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I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
If you are looking to learn about and implement machine learning, then I will be a great tutor for you. I have helped many students understand the key concepts of machine learning, provided hands on programming lessons and assisted with coursework. There’s nothing more rewarding than seeing my students grow in confidence and ability, and I’m excited to be a part of your journey.
Hello, I'm a Lead Frontend Engineer with 5+ years of experience scaling React apps and leading engineering teams. My strengths are in TypeScript, Next.js, architecture, and performance. I want to mentor to share the best practices I've learned and help you solve real-world coding challenges.
### About Me 👋 **Full-Stack Engineer | React + TypeScript, Node + AWS | Dashboards, Real-time, Electron/Tauri** I’ve built data-heavy web platforms with Node.js, TypeScript, PostgreSQL, Redis, REST/GraphQL APIs, and CI/CD workflows, including backend APIs for persisting and sharing lab/chart data, serverless payment and document workflows, and API-driven visualization products. My experience at Esri on the ArcGIS Charts team, along with the GT Tree Viewer spatial web app, gives me a strong base in geospatial data, map-driven products, and CRUD workflows over location-based datasets. I’ve also worked on FinStat and Manufac Web Components, which involved choropleth maps, interactive data visualization, API-backed data processing, and performance-focused frontend/backend integration. I bring 7+ years of full-stack engineering experience with strong backend, data visualization, cloud, and geospatial product exposure. While most of my recent cloud work has been on AWS, the deployment patterns translate well to Azure App Service, Azure PostgreSQL, Storage, Redis Cache, monitoring, and GitHub Actions-based CI/CD.
Hi! I love Java, Python, Javascript, distributed systems, large scale systems, machine learning, natural language processing and image processing. My work has been featured on the AWS blog (https://tinyurl.com/chaosrunner), The Guardian (https://tinyurl.com/topvocab) , Billboard.com (https://tinyurl.com/topprofane) and other print/digital publications. I also own Amazon's chaos testing framework called AWSSSMChaosRunner (https://github.com/amzn/awsssmchaosrunner). I am a Senior Engineer at Amazon's Prime Video and have worked on scaling backend systems to millions of transactions-per-second, utilising various cloud technologies and primarily working with Java, Kotlin and Javascript. This involves image/audio/text processing systems, creating & managing databases/APIs for mobile/web applications and everything in between. I have 15yrs+ experience with backend engineering, cloud tech, nlp, signal processing and image processing. I can help you with any of these topics. I also love hackdays and have attended 20 hackdays in Europe in the last couple of years and collaborated with beginners/experienced developers on different kinds of projects. Thanks for reading and hope to talk to you soon!
An AIML Engineer having 7 years of experience skilled in Machine Learning , Deep Learning , Statistics , problem-solving and programming . I have deep knowledge of several languages and Library such as Python(Keras , Scikit-Learn, pandas, Numpy etc) . I have worked on Classification , Regression , Deep Learning , Gen-AI and CNN projects. Mentoring to the new joiner in my project and taking cross-skilling session after every quarter. During my journey , I successfully combined my studies with work and other commitments showing myself to be self-motivated , organised and capable of working under pressure . I have a clear , logical mind with a practical approach to problem-solving and drive to see things through to completion .
I’m an experienced software engineer with many years in the industry, including time at Google. I have strong expertise in Java, Python, and AWS, and I enjoy solving complex problems. I focus on building the right solutions, simplifying systems, and reducing complexity and cost. I’m looking to work on projects where I can use my skills and problem-solving mindset to create efficient and scalable software.
I’m passionate about the purpose of helping others by sharing knowledge. I like the idea of challenging myself to find data-driven solutions, either it's a practical problem in a real business or an academic problem. I believe that because of three reasons. First, after more than a decade of experience as a small business manager, I acquired a DEEP UNDERSTANDING OF BUSINESS. Second, in that period I use to perform data analysis on my daily basis, which provides me an ADVANCED LEVEL OF MICROSOFT EXCEL spreadsheet. Lastly, as a Ph.D. student in finance, I have been developing some academic-level research skills, including an EXPERTISE IN R LANGUAGE to analyze data. Therefore, I give my best to use my background and find a solution to your problem. If I cannot solve it, you will get a FULL refund. So, there's absolutely no risk for you. I don’t charge anything if the mentee is not satisfied.
Through my journey as a developer, I have 7+ years of professional experience and helped 150+ clients with their development projects across several Technologies including **Node, React, NextJS, Javascript, TypeScript, Python, C++, JAVA, Unity Game Development**. Due to my strong understanding of Data Structures and Algorithms along with programming fundamentals, I can quickly learn any new language and concept which enables me to design and develop production-level systems. My mantra is to enhance my knowledge with practical applications. I focus on writing simple, clean, consistent and beautiful programs by prioritizing a well-thought design to ensure that they are easier to debug and maintain.
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.
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