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dev_niles

Devin Niles

@dev_niles

Your Expert in ai nsfw adult chatbot website, ai saas website, nsfw image gen

Kenya
English, Arabic, Russian, French
About me
Hi, I'm Dev Niles! A seasoned Tech Innovator with over 8 years of experience, I specialize in developing cutting-edge e-commerce platforms and AI-driven websites that redefine user experiences. My expertise spans creative design, advanced coding, and the use of AI to build intelligent, scalable, and visually stunning web solutions. I've collaborated with top-tier tech companies, crafting solutions that blend artistry with technology to deliver exceptional results. Now, I’m bringing my skills exclusively to Fiverr to help you transform your ideas into groundbreaking digital realities. ... Read more

Skills

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dev_niles
Devin Niles
Offline • 
Average response time: 2 hours

See my services

AI Websites & Software
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AI Websites & Software
I will create an adult openai content text image video chat and voice generator

Portfolio

Work experience

Candy_AI

AI Chatbot Developer / Conversational AI Engineer

Candy AI

Feb 2024 - Jun 2026 • 2 yrs 4 mos

Designed and fine-tuned large language models for personalized companion chat experiences across Candy AI's flagship platform, improving response coherence and emotional tone matching by 38% based on user engagement metrics. Built and optimized multi-turn dialogue pipelines handling over 2 million daily conversations, reducing average latency from 850ms to 310ms through model distillation and inference caching. Implemented safety and content moderation layers using classifier ensembles, cutting policy-violating outputs by 72% while maintaining conversational naturalness. Collaborated with product and research teams to A/B test personality presets and memory retention features, driving a 24% increase in session length. Developed age-gating and consent verification flows to ensure compliance with adult content regulations.

NVIDIA

Computer Vision Research Assistant

NVIDIA

Sep 2019 - Dec 2020 • 1 yr 3 mos

Developed real-time object detection models (YOLOv5, EfficientDet, Faster R-CNN) for autonomous driving simulation datasets, achieving 67.3% mAP on challenging weather and lighting conditions. Optimized neural network inference on NVIDIA Jetson Nano edge devices, achieving 45 frames per second at 8 watts power consumption through TensorRT acceleration and INT8 quantization. Co-authored an internal technical report on Transfer Learning for Low-Latency Traffic Sign Recognition.