
Computer engineering student with growing experience in developing AI-powered applications. Interested in natural language processing, LLMs, and intelligent agent design. Built small-scale projects using tools like Pydantic AI, FastAPI, Docker, and speech technologies. Eager to learn and apply AI solutions to real-world problems.
Developed end-to-end, ready-to-use AI agents using Pydantic AI, integrated with FastAPI, containerized with Docker, profiled for performance, and deployed to AWS.
Contributed to developing AI-Powered Health & Wellness Apps
Built an AI Interview Agent that uses speech-to-text and text-to-speech technologies to enable natural voice-based interaction. It dynamically generates relevant interview questions using LLMs based on the job title, company requirements, and the candidate’s experience and education. The agent conducts interactive, step-by-step interviews and provides a final evaluation score.
Created a CV Analysis Agent that parses resumes using OCR and NLP techniques, extracts and groups relevant information, offers tailored feedback, and generates an improved CV based on that feedback.
Ensured safety of swimmers and improved English speaking ability in a multicultural environment.
Python
Java
C
Data Structures and Algorithms
Complexity Analysis
Active member| Debate Club
Active member| Business Club