As a full-stack engineer at a start-up, I’m developing a next-generation AI tutoring service to integrate with universities, where I worked on transitioning from Streamlit to Next.js, designing instructor’s Dashboard, setting up SSO Auth, and enhancing the prompt page using Next.js, Firebase, Django Rest, Langchain, Clerk and Vercel
Tutored over 1000 students on courses: Calculus I - IV, Linear Algebra, Discrete Mathematics, Data Structures & Algorithms, Programming in C/Java/Python, Theory of Computation, Database Systems, Distributed Computing, Design & Analysis of Algorithms, Systems Programming, Cybersecurity, Software Engineering
Conducted supplemental sessions, exam preparation sessions, office hours, and assisted with grading over 1000 students for the selected courses.
Tested LLM-generated code responses across multiple programming languages, queries, and frameworks such as Python, Java, C/C++, JavaScript, MySQL, ExpressJs, and ReactJs. Authored detailed suggestions and fixed not valid generated code responses to enhance performance, security, and scalability of LLM generated response.
Conducted supplemental sessions, exam preparation sessions, office hours, and assisted with grading over 1000 students for the selected courses.
Conducted supplemental sessions, exam preparation sessions, office hours, and assisted with grading over 1000 students for the selected courses.
Led SAT Math preparation sessions for 4 groups of 5-10 students, focusing on critical math topics. Developed and administered a structured syllabus, session agendas, created study materials and mock exams to simulate real test conditions. Achievements: My students averaged 695/800 - 174 points above the national average in 2022. Personally scored 780/800 in Math, ranking in the World’s Top 1% in 2017.