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Master Control from our Control tutors, mentors, and teachers who will personalize a study plan to help you refine your Control skills. Find the perfect Control tutor now.
Master Control from our Control tutors, mentors, and teachers who will personalize a study plan to help you refine your Control skills. Find the perfect Control tutor now.
Control tutor
Control tutor
The last 6 years have allowed me the development of a broad robotics software engineering skillset. This includes motion planning and control of mobile robots, themes that are indeed central to current doctoral work. Achievement to date has been supported by a BSc in Applied Informatics and MSc in Software Engineering.
Control tutor
I help mentees who need ASAP Assistance, Long-Term Association and I am an expert professional mentor with over 10 years of expertise in data analysis, micro frontend, and micro service architecture, as well as a strong foundation in HTML, JavaScript, SCSS, react, angular, vue, node.js, git. Skilled in CI/CD, machine learning(Python), & developing iOS/hybrid applications, performance based scripting in C++, Web Assembly etc. I am passionate about sharing knowledge and fostering growth in others. I bring a collaborative approach to mentoring, prioritizing clear communication, hands-on learning, and continuous improvement. Known for quickly adapting to and implementing new technical solutions, I guide mentees in project management, troubleshooting, and delivering high-quality outcomes within set timeframes, empowering them to excel in their careers.
Control tutor
An avid Software Engineer with lots of experience with Technologies like **React, React Native, JavaScript, Typescript, Nodejs, Databases, Git/version control, deployment and Best Code practices**. Don't hesitate to reach out if you need assistance on your project/tasks/challenges
Control tutor
I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
Control tutor
Full-stack software craftsman and technical leader with over 15 years of experience. Equally adept at system design, programming, technical leadership, mentorship, and business collaboration. Have a wide breadth of technical experience, but specialize in backend API development, relational databases, and web applications. Passionate about simplicity and efficiency. I have worked at over a dozen companies large and small, in a handful of different domains. Also participated in hundreds of interviews, about half-and-half as the interviewer and the interviewee. I have given dozens of talks and training sessions on a variety of topics, mostly focusing on distributed systems, caching, and testing. My top skills are Java, SQL, testing, and refactoring. I have experience with formal academic and professional mentorship, and would love to help you skill up, solve a problem, or just nerd out with you today!
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See the power of our Control tutors through glowing user reviews that showcase their successful Control learning journeys. Don't miss out on top-notch Control training.
“My first session with Rakib was good. I showed him code from my last interview. We went over it and he gave me feedback on how to explain the code better. He is setting up a path to help me get better, fill in the gaps so I can be better prepared for interviews.“
Pam / Nov 2024
K M Rakibul Islam
Control tutor
“Anup is amazing! His business acumen and personality are both top-notch. I'm incredibly appreciative of the time he spent with me, appending queries and teaching me how to use Power Query. He's also super responsive and always on time, which I really appreciate. As someone with dyslexia, I sometimes struggle with directional instructions, but Anup was very patient and understanding. I'm so grateful I found him and will definitely reach out for more training in the future.“
genevieve Perry / Nov 2024
Anup Mistry
Control tutor
“I have worked with Warith for the past 3 months. I feel that I have gained at least 2 years of solid real-life experience in VanillaJS, React, Node and MongoDB. Warith is a solid lead developer and an exceptional mentor and coach. He combines advanced tech knowledge with mature softskills to guide you as a mentee. I will continue to work with Warith.“
carlos / Nov 2024
Warith Omoyele
Control tutor
“Yuriy was super helpful in getting me up to speed on navigating a complex frontend open source codebase to which I wanted to contribute. He has a ton of experience and insight, and was able to drill down into the details quickly and get a rapid understanding of how things worked. Highly recommended!“
Matt / Nov 2024
Yuriy Linnyk
Control tutor
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We'll help connect you with a Control tutor that suits your needs.
Find the most suitable Control tutor by chatting with Control experts.
Arrange regular session times with Control tutors for one-on-one instruction.
Learning Control effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
The time it takes to learn Control depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
The cost of finding a Control tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
To find the best rate, browse through our Control tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
Learning Control with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
By leveraging these benefits, you can significantly improve your competency in Control in a structured, supportive, and effective environment.
Personalized Control mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Control.
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