Devansh Modi

Highly analytical Computer Science graduate currently pursuing an MSc in Artificial Intelligence at Brunel University London (Placement Year Included). Strong foundation in software engineering, algorithms, microservices, and distributed network architectures. Proficient across Python, Java, C++, and enterprise data-engineering paradigms, with a proven capability to design, optimize, and deploy heavy algorithmic workloads, real-time threat detection models, and high-throughput production infrastructure tailored for high-tech, financial technology, and low-latency trading environments.

Intelligent Cybersecurity Threat Intelligence System - InfraGuard AI An AI-driven cybersecurity analytics platform designed to ingest high-frequency simulated network logs, isolate suspicious behavior profiles, and generate actionable indicators via live analytics matrices.

• Core Technologies: Python, Machine Learning, Pandas, Scikit-learn, Flask, MongoDB, Data Analytics, Power BI Concept
• Key Skills Demonstrated: Cybersecurity Analytics, Anomaly Detection, Machine Learning, Data Engineering, Backend Development, Security Monitoring
• Problem Solved: Overcomes the vulnerability of modern enterprise systems where massive security log volume obfuscates zero-day patterns from standard manual filters
• Business/Technical Impact: Enables proactive hazard mapping, eliminates processing bottleneck, and vastly optimizes system threat categorization and mitigation response times

AI-Driven Smart Parking System - Smart Mobility Solutions A production-tier intelligent mobility application featuring concurrent real-time state synchronization, automated secure bookings, and historical trend forecasting.

• Core Technologies: Python, Flask, React, MongoDB, JWT Authentication, Machine Learning Forecasting, REST APIs
• Key Skills Demonstrated: Full-Stack Development, API Design, Database Systems, Predictive Analytics, System Design, Concurrency Control
• Problem Solved: Addresses critical urban asset allocation mismatches and performance degradation from race conditions under high transactional data loads
• Business/Technical Impact: Optimized infrastructure utilization parameters, minimized local wait latency metrics, and established race-condition-free real-time booking integrity

Tax & Financial Analytics Automation System - Financial Services An automated enterprise financial pipeline engineered to streamline corporate auditing, automate programmatic multi-tier VAT logic, and map historical trends.

• Core Technologies: Python, Pandas, Power BI, ETL Pipelines, Structured Query Language (SQL) Concepts
• Key Skills Demonstrated: Financial Data Analysis, Tax Logic Modelling, ETL Design, Business Intelligence, Enterprise Data Validation
• Problem Solved: Eliminates human error, regulatory risk, and heavy processing latency intrinsic to manual corporate ledger and accounting pipelines
• Business/Technical Impact: Guaranteed 100% calculation structural alignment, turned disjointed logs into audit-ready tables, and slashed data consolidation overhead

UrbanSight AI – Smart City Intelligence Platform - Urban Development An AI-driven metropolitan planning platform analyzing high-dimensional simulated geospatial and logistical movement charts to extract systemic bottlenecks.

• Core Technologies: Python, Machine Learning, Forecasting Models, Analytical Visualization Packages, Data Engineering
• Key Skills Demonstrated: Predictive Analytics, Data Science, Urban Data Modelling, Intelligent Systems Architecture
• Problem Solved: Solves the structural lack of proactive decision-support tools in urban transit systems, which typically suffer from reactive bottleneck resolution
• Business/Technical Impact: Delivered precise infrastructure asset deployment strategies and accurately predicted simulated structural bottlenecks

HealthPredict AI – Preventive Healthcare Analytics System - Healthcare Analytics An advanced analytics pipeline utilizing robust mathematical feature selection to isolate underlying patient risk anomalies within complex datasets.

• Core Technologies: Python, Machine Learning, Scikit-learn, Feature Engineering, Statistical Analysis, Predictive Classification
• Key Skills Demonstrated: Healthcare Analytics, ML Modelling, Advanced Preprocessing, Risk Prediction Systems, Advanced Matrix Analytics
• Problem Solved: Addresses late-stage health risk detection caused by the inability of traditional analytical frameworks to find subtle non-linear indicators
• Business/Technical Impact: Significantly increased risk classification performance metrics and provided highly reliable, interpretable vectors for clinical decision tools

AI Knowledge Assistant (Enterprise AI System) - Enterprise Systems A high-performance semantic search and knowledge retrieval system designed to clean, index, and compress large-scale textual unstructured corporate data.

• Core Technologies: Natural Language Processing (NLP), Python, Vector/Conceptual Embeddings Approach, Information Retrieval Systems
• Key Skills Demonstrated: NLP, Knowledge Management Systems, Intelligent Systems Architecture, Advanced Information Retrieval
• Problem Solved: Mitigates institutional knowledge silos and cross-departmental documentation fragmentation across distributed directories
• Business/Technical Impact: Slashed internal lookup overhead, unlocked seamless text query resolution, and dramatically optimized operational workspace search speeds

AI Conversational System - Conversational AI A robust conversational pipeline combining declarative routing logic with statistical language models to ensure highly available, fault-tolerant interactions.

• Core Technologies: Python, NLP Foundations, Core Exception/Logging Architectures, Test Workflows
• Key Skills Demonstrated: Chatbot Design, Natural Language Processing, System Robustness, Programmatic Logging & Debugging
• Problem Solved: Prevents state corruption, unhandled runtime faults, and conversational dead-ends common in unlogged dialogue state configurations
• Business/Technical Impact: Ensured 100% operational uptime via clean fallback trees and established structural trace logs for rapid system performance iteration

MSc - Artificial Intelligence - Brunel University London (2025 - 2027)

BSc - Computer Science - Brunel University London (2023 - 2025)