profile image

Reo Inoue

Senior Backend Engineer

About Me

Talented Python Backend Engineer with extensive experience in designing and implementing scalable backend systems, specializing in creating robust AI-powered solutions, consultance and API integrations.
Consistently contributed to the development and optimization of consumer-facing products in dynamic, fast-paced environments for 7+ years.

Latest Projects


Speaksynk

Speaksynk - Voice Interpretation System

This site is for video Interpretation using AI Technologies such as Machine Translation, TTSS and STT. In the first version, This supports 10 languages and will add new functions in the future.

Find out more

talkhealth.ai

Talkhealth.ai - Online Healthcare Supporting Bot

Talkhealth is simply designed, but most important for healthcare, This gives us vitality for life and provides us with a unique way to preserve it.

Find out more

project name

Taostats.io AI BTC propheter

Bitcoin - Queen of Crypto changes according to several factors. There is something that can predict the exact price change of BTC. It's Just Taostats. We can feel the attractiveness of AI.

Find out more

project name

Fluent.ai - Voice enabling the world's devices

Fluent.ai's unique speech-to-intent technology provides offline, noise robust speech recognition that can support any language and accent.

Find out more

project name

Tait Towers Website

Create, engineer and produce never-seen-before live entertainment experiences for artists, performers and brands worldwide. Taittowers.com will support your dream.

Find out more

Work Experience

Backend Engineer - Air.ai (2023-09 - 2024-09)

The world's first self-learning, multi-modal conversational AI that can sales/CS calls using phone.
• Developed the Django backend for Generating Voice according to customer's request and maintained upgrades combined FastAPI.
• Optimized the open-source TTS model, BARK, with TensorRT and ONNX, reduced the bot's response delay time from 2.5s to 1.5s.
• Designed the implementation of continuous integration and continuous deployment (CI/CD) pipelines using Kubernetes to automate and enhance code deployment workflows.
• Increased the bot's smartness through advanced algorithms and effective prompt engineering techniques.

Backend Engineer - HayStack (2019-9 - 2023-08)

HayStack reinvented the intranet for the future of work, with a focus on seamless integrations, powerful search capabilities, and consumer-grade design.
• As a Backend Engineer at talkhealth.ai website, creted strategic plans, suggesting innovative solutions, and managing end-to-end product lifecycles.
• Pioneered in the development of a dynamic trading bot using python and leveraging RNN, LSTM, and Transformer models for accurate time series prediction.
• Implemented Bitcoin Price Prediction utilizing Neural Networks, several specialized algorithms, and an innovative approach to news analytics. Successfully predicted considerable price trends, leading to higher profit margins.
• Designed the backend of the home.speaksynk.com project, which supports voice interpretation for over 10 languages, and reduced model delay time by fine-tuned the Bark Model.

Full stack Engineer - Devmatics (2017-05 – 2019-07)

Devmatics is a professional software development company that provides custom software, mobile apps, integration, and workflow automation.
• Designed the Remote Teaching System equipped with a facial recognition system using AI and various teaching support functions. Developed and Deployed the Whole project using FastAPI, Github and Django for 3 months.
• Upgraded backend functionalities for Fluent.AI (https://fluent.ai) by implementing a scalable voice model that accommodates various lengths: this led to a 25% increase in user retention and positive feedback from over 500 users.
• Participated in Voice Bot Development using Eleven labs, Deep Gram, DID and another Neural Network.
• Acquired knowledge in AI-related technologies: BERT, T5, BARK, GPT, LLM and Vector Databases such as Pinecone, Chroma DB, Milvus.