Ajeet Kumar

I am a highly motivated and results-oriented technology and quantitative finance professional based in Bangalore, India, currently available for immediate joining. As a recent graduate with a strong academic background and hands-on industry experience, I am eager to contribute to innovative, data-driven organizations at the intersection of finance and technology.

I hold a B.Tech in Information Technology from Dr. A.P.J. Abdul Kalam Technical University and an M.Tech in Computer Science & Engineering from Netaji Subhas University of Technology, where I graduated with a CGPA of 7.92. I am also currently pursuing an M.Sc. in Financial Engineering from WorldQuant University, maintaining an outstanding cumulative score of 87%.

My expertise combines strong technical and quantitative skills, including Python, C++, SQL, machine learning, and financial modeling. I have practical experience in portfolio optimization, Fama-French factor analysis, covariance denoising, Monte Carlo simulation, Markowitz MVO, and Black-Litterman models. Additionally, I have worked on AI-driven computer vision systems during my internships at Amul and Algo8.ai, where I contributed to defect detection and intelligent automation projects.

I have been recognized for both academic and technical excellence, including securing 1st Place at the Algo8 Machine Learning Hackathon hosted at Indian Institute of Technology Kanpur and receiving a felicitation from the President of India for academic achievement.

As a fresher with a strong analytical mindset, research-oriented approach, and passion for solving complex problems, I am actively seeking opportunities in quantitative research, financial engineering, data science, and AI-driven technology roles where I can contribute effectively from day one.