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clausthal-zellerfeld, germany
$30 USD / час
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Vivek R.

@vivekrabadiya54

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$30 USD / час
Флаг GERMANY
clausthal-zellerfeld, germany
$30 USD / час
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Machine Learning Engineer, with NodeJs and Java

A Machine Learning Engineer with a robust background in computer science and over 3 years of experience in designing, implementing, and maintaining machine learning systems. Proven expertise in leveraging large data sets to address business challenges, improve decision-making, and drive insights. Proficient in various machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Comfortable with the full machine learning pipeline, from data collection and preprocessing to model development, training, testing, and deployment. Adept at using Python, R, TensorFlow, PyTorch, and other industry-standard tools for machine learning and data analysis. Adept Solution Architect with over 1 year of experience in leading enterprise-wide technology projects. Proven expertise in creating innovative technical solutions, aligning IT strategy with business objectives, and facilitating seamless software integration. Strong collaborator, effectively communicating complex technical information to stakeholders, technology teams, and management. Demonstrated success in ensuring that technology resources meet both short and long-term business needs.
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Портфолио

o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
o Contributed to ML in traffic control to support emergency vehicles at intersection transitions in conjunction with DLR (German Aerospace Centre) with a key focus on aiding emergency vehicles through a unique ML method, Reinforcement Learning. Assisted emergency vehicles at interaction, and established a new phase called Emergency Phase. o Created customized environment to train an AI controller by implementing observation, action, and reward functions. o Trained a signal controller for on-time transition of phases, whilst decreasing impact on other road users by using various stable baselines3 RL approach techniques such as PPO3, TRPO, and Recurrent PPO.
Assist emergency vehicle on intersection using ML method
Patient Profile Android Application
o Employed various dependent and independent variables to execute a project focused on predicting weather conditions. o Used gradient descent method to discover influential variables for independent parameters.
Weather Data Analysis Using ML Methods
o During first phase of project, utilised ROS Gazebo Simulator and made drone requiring a command to move, commands including audio and remote control. o In second part, developed a robot and fixed camera, radar, sensor and another thing and enabled movement of robot without any command.
Gazebo Simulation Project
Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward. It's often used in situations where labeled data is not available or is impractical to obtain. Trading using Reinforcement Learning is a method where an agent learns to make buying, selling, or holding decisions in a market environment. The agent starts with no knowledge of the best strategy and learns from the feedback it receives from the market. The steps usually followed are: State Representation: This step involves defining the state of the market at any given time. This could include data points like current price, volume, historical data, indicators, or any other relevant information. Action Definition: The actions available to the agent need to be defined. In trading, the typical actions are Buy, Sell, or Hold. Reward Definition: A reward function needs to be defined which provides feedback to t
Trading using Reinforcement Learning
The AI chatbot is a powerful conversational tool that leverages artificial intelligence to provide intelligent responses based on a predefined set of data. It's designed to understand queries, process them, and deliver the most accurate and relevant answers in real-time. The chatbot uses advanced natural language processing and machine learning algorithms to improve its understanding and response capabilities over time, offering a more personalized and efficient interaction experience. Ideal for customer service, FAQs, or any context where information retrieval from a specific dataset is essential.
AI Chatbot
The AI chatbot is a powerful conversational tool that leverages artificial intelligence to provide intelligent responses based on a predefined set of data. It's designed to understand queries, process them, and deliver the most accurate and relevant answers in real-time. The chatbot uses advanced natural language processing and machine learning algorithms to improve its understanding and response capabilities over time, offering a more personalized and efficient interaction experience. Ideal for customer service, FAQs, or any context where information retrieval from a specific dataset is essential.
AI Chatbot

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Опыт работы

Solution Architect

CTI Consulting
авг. 2022 - Настоящее время
Adept Solution Architect with over 1 year of experience in leading enterprise-wide technology projects. Proven expertise in creating innovative technical solutions, aligning IT strategy with business objectives, and facilitating seamless software integration. Strong collaborator, effectively communicating complex technical information to stakeholders, technology teams, and management. Demonstrated success in ensuring that technology resources meet both short and long-term business needs.

Research Student

German Aerospace Center
нояб. 2021 - июл. 2022 (8 месяцев, 2 дня)
o Gained extensive knowledge, expertise, and skills necessary to complete different technical projects. o Utilised strong skills of python language and gained substantial experience in machine learning. o Explored possible research topics in line with personal interests and preparation.

Android Developer

Winter Infotech
янв. 2018 - окт. 2019 (1 год, 9 месяцев)
Leveraged extensive java skill and design as well as build advanced applications for Android platform. Successfully developed various native Android applications and frameworks using Kotlin and Java proficiently. Interpreted and deployed robust app architectures and complex user interfaces. Utilised vast knowledge of Android system frameworks to solve any emerging problems. Communicated and engaged with designers, engineers, and product managers to build great experiences.

Образование

Master of Science IT

Technische Universität Clausthal, Germany 2020 - 2022
(2 года)

Bachelor of Engineering IT

Gujarat Technological University (GTU), India 2013 - 2017
(4 года)

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