Hi, I'm Urva Gandhi, a Computer Science undergraduate at Nirma University. I'm a passionate software engineer who thrives at the intersection of backend architecture and artificial intelligence. My journey involves transforming complex ideas into elegant, production-ready solutions.
Currently, I'm building CoinTrack (Unified financial analytics) and CodeGuardian (AI-powered secure code analysis). I'm deep diving into Data Structures & Algorithms mastery, LLM Application Development & RAG systems, and High-Performance Backend & System Design.
Open to collaborating on real-time financial data pipelines, ML deployment workflows & MLOps, and turning Hackathon prototypes into Production systems. I've solved 270+ DSA problems in Java and completed 4+ major projects.
Developed 'Agent PaperPal', an advanced AI research assistant project. Secured Track Runner-Up out of 400+ teams and 2300+ registrations. Implemented agentic workflows to streamline academic paper analysis, semantic citation mapping, and interactive querying.
Created a Product Lifecycle Management (PLM) solution integrated with Odoo. Won 2nd Runner-Up for demonstrating rapid backend development, ERP integration workflows, and clean database design.
Developed a healthcare analytics platform predicting hospital readmissions (30/60/90 days) and delivering cost + clinical insights. Ranked 1st Place among 140+ competing teams. Designed a Smart Model Loader for instant evaluation of ML models (Logistic Regression, Random Forest, XGBoost, Deep Learning). Developed an interactive Streamlit dashboard.
Participated in Adobe's 'Connecting the Dots' hackathon, qualifying for Round 2. Built an offline PDF Outline Extractor using heuristics on font size, boldness, and layout. Designed a persona-driven document intelligence pipeline with keyword filtering + semantic ranking. Optimized processing to <10s per 50-page PDF.
Participated with innovative AI-driven solutions for real-world problems. Gained experience in rapid prototyping and collaborative development under time constraints.
Minor in Adaptive AI. CGPA: 8.83. Relevant Coursework: Machine Learning, Deep Learning. Active participant in hackathons and coding competitions.
Percentile: 99.28. Focused on Science stream with Mathematics and Computer Science.
Percentile: 96.92. Strong foundation in Mathematics and Science.
Solved 298 DSA problems in Java
Solved 73 problems in Java 21
Solved 27 problems in JAVA
Unified finance dashboard aggregating portfolio data from multiple stock broker APIs (Zerodha, Angel One, etc.) into a single view. Features P&L tracking, live market data, watchlist, and exportable reports.
Built a platform predicting hospital readmissions (30/60/90 days) with Smart Model Loader for instant ML evaluation. Features interactive Streamlit dashboard with visualizations.
Offline PDF analysis engine built for Adobe Hackathon. Features structured outline extraction with hierarchy detection, and persona-driven document intelligence that adapts content for different user roles.
AI-driven multi-language vulnerability detection engine using graph-aware transformers and static analysis. Auto-scans code to identify security flaws, maps to CWE/CVE, and generates explainable remediation suggestions.
