Portfolio Projects

Key Features:

• Real-time vehicle tracking with map clustering
• Predictive maintenance alerts (85% accuracy)
• Custom metrics: fuel efficiency, engine load, brake wear
• Event-driven microservices architecture
• Time-series data optimization (TimescaleDB)

Architecture:

Event-driven microservices, Redis pub/sub for real-time updates, PostgreSQL with TimescaleDB extension for telemetry data, AWS IoT Core simulation layer.

Full Tech Stack:

Key Features:

• DICOM viewer with AI-assisted ROI detection
• Real-time collaborative annotations (WebRTC)
• HIPAA-compliant data handling architecture
• ML model serving via FastAPI
• Annotation version control

Architecture:

FastAPI microservices, PyTorch model serving with TorchServe, WebRTC for real-time collaboration, encrypted S3 storage with pre-signed URLs, audit logging for compliance.

Full Tech Stack:

Key Features:

• Visual strategy builder (no-code interface)
• C++ compute engine (compiled to WebAssembly)
• Historical data pipeline (Yahoo Finance API)
• Financial metrics: Sharpe ratio, drawdown, win rate
• Strategy comparison dashboard

Architecture:

C++ core logic exposed via WebAssembly for browser execution, Python data pipeline with Pandas/NumPy, React Flow for visual strategy builder, PostgreSQL for strategy storage.

Full Tech Stack:

Key Features:

• <100ms latency for real-time processing
• HoloLens 2 AR client
• Python-based AI defect detection
• Azure cloud infrastructure
• React management portal

Architecture:

HoloLens 2 client with spatial mapping, Azure Functions for serverless backend, Python computer vision models, WebRTC for video streaming, CosmosDB for defect records, SignalR for real-time updates.

Full Tech Stack:

Key Features:

• Real-time build pipeline visualization
• Distributed job queue management
• Failure pattern detection & auto-retry
• Resource utilization tracking (CPU/Memory/Disk)
• Integration with Jenkins/GitLab CI

Architecture:

Node.js worker pool for job simulation, Redis for job queue, WebSocket real-time updates, Docker containerization for distributed execution, Prometheus metrics collection.

Full Tech Stack:

Key Features:

• Automated vulnerability detection (reentrancy, overflow, gas optimization)
• Security score calculation with risk assessment
• Detailed audit report generation (PDF export)
• Historical vulnerability database
• Integration with popular Solidity testing frameworks

Architecture:

Python backend orchestrating multiple analysis tools, AWS Lambda for parallel contract analysis, PostgreSQL for vulnerability database, React visualization of code issues.

Full Tech Stack:

Key Features:

• Multi-tenancy with schema-per-tenant isolation
• Complete RBAC system with custom roles
• Stripe subscription management + webhooks
• Comprehensive audit logging
• Tenant-specific data encryption

Architecture:

PostgreSQL with schema-per-tenant isolation, Redis for session management, .NET Core Identity for auth, webhook processing for payment events, Kubernetes deployment with per-tenant resource limits.

Full Tech Stack:

Key Features:

• Real-time vehicle telemetry (speed, RPM, gear, yaw/pitch/roll)
• Live GPS tracking (parked/moving status)
• Vehicle health monitoring (CEL, ABS, oil, coolant)
• Custom digital gauge cluster with AI voice commands
• CAN bus integration for vehicle control (AC, windows)
• 3D vehicle visualization (Three.js embedded console)
• Tiered subscription access management
• IoT device provisioning and management

Architecture:

IoT sensors with cellular connectivity, CAN bus protocol integration, cloud backend for telemetry storage, Three.js 3D visualization, subscription management system, real-time data streaming.

Full Tech Stack:

Key Features:

• Real-time multi-user editing with cursor positions
• Conflict-free synchronization (Operational Transformation)
• Syntax highlighting for 20+ languages
• Sandboxed code execution (Docker containers)
• Integrated chat + voice communication

Architecture:

Node.js server handling OT operations, WebRTC for peer-to-peer communication, Monaco editor integration, Docker-based code execution sandboxes with resource limits, WebSocket real-time sync.

Full Tech Stack:

Key Features:

• Real-time 3D facility visualization (Three.js)
• Multi-sensor support (temperature, pressure, vibration, humidity)
• Anomaly detection with ML models
• Predictive maintenance alerts
• MQTT protocol for low-bandwidth communication

Architecture:

C++ edge agents with MQTT pub/sub, Python anomaly detection models, InfluxDB time-series storage, Node.js gateway for protocol translation, Three.js 3D rendering of facility state.

Full Tech Stack:

Key Features:

• Multi-building design with drag-merge functionality
• Real-time 3D visualization with WebGL optimization
• Comprehensive customization (openings, lean-tos, roof types, colors)
• Smart beam structure generation and merging
• Auth0 authentication with AWS DynamoDB storage
• Environment and time-of-day visualization
• JSON-based building configuration export/import
• BOM generation for procurement

Architecture:

S3-hosted static WebGL build, DynamoDB for building data persistence, Auth0 for authentication, custom WebGL shaders for memory optimization, intelligent LOD system for performance.

Full Tech Stack:

Key Features:

• Natural language to SQL conversion (90%+ accuracy)
• Query execution with result visualization
• Query optimization suggestions
• Index recommendations based on query patterns
• Schema understanding and relationship inference

Architecture:

Claude API integration via LangChain, FastAPI backend for query processing, PostgreSQL for sample databases, React data grid for results, query execution plan visualization.

Full Tech Stack:

Key Features:

• Multi-drone simulation (50+ agents)
• Pathfinding algorithms: A*, RRT, Dynamic Window Approach
• Collision avoidance with velocity obstacles
• Task allocation optimization
• Real-time 3D visualization with physics

Architecture:

C++ physics engine compiled to WebAssembly, React UI with Three.js 3D rendering, multi-threading for parallel agent calculations, spatial partitioning for collision detection.

Full Tech Stack:

Key Features:

• AI tooth segmentation (15-second processing)
• Automatic bracket placement by FDI index
• Intelligent bracket base curvature for force distribution
• Tooth rotation simulation (predictive view)
• Multi-stage support jig generation (3-4 teeth per jig)
• Boolean operations for precise jig-tooth fitting
• STL export for 3D printing (SLA, dental resin)
• Orthographic views and occlusal contact visualization

Architecture:

S3-hosted static WebGL application, external AI segmentation API (PyTorch-based, GPU server), AWS Lambda for serverless processing, procedural jig mesh generation with spline algorithms, manifold mesh Boolean operations.

Full Tech Stack:

Key Features:

• Shader-based rendering (7M+ bricks, zero lag)
• Compute shader + single mesh system for performance
• Dual view rendering (floor plan + facade)
• Dynamic motion joints and cutout integration
• Pitch cutout support with proper brick disruption
• Real-time BOM generation (whole bricks, cuts, layers)
• UIToolkit integration with hierarchy/inspector
• Save/load design with integrity preservation

Architecture:

Compute shader-based brick generation, procedural mesh system, masonry rule engine, real-time BOM calculator, Azure-hosted WebGL build, file serialization for design persistence.

Full Tech Stack: