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Experienced software architect and developer with over a decade of expertise in building cloud-based applications. I specialize in web development, creating scalable, high-performance solutions, and have extensive experience in machine learning, including developing predictive models and integrating AI features to enhance applications. Proficient across the full software development lifecycle, I excel at understanding complex codebases, addressing bugs, refactoring for performance, and implementing new features to meet evolving requirements. Committed to Object-Oriented Programming principles and design patterns, I ensure code is clean, maintainable, and scalable. I focus on delivering well-tested, reliable solutions that support long-term success. My expertise in machine learning enables data-driven decision-making, while my .NET skills meet demanding technical requirements. I thrive in collaborative environments, valuing open communication and innovative problem-solving. Driven by a passion for technical excellence, I consistently deliver solutions that align with user needs and business goals.
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
• • • • • I have received the "Google Inside Look 2019 Award" from the Google. • • • • • I have professional expertise in Computer Vision, Deep Learning, Machine Learning, Image Processing and Object Oriented Design! And, I have a master degree from Computer Vision field! PLEASE SEE MY GITHUB TO CHECK MY SKILLS! : https://github.com/ahmetozlu My papers about Computer Vision & Deep Learning: - https://ieeexplore.ieee.org/document/8404767/ - https://ieeexplore.ieee.org/document/8404549/ YouTube: https://www.youtube.com/c/Ahmet%C3%96ZL%C3%9C/videos Medium: https://ahmetozlu.medium.com/ → Interest Areas: Computer Vision, Machine Learning, Deep Learning and Image Processing. → Technologies: TensorFlow, Keras API, dlib, OpenCV, scikit-learn, scikit-image, NumPy, SciPy, Pandas, python, OpenFace, OpenPose, Tesseract, RESTful API, Flask, Android, Gradle, Linux. → Case works: Face Recognition&Verification, Object Detection/Tracking/Counting, Image Analysis, Video Analysis, Designing&Training of CNNs, Feature Extractions and so on..
Data Scientist having 5 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 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 .
From Chicago, completed MSc in Data Science 6 years ago in Scotland. Hobbies include sports, data, and programming. I am at an intermediate level of coding in Python and have mentored various python beginners that I have met through Facebook groups, StackOverflow, junior Data Scientists on my team, and new MSc Data Science students . I work with many of the machine learning packages in Python such as scikit learn, keras, TensorFlow, various python visualizations, NLP, computer Vision, etc. Alot of what I like to do in my spare time is collect data via web scraping techniques, or with automated browsers, to utilize in machine learning workflows. I have three philosophies: 1) First just get it to work, THEN if need be, get it to work fast. 2) Don't try to boil the ocean (don't try to solve an entire problem on first go, break it up into smaller simpler tasks, then you can embellish and add on. 3) You don't need to memorize everything, but you should be able to be resourceful enough and look it up/Google it. Find examples or tutorials that exemplify what you are trying to do, or the issue you are having, and adapt it to your personal needs. Lastly, here is a video of a talk I gave at conference describing my MSc project. https://www.youtube.com/watch?v=Z3rbo3WoMME
Done a heck of a lot of programming and software design since I wrote my first on a Sinclair ZX spectrum in 1987. Not enough of it has been made open source. 2000+ five star ratings
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.
My name is Anthony and I am excited to share with you what I have learned over the years learning and writing code. I myself began learning here on Codementor and I am excited to share that with others. I understand how difficult it was getting started and patience and being sure we understand before moving on are my priorities. I always offer the first 15 minutes without charge so you can see for yourself if I am a good fit! Thank you and happy coding, Anthony
I make the dumbest thing smart. I am passionate about solving problems with possible Machine Learning modelling. I am keen on learning new algorithms. I believe sharing knowledge will increase my understanding of the subject in hand. Currently, I am working in Amazon, London on the personalization of Subscription page. I was working with Zalando SE in the Pricing & Forecasting Team from May 2018-August 2019 and before that I worked as a Machine Learning Engineer at Zomato. My major areas of interests are Deep Learning and Natural Language Processing. I completed undergrad from IIIT-Allahabad. Some of my notable projects in the Deep Learning includes Synthesizing Insights and actionable items from user opinions and reviews, Photo Classification tailored to Food search and Discovery platforms and EyeQ (Image Quality and Aesthetics determination). I dream to pursue Artificial Intelligence as an independent researcher in future. Find my content here at https://amitk.org
Experienced Research And Development Engineer with demonstrated experience in building scalable Machine Learning Systems, Deep Learning, Natural Language Processing and Full stack development. I breathe, eat and live software development. I've built software solutions ranging from TIc-Tac-Toe AI using reinforcement learning to web applications serving the top tiers of web traffic. Let me find the solution to your problems too. I am also a mentor, I love teaching programming, especially programming with Python. I am ranked top 5% on Stack Overflow for answering Python, top 2% overall. I love figuring out how someone sees their world, their problems, and then help fill in the gaps. To contribute back to the community I have published open-source packages with over 10k downloads. Through mentoring, I accelerate my own constant learning, because there is always something that you want to do better when teaching that knowledge to others! I see programming as an art. Code is expression. It needs to have clarity, purpose, elegance and efficiency to communicate well, to execute well. As a result, I produce software of the highest quality, not only functional and tested, but highly readable for future maintainers.
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