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rehan_ali53

Rehan Ali

@rehan_ali53

Full Stack AI Engineer

Finlandia
Inglese, Finlandese, Tedesco, Francese, Urdu
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I’m a Full Stack AI Engineer with 4+ years' experience in frontend/backend development, test automation, machine learning, and generative AI. I’ve built Python backends with FastAPI, async programming, REST APIs, CI/CD, Docker, and created React frontends for LLM apps, routing systems, and dashboards. My work includes GenAI solutions—RAG pipelines, chatbots, AI agents, and knowledge assistants, using LangChain, LlamaIndex, CrewAI, and MCP. I’ve implemented deep learning and vision models with CNNs, YOLOv8, OpenCV, and TensorFlow.js for real-time emotion, accident, and anomaly detection.... Continua a leggere

Competenze

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rehan_ali53
Rehan Ali
offline • 

Consulta i miei servizi

Scripting
I will help with python coding and ai automation related tasks
A partire da35 USD / progettoMaggiori dettagli
Deep learning
I will help with machine learning, deep learning, and ai models
A partire da90 USD / progettoMaggiori dettagli

Esperienza lavorativa

NinjaLABO

AI Engineer

NinjaLABO • Full time

Jun 2025 - Nov 2025 • 5 mos

AI-Powered Sustainable Eco-Routing Platform (RecoTech) • Developed an eco-routing web service where users ask natural-language questions about routes and events, and an OpenAI-based LLM backend interprets the request and queries the HSL API as structured data. • Built self-service analytics–style interface that combines user preferences (for example, transport mode) with HSL route data so users can explore alternative options and trade-offs through an intuitive React UI. • Implemented and deployed production services with Node.js, React, and Docker on Railway, adding unit, integration, and load tests (simulating ~500 concurrent users) to ensure reliability and performance of the LLM backend and routing dashboards used by non-technical stakeholders Developed and Deployed AI-Powered Pediatric Therapeutic Gamification System (KauKoCare). • Built an AI-powered pediatric therapeutic assistant (KauKoCare) using OpenAI API and ChatGPT function calling to guide and motivate children during exercises. • Designed prompts and tools for reliable LLM outputs and integrated voice activation (custom wake word + Google Speech-to-Text) into the application. • Developed real-time pose-matching using MoveNet and TensorFlow.js and added visual/audio rewards to improve engagement.