Full-Stack Developer & AI/ML Engineer | Building Intelligent, Scalable Web Solutions
I am a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning, with experience in full-stack web development, machine learning, and AI-powered applications.
My work focuses on building practical and scalable software solutions using technologies such as Python, JavaScript, TypeScript, Flask, FastAPI, Next.js, SQL, PyTorch, and Scikit-learn. I have experience developing complete applications, from responsive frontend interfaces and backend APIs to machine learning models and data-driven features.
My technical experience includes web application development, predictive modeling, classification, time-series forecasting, explainable AI, and data processing. I have also worked on research projects in healthcare AI and have publications covering stroke prediction, drug-food interaction prediction, and migraine risk forecasting.
I approach projects with a focus on clean code, practical problem-solving, and building solutions that are reliable, maintainable, and aligned with the specific requirements of each project.
I am currently open to working on web development, full-stack applications, AI/ML integration, data-driven systems, and custom software solutions.
Work Terms
I prefer to discuss project requirements before starting work to ensure that the scope, deliverables, timeline, and technical requirements are clearly defined.
Project cost and timelines may vary depending on the complexity and requirements. I provide regular updates throughout the development process and communicate any important technical considerations or changes promptly.
For larger projects, work can be divided into milestones with clearly defined deliverables. Revisions can be discussed based on the agreed project scope.
I am open to both fixed-price and hourly projects. Communication can take place through the Guru platform to ensure clear documentation and efficient collaboration.