Summary
Aditya Lahiri is a UMD-trained computer scientist with a 4.0 GPA and a decade of tutoring and technical experience focused on machine learning, data science, and bioinformatics. He has applied ML to real-world problems ranging from Arctic satellite imagery and solar-panel monitoring to automated extraction of scientific workflows using generative AI. Comfortable across Python, Keras, Flask, and JSON/Linked Data transformations, he bridges research and production by turning papers and messy datasets into usable tools. His background in neuroscience and field research informs a pragmatic curiosity for biological and environmental applications of computation. Based in the Washington DC–Baltimore area, he currently tutors while continuing to build ML solutions for interdisciplinary science. Colleagues describe him as a meticulous implementer who seeks elegant automation where others see only noise.
10 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Maryland
High School Diploma, High School Diploma at Poolesville High School