08/14/2026 updated
100 % available
Professional AI/ML Full Stack Developer
Ketchikan, USA
Only remote
Master of Science in Artificial IntelligenceJavaScriptArtificial IntelligenceAmazon Web ServicesData AnalysisApple IOSApp Store (IOS)Artificial Neural NetworksComputer VisionContinuous IntegrationDjangoFFmpegLabelingSearch Engine OptimizationPython (Programming Language)Mathematics
AI Systems Development
Generative AI, Large Language Models, LangChain, LangSmith, LangGraph, RAG, Pinecone, Redis, STT, TTS, ElevenLabs, AI Avatar, Heygen, MemO, Agentic AI
Deep Learning
A* Search, AI Mathematics, Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Nvidia, Image classification, Transfer Learning, Tensorflow, Pytorch, TFLite, Real-Time Video Analytics
Computer Vision and Robotics
CV pipelines for inspection, Robotics control, Real-time detection, Latency reduction, ROS2, object detection, moderation, and tagging pipelines using Swift + Metal, CoreML and TFLite
React Development
Javascript, Typescript, Hook Functions, Redux, Websockets, webpack
iOS Development
Swift, SwiftUI, UIkit, AVFoundation, Multithreading(GCD), APP Store Deployment, CI/CD for iOS
Next.js Development
SEO, Server Side Rendering, Project Optimization
Backend Development
Python, Django, FastAPI, Node, FFmpeg, GStreamer, Amazon Web Service, Kubernetes, GCP
Video Streaming Systems
WebRTC, Real-Time Monitoring, Alerting Pipelines, RTSP, HLS
Generative AI, Large Language Models, LangChain, LangSmith, LangGraph, RAG, Pinecone, Redis, STT, TTS, ElevenLabs, AI Avatar, Heygen, MemO, Agentic AI
Deep Learning
A* Search, AI Mathematics, Deep Neural Network, Convolutional Neural Network, Recurrent Neural Network, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Nvidia, Image classification, Transfer Learning, Tensorflow, Pytorch, TFLite, Real-Time Video Analytics
Computer Vision and Robotics
CV pipelines for inspection, Robotics control, Real-time detection, Latency reduction, ROS2, object detection, moderation, and tagging pipelines using Swift + Metal, CoreML and TFLite
React Development
Javascript, Typescript, Hook Functions, Redux, Websockets, webpack
iOS Development
Swift, SwiftUI, UIkit, AVFoundation, Multithreading(GCD), APP Store Deployment, CI/CD for iOS
Next.js Development
SEO, Server Side Rendering, Project Optimization
Backend Development
Python, Django, FastAPI, Node, FFmpeg, GStreamer, Amazon Web Service, Kubernetes, GCP
Video Streaming Systems
WebRTC, Real-Time Monitoring, Alerting Pipelines, RTSP, HLS
Project history
Lead AI system development for robotic and automated manufacturing. Design CV pipelines for inspection and robotics control, optimize models on robotic hardware, and create generative-design tools for rapid prototyping. Contributions reduce inference latency, automate workflows, and streamline production, enabling faster and higher-quality manufacturing outcomes.
Spent 1.5 years developing video understanding pipelines for real-time and long-form video applications. Integrated video-embedding models, built scene classification, summarization, and search pipelines, and processed large RTSP/WebRTC streaming datasets. Work addressed the challenge of efficiently analyzing massive video data, helping clients extract meaningful insights quickly.
Worked for more than two years integrating advanced vision AI into iOS apps. Developed real-time object detection, moderation, and tagging pipelines using Swift + Metal, while optimizing on-device inference via CoreML and TFLite. Also built internal tools for video search and analytics, solving performance bottlenecks and enabling fast, accurate visual insights on mobile devices.