I have been working on various projects as a full-stack developer and software architect in a number of industries, ranging from startups to multinational companies. I specialize in modern React/NextJS applications as well as serverless and headless architectures. I also help teams develop internal tools, work with other team members to optimize developer operations and efficiency. Lately I’ve been into machine learning and robotics and I’ve earned second place in the AWS Nasa-JPL Open Source Rover Challenge.

I am a Software engineer and a team leader with 8+ years of work experience. I Successfully grew a team from 6 to 20+ developers and reduced the number of major outages in a system from 1 in a week to 1 in a quarter year. Looking for a programming or management position with a strong team to learn from. I enjoy working on nontrivial, interesting projects that deliver value. Feel free to contact me if you have something in mind. As a software developer, I worked mostly with web applications using PHP and Python. I also have some experience with Java, Clojure, and Node.js. As a team lead, I’ve grown a team of developers into a group of teams working on multiple projects centered around one product. As a person, I like to think of myself as a friendly problem-solver. While I’m thinking about the solution, I prefer to take a pragmatic, data-driven approach to my decision-making process and always keep end goals in mind. In the end, It is important to get the job done well, with the technology and methodologies that make the most sense at the moment and the place of application.

A Data analytics engineer whose job is extracting insights from real-world data using statistics and probability, take advantage of machine learning algorithms to optimize and predict a business need using (statistical methods and regression analysis), and visualize the results programmatically with visualization libraries like seaborn, matplotlib, or with a premade tool like Microsoft power bi.

A Data analytics engineer whose job is extracting insights from real-world data using statistics and probability, take advantage of machine learning algorithms to optimize and predict a business need using (statistical methods and regression analysis), and visualize the results programmatically with visualization libraries like seaborn, matplotlib, or with a premade tool like Microsoft power bi.

I'm Machine Learning Engineer with 2 years of experience. I have worked on many projects such as object detection and classification, Semantic segmentation, pattern recognition, Image Denoising, Natural Language Processing, and video understanding using Machine Learning and Computer Vision. I also deployed ML models into production and mobile devices using TensorFlow and TensorFlow Lite.SkillsProgramming langueges (Python, C, C++)Deep Learning (CNN, LSTM, RNN, GANs)Machine Learning frameworks (TensorFlow, Keras, PyTorch, FastAI, Scikit-Learn)Image Processing and DSP using opencvData Science (Pandas, PostgreSQL)Version Control (git, GitHub, GitLab, BitBucket)Online Courses and CertificatesDeep Learning Nanodegree - Udacity. certificateProgramming for Data Science Nanodegree - Udacity. certificateComputer Vision NanodegreeCS231n: Convolutional Neural Networks for Visual RecognitionTensorFlow in Practice Specialization - Coursera. CertificateDeep learning Specialization - Coursera

I'm Machine Learning Engineer with 2 years of experience. I have worked on many projects such as object detection and classification, Semantic segmentation, pattern recognition, Image Denoising, Natural Language Processing, and video understanding using Machine Learning and Computer Vision. I also deployed ML models into production and mobile devices using TensorFlow and TensorFlow Lite.SkillsProgramming langueges (Python, C, C++)Deep Learning (CNN, LSTM, RNN, GANs)Machine Learning frameworks (TensorFlow, Keras, PyTorch, FastAI, Scikit-Learn)Image Processing and DSP using opencvData Science (Pandas, PostgreSQL)Version Control (git, GitHub, GitLab, BitBucket)Online Courses and CertificatesDeep Learning Nanodegree - Udacity. certificateProgramming for Data Science Nanodegree - Udacity. certificateComputer Vision NanodegreeCS231n: Convolutional Neural Networks for Visual RecognitionTensorFlow in Practice Specialization - Coursera. CertificateDeep learning Specialization - Coursera

I'm a full-stack software developer that enjoys working with data, and I occasionally double as a data analyst. I've been a driving force behind the creation of customisable data analysis tools. RD is one of my favorite things to do.

I am a curious person who likes to try out things. When I fail I take lessons. I strive to be better at what I do each day.

Pratik Smitin Karnik is an experienced and skilled Data Scientist with over 5 years of expertise in machine learning, data science, and related fields. He is proficient in various technologies such as Microsoft Azure, Google Cloud Platform, Python, NLP, computer vision, TensorFlow, and SQL. Pratik has worked at reputed companies like Tata Consultancy Services, Searce Inc, and Larsen & Toubro Infotech, where he has made significant contributions. Some of his notable achievements include implementing the DBSCAN algorithm to forecast non-maintenance interventions in oil production, leading to a cost-saving of $5M per true positive, and developing a Python script to generate SQL queries, resulting in an 80% reduction in time spent on manual data entry. Pratik holds a Master's degree from Liverpool John Moores University and has completed several online courses and certifications in fields like deep learning, TensorFlow, data engineering, and generative AI from platforms such as Coursera, Google Cloud Skills Boost, and LinkedIn Learning. He has also worked on several projects, including Zomato Food Delivery Time Prediction, HackerEarth Deep Learning Challenge, and building an Indian Food Recognition model hosted on Hugging Face. With his strong technical skills, diverse experience, and passion for learning, Pratik Smitin Karnik is a valuable asset in the field of data science and machine learning.

I have completed 65+ freelancing projects of ML/DL and NLP. Currently, I am working at piri.ai as a remote AI Engineer. I won the best student paper award at WSPML 2019. Me being able to complete full projects on my own and doing a remote job states that I will be perfect candidate for a remote job.