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atreyi1405/README.md

Hi there ๐Ÿ‘‹

I'm Atreyi Srivastava (she/her), a recent Software Engineering graduate from McGill University, Canada.

  • ๐Ÿ’ก Iโ€™m passionate about creating intuitive, data-driven solutions that enhance user experiences.
  • ๐Ÿง  My expertise spans software development, cybersecurity, data analytics, and AI research.
  • ๐ŸŒŸ I have been Certified In Cybersecurity by ISC2
  • ๐ŸŒ Iโ€™m experienced with Agile methodologies and have a strong track record of delivering high-impact solutions in diverse, collaborative teams.
  • โœ‰๏ธ Reach me at atreyi.srivastava@mail.mcgill.ca or connect with me on LinkedIn.
  • โšก Fun fact: I enjoy applying AI to classic games and healthcare!

Featured Projects

๐Ÿฅ AI Digital Nurse Avatar (ADiNA) โ€” Project Lead, Developer

Led a team to build a conversational AI for automated triage and patient interactions, in collaboration with the Shared Reality Lab. Applied speech synthesis, prompt engineering, and AI-driven insights to improve healthcare accessibility.

๐ŸŽฎ AI Othello Player โ€” Developer

Developed an AI game agent using Minimax, Alpha-Beta Pruning, and Monte Carlo Tree Search, reaching 100% win-rate with optimised decision-making strategies, reducing execution time to ~1.9 seconds per turn.

๐Ÿ’ธ AP Transaction Monitor Dashboard โ€” Developer

(Python, Django, REST Framework)
Created a transaction dashboard for invoice processing. Designed data models and built REST API endpoints to streamline accounts payable operations.


Skills

Languages & Frameworks: Java, Python, C#, Kotlin, Unity, Angular, React, NodeJS
Cloud & Tools: Azure, AWS, Docker, Git, JIRA, Kanban, Trello
Data & AI: SQL, MongoDB, PostgreSQL, Power BI, Tableau, AI/ML


๐Ÿ’ฌ Letโ€™s connect!

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  1. AI-Othello-Player AI-Othello-Player Public

    AI-powered Othello (Reversi) player, implemented using various algorithms including Greedy, Minimax, Alpha-Beta Pruning, and Monte Carlo Tree Search (MCTS). The AI was optimized to achieve a 100% wโ€ฆ

    Python

  2. lungcancer_ml lungcancer_ml Public

    In Progress: Predicts how likely someone is to develop Lung Cancer based on a number of factors such as age, gender, alcohol use, genetic risk and more.

    Python

  3. AP_Monitor_Dashboard AP_Monitor_Dashboard Public

    The AP Transaction Monitor Dashboard is a Django-based web app built to help Accounts Payable teams identify suspicious transactions, prevent duplicate invoices, and streamline financial controls.

    HTML

  4. frontend-project frontend-project Public

    This site is created using AngularJS for a service providing software. Alongside development, special emphasis was given to the SEO strategies and extensive customer behaviour analysis was performeโ€ฆ

    HTML 1