Meghna Malasi

Designed and integrated a GraphRAG-based memory retrieval system into Security Copilot, enhancing contextual awareness for large language models.

• Designed and integrated a GraphRAG-based memory retrieval system into Security Copilot, significantly enhancing contextual awareness for large language models.
• Refactored the data pipeline to improve storage, retrieval, and enrichment of feedback using a knowledge graph, enabling multi-hop reasoning and boosting system efficiency.

Instructed students on MERN Stack development, provided doubt clarification, and guided project creation for the company.

• Delivered comprehensive instruction on MERN Stack development, covering key topics and fostering practical application of skills for students.
• Provided in-depth doubt clearing and guided students through relevant project development, enhancing their learning experience and practical capabilities.

Conducted research on tumor cellularity using advanced UNet models and Enhanced Multiclass Segmentation techniques under Professor Preeti Bansal.

• Solved the PAIP challenge by applying advanced UNet models and Enhanced Multiclass Segmentation techniques to accurately calculate tumor cellularity in combined tumor and non-tumor masks.
• Conducted in-depth research under Professor Preeti Bansal, contributing to novel methodologies in medical image analysis and machine learning applications.

Developed the company website and managed planning and funding activities for a startup as a frontend developer.

• Developed the foundational company website for ArcNetLabs, establishing the startup's online presence and user interface.
• Contributed to critical planning and funding activities, supporting the strategic growth and operational setup of the early-stage venture.

Developed the IEEE NSUT website with a team of 6 members and organized hackathons and speaker sessions.

• Led a team of 6 to develop the official IEEE NSUT website, significantly improving the chapter's digital outreach and member engagement.
• Organized and executed successful hackathons and speaker sessions, fostering a vibrant technical community and knowledge exchange.

Organized speaker sessions on Blockchain, Web3, and the future of the gaming industry in NSUT.

• Orchestrated impactful speaker sessions on Blockchain, Web3, and the future of the gaming industry, educating peers on emerging technologies.
• Facilitated community engagement and knowledge dissemination within the Web3 ecosystem at NSUT.

A decentralized crowdfunding platform that allows users to create their own campaigns and fund existing campaigns.

Developed an e-commerce website designed to provide a seamless shopping experience to users with a smooth payment gateway.

A Web3-focused company portal tackling social media's privacy and censorship issues.

Achieved 3rd prize out of 350+ teams for a blockchain and ML integrated Financial Fraud detection system.

Secured 5th prize out of 205 teams nationwide for a blockchain and ML integrated Financial Fraud detection system.

Achieved a rank of 1830/30797 for solving 950+ questions on Leetcode, demonstrating strong algorithmic skills.

Selected among the top 150 contestants out of 5000+ applicants in the ICPC AlgoQueen Contest.

Won a cash prize of 1 lac by developing an IT-system log analyzer using Blockchain and ML, solving problem ID-1408 with Team AlgoAllies.

Awarded second position for academic excellence in the CBSE Examination in 2022.