Amir Alakbarli

Engineered chatbots for Platerra and FarmerApp using Google Gemini API. Created segmentation and detection models for water, forest, wheat, car, and building analysis, achieving over 96% F1-score for water body detection.

Led international students through Stanford's CS106A, facilitating weekly coding sessions on core Python concepts.

Taught data structures, algorithms, Python programming, and ML mathematics to diverse learner levels. Guided student-led ML projects, introducing essential libraries such as NumPy, Pandas, and PyTorch.

Collected, processed, and analyzed IBM weather and sensor data for predictive modeling. Designed and trained a small-scale NLP model for text-based book recommendations.

Mentored 50+ students in data structures, algorithms, ML mathematics, and programming projects.

Grade: 97.53

Activities and societies: ICPC, Azerbaijan Regional, NERC

Graduated with an Honors Diploma, achieving the highest CGPA in the class: 97.53. Competed in ICPC, securing 2nd place in the Azerbaijan Regional and an Honorable Mention in NERC.

Participated in the International STEAM Azerbaijan Festival in 2022.

Completed the Machine Learning Specialization offered by Stanford University and DeepLearning.AI.

Completed the MERN Full Stack Web Development program at Tech Academy.

Completed a Data Science program at Code Academy.

Participated in the Startup Accelerator Program organized by IDDA, KOICA, and Soongsil University in 2023.

Completed the Introduction to Entrepreneurship program offered by SABAH.academy and IE University Entrepreneurship.

Graduated from the Aspire Leaders Program.

Participated in the Math Camp organized by the Ministry of Science and Education.

Participated in the UFAZ Hackathon in 2022.