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乔尔·詹宁斯
验证专家 in 工程
机器学习开发人员
乔尔 has a strong mathematics background and spent three years working as a software engineer at a consultancy firm, specializing in embedded software while gaining a broad knowledge of different technologies. He has worked as a machine learning engineer on a range of tasks, from implementing algorithms in research papers to engineering deployed machine learning systems. He is driven by projects that use exciting theories to solve real-world problems.
Portfolio
Experience
Availability
首选的环境
Emacs, Linux, Git
最神奇的...
...project I've worked on was using machine learning to decode neural signals being sent down the vagus nerve of a live subject.
工作Experience
机器学习与软件工程
自由
- Published a multi-agent reinforcement learning paper at ICML with Huawei.
- Deployed TensorFlow audio models to a 覆盆子π using TensorFlow Lite. The audio was detected using a directional microphone and would allow the attached camera to focus on areas with anomalous sounds.
- Developed a demonstrator of the UK highways traffic data that provides real-time information about the states of the roads to enable operators to more quickly detect and respond to congestions and accidents.
- Created a Python Flask back end running on AWS to allow shoppers to offset their products' carbon through Shopify.
机器学习研究负责人
BIOS.健康
- Developed a pipeline for analyzing peripheral nervous system data.
- Created an iOS Watch app for assessing patients' ability to perform a six-minute walk test.
- Managed a team of 6 ML researchers, engineers, and neural scientists.
机器学习团队负责人
小偷.io / Secondmind.ai
- Created a time series modeling library in TensorFlow for developing Gaussian Process models with faster inference through stochastic differential equation techniques.
- Took responsibility for taking Gaussian process models from research code into a finance product using Kubernetes, 码头工人, 和气流.
- Implemented neural network-based algorithms in TensorFlow that led to paper publications at machine learning conferences as part of the multi-agent reinforcement learning team.
- Served as the technical lead for a logistics time series forecasting customer project.
- Managed the professional development of several machine learning engineers and performed interviews and coding test reviews as part of the recruitment process.
高级嵌入式软件工程师
剑桥顾问
- Developed a satellite remote sensing camera for the Zoological Society of London to study animals and prevent poaching, 使用Atmel AVR和树莓派. 该摄像机被部署在肯尼亚和南极洲.
- Created a virtual queuing wristband for theme parks involving NFC, 蓝牙, 和罗拉在北欧nRF52(基于ARM Cortex M4)上. 有关更多信息,请参阅Portfolio Projects.
- Created iPad app for asset tracking for the placement of US internet cables for a telecommunications company.
- 开发了蓝牙低功耗EpiPen iPhone应用程序, 指导用户如何执行注射.
- Developed the firmware of a demonstrator of an energy harvested 蓝牙 enabled insulin injector. This device was capable of communicating dosage amount to a smartphone, 只使用身体注射胰岛素的能量.
- Wrote a tool to automatically generate C code for 蓝牙 LE profiles for a semiconductor company.
- Developed 蓝牙 audio applications using CSR hardware (now part of Qualcomm).
Experience
平均野外游戏
http://www.PROWLER.io/research/decentralised-learning-in-systems-with-many-many-strategic-agents地下资产追踪
主题公园的虚拟排队手环
我编写的引导加载程序允许通过蓝牙进行软件更新, 实现框架, 以及LED显示屏的驱动, as well as parts of the NFC interface that were used to allow the wristband to make payments and initiate queueing. 我负责优化电力消耗.
Skills
语言
Python, C, 嵌入式C, Python 2, Python 3, C++, Haskell, 生锈, Java, objective - c, 伊德里斯, 打印稿, 斯威夫特
库/ api
TensorFlow, NumPy, PyTorch, Matplotlib, Pandas, LAPACK
平台
覆盆子π, ARM Linux, Linux, 蓝牙 LE, Amazon Web Services (AWS), Android, MacOS, Windows
其他
人工智能(AI), 嵌入式系统, 统计数据, 算法, 机器学习, 神经网络, 传感器数据, 传感器融合, 硬件驱动程序, 嵌入式硬件, 蓝牙, 概率图形模型, 贝叶斯推理 & 建模, 贝叶斯统计, 深度神经网络, 强化学习, 深度强化学习, 线性代数, 卡尔曼滤波, 硬件, 近场通信(NFC), 罗拉, 咨询, 人员管理, 时间序列, 数学
工具
Emacs, Vim Text Editor, Git, GitHub, Bitbucket, Subversion (SVN)
范例
Functional Programming, Object-oriented Programming (OOP), Agile, Management
框架
瓶,促进
教育
Ph.D. 在生物物理学
剑桥大学-剑桥,英国
计算生物学硕士学位
剑桥大学-剑桥,英国
管理学学士学位
剑桥大学-剑桥,英国
数学学士学位
剑桥大学-剑桥,英国
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