A Junior Generative AI Engineer skilled in Machine Learning, Data Engineering and software development. Proficient in Python, PyTorch, TensorFlow, and Scikit-learn. Experienced in RAG, prompt engineering, and building scalable data pipelines.
Dedicated to designing innovative AI-driven software systems for impactful global applications.
Relevant Courses:
-Fundamentals of Programming
-Data structure and algorithms,
-Applied mathematics, statistics
-Information security,
– OOP, SDLC, Agile & DBMS
● Developed a system that transforms textual descriptions of advertisement
concepts and assets into detailed, visually compelling storyboards.
● Associated with a team to Build a reliable and scalable platform for crypto
back-testing trading strategies.
● Developed a high-precision Q&A RAG pipeline.
● Monitor network traffic, enforced security policies, and configured
firewalls and IDS/IPS
● Tested software products for bugs, operating speed, and performed
vulnerability assessments’ which increases development efficiency by 20%
● Developed and delivered security awareness training programs for
employees