERPRISE-MULTIMODAL-MULTI-AGENT-RAG-WORKSPACE Public

  3. FACIAL-ATTENDANCE-SYSTEM FACIAL-ATTENDANCE-SYSTEM Public

    Automated attendance using facial recognition. Captures faces via webcam, matches against database, and logs to CSV/Firebase. Built for educational/workplace use with Python, OpenCV, and Flask

    Python

  4. HFT-ALPHA-GENERATOR-ORDER-PIPELINE HFT-ALPHA-GENERATOR-ORDER-PIPELINE Public