Meet the Team

Coursework: Web Technologies, UI/UX Principles, Graphic Design, Human-Computer Interaction, and Digital Media.

Designed a comprehensive fitness tracking mobile app with personalized workout dashboards, progress analytics screens, interactive activity metrics, and frictionless onboarding flows.

Designed marketing visuals, social media posts, stories, banners, and reel thumbnails while maintaining consistent visual identity guidelines.

Coursework: Software Development, Database Management, Computer Networks, Problem Solving, Business Applications, and Product Development.

Developed a marketplace mobile application using FlutterFlow and Firebase, with features for vendor onboarding, product discovery, and marketplace operations. The application was published on Google Play Store.

Built responsive business websites using Gemini, Codex CLI, and AI-assisted development tools. Developed landing pages, product-focused web experiences, and managed content organization, documentation, and user experience enhancements.

Used ChatGPT, Gemini, and AI productivity tools for workflow automation, research, documentation, and content generation. Designed AI-assisted product listing and operational workflows to improve business process scalability.

First-author research publication in IJCSE (Vol. 14, Issue 9, DOI: 10.26438/ijcse.v14i9.7516). Built a hybrid CNN-LSTM detector with hash-based integrity verification, deployed as a real-time web application achieving 95.2% validation accuracy on 84,377 images.

Coursework: Machine Learning, Deep Learning, Natural Language Processing, Python Programming, Data Structures, and Cloud Computing.

Built a 5-agent LangGraph system (planner, budget, local info, transport, writer) with parallel fan-out/fan-in, where three agents run concurrently before merging into one itinerary. Deployed three ways on AWS (serverless, Docker on EC2, load-balanced EC2) with JWT auth via Cognito and async write-then-poll to avoid timeouts.

Built a multimodal, agentic RAG pipeline (FastAPI + LangGraph ReAct agent) letting users upload any PDF and receive cited, page-level answers, with vision-based extraction of charts and diagrams. Engineered per-session document isolation with Qdrant Cloud, deploying full stack as a containerized service.

Coursework: Data Structures, Algorithms, Machine Learning, Database Management Systems, Python Programming, and Statistical Analysis.

Developed a sentiment analysis system using scraped review and social media data to classify customer opinions and sentiments using NLP techniques and supervised classification models.

Engineered a predictive machine learning model to accurately identify fraudulent financial transactions using classification algorithms on imbalanced datasets.

Created a personalized recommendation engine using content-based filtering techniques to suggest movies based on user preferences and feature similarities.

Built a mobile-friendly marketplace platform connecting local clothing vendors with customers featuring dynamic catalogue browsing and relational database integration.

Coursework: Artificial Intelligence, Generative AI Systems, Full-Stack Development, Network Security, Data Structures, and Software Engineering.

Engineered an end-to-end AI-driven contact enrichment pipeline, combining prompt engineering with API integration and automation while optimizing processing performance.

Built an AI-powered personal finance tracker that categorizes expenses and generates spending insights using LLM-based analysis. Designed the data pipeline and UI to help users track budgets and identify saving opportunities in real time.