I am a passionate and detail-oriented AI & Machine Learning developer with a strong foundation in Python, data analysis, and model deployment. With experience in building end-to-end solutions—from data preprocessing to visualization and deployment—I aim to create AI-driven applications that solve real-world business problems.
My skill set includes Python programming, NumPy, Pandas, Matplotlib, and Scikit-learn for data analysis and machine learning. I also have hands-on knowledge of deep learning frameworks such as TensorFlow and PyTorch, along with practical exposure to NLP tasks like text classification, sentiment analysis, and machine translation.
In addition to AI/ML, I have experience with web technologies such as FastAPI, Flask, and HTML/CSS, allowing me to build and deploy machine learning models as APIs or web-based solutions. I am comfortable integrating third-party APIs and working with cloud services for deployment.
During my academic and internship experiences, I worked on projects involving predictive modeling, data scraping, airline booking demand visualization, and fine-tuning translation models for culturally nuanced idioms. I also gained experience in presenting AI solutions, writing clean and maintainable code, and collaborating with teams to deliver results under deadlines.
What sets me apart is my eagerness to learn and apply new technologies. I continuously upskill myself by exploring cutting-edge AI frameworks, participating in real-world assignments, and experimenting with innovative approaches to problem-solving.
I am fluent in English, with strong communication skills that help me explain technical concepts to both technical and non-technical stakeholders. I am seeking freelance opportunities where I can contribute my expertise in AI and ML, collaborate with dynamic teams, and build impactful digital solutions.
If you are looking for someone who combines technical proficiency with curiosity, creativity, and dedication, I would be happy to collaborate with you on your next project.