Building intelligent solutions with code
I'm Harsh Kumar, a Machine Learning Engineer in training at Lovely Professional University, India. With a deep-rooted passion for artificial intelligence and machine learning, I specialize in designing intelligent solutions and exploring cutting-edge trends in the data science landscape.
My technical toolkit includes a strong command of Python, SQL, Java, and C/C++, complemented by hands-on experience with leading data science libraries such as Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib. I also bring proficiency in data visualization and database tools like Tableau, Excel, MySQL, and MongoDB.
I thrive in environments that challenge me to grow. Whether it's building models in Jupyter Notebook or crafting efficient code in Visual Studio Code, I'm committed to delivering impactful, real-world solutions. I continuously seek to expand my expertise, eagerly embracing new technologies, frameworks, and programming paradigms that enhance both my capabilities and the value I bring to every project.
Let's connect, collaborate, and create meaningful tech together.
Published 3 technical articles on Medium with 1000+ views, sharing knowledge about AWS, Python, and DevOps with the developer community.
Read my articlesBachelor of Technology - Computer Science and Engineering (Data Science with Machine Learning)
Pursued and completed senior secondary education with a science specialization from Delhi Public School, Gaya, Bihar
Successfully completed secondary education at Takshila School, Gaya
Built automation workflows to streamline repetitive operational processes, improving internal efficiency and reducing manual effort by ~80%. Diagnosed and resolved technical issues in collaboration with cross-functional teams, reducing turnaround time for operational fixes. Integrated internal APIs, dashboards, and monitoring tools to strengthen product reliability and support real-time insights for engineering teams.
Drafted comprehensive documentation covering deployment pipelines, CI/CD workflows, and monitoring strategies, reducing onboarding time for new engineers by 25%. Collaborated with senior engineers to identify bottlenecks and learnt automation solutions, cutting manual intervention by 30% and accelerating deployment cycles by 15%.
Collected and analyzed customer reviews using web scraping to uncover insights about customer satisfaction. Performed sentiment analysis on review data to understand customer sentiment. Developed a predictive model to forecast customer booking behavior, supporting pricing and capacity planning strategies.
Explore my portfolio of projects showcasing my skills in data science, machine learning, and web development
Long-form writing on engineering, AI, and building software with taste. A few recent essays — read the full archive on the blog.
The most reliable systems I have shipped were built on unglamorous, well-understood tools. Here is why boring is a feature.
A design system is not a component library. It is a set of shared decisions your team will still trust in two years.
Retrieval-augmented generation lives or dies on retrieval. A grounded look at how vector search quietly goes wrong.
Looking for a skilled professional to bring your ideas to life? Hire me, and let's create innovative solutions that drive success and exceed expectations.
Have a project, idea, or opportunity? I’d love to hear from you.