Work
A selection of projects where I've applied AI and full-stack engineering to solve real business problems. Each project includes measurable impact metrics.

AI/ML2024
AI-Powered Analytics Dashboard
Real-time data visualization platform with ML-driven insights for enterprise clients. Built predictive models that identify trends 3 weeks ahead of traditional analytics.
Next.jsPythonTensorFlowPostgreSQLRedis
40% faster decision-making
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AI/ML2024
Smart Document Processing
Automated document extraction and classification system using computer vision. Processes 10,000+ documents daily with 98% accuracy across 50+ document types.
ReactFastAPIOpenCVAWSMongoDB
90% reduction in manual work
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AI/ML2023
Conversational AI Assistant
Context-aware chatbot for customer support with natural language understanding. Handles complex multi-turn conversations with 85% resolution rate.
TypeScriptLangChainRedisDockerKubernetes
60% support ticket reduction
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Full Stack2023
E-commerce Platform Rebuild
Complete rebuild of legacy e-commerce system with modern architecture. Implemented headless CMS, optimized checkout flow, and integrated payment systems.
Next.jsStripeContentfulVercelPostgreSQL
2.5x conversion rate increase
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Full Stack2023
Real-time Collaboration Tool
Multiplayer collaborative workspace with live cursors, presence, and conflict resolution. Supports 100+ concurrent users per room with sub-100ms latency.
ReactWebSocketsNode.jsRedisAWS
Used by 50K+ users
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AI/ML2022
Predictive Maintenance System
IoT-connected monitoring system that predicts equipment failures using sensor data and machine learning. Deployed across 200+ industrial sites.
Pythonscikit-learnInfluxDBGrafanaMQTT
70% reduction in downtime
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