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Research Intern
Software development and machine learning intern who built an online judge backend and evaluated deepfake detection models.
IndiaResearch Intern at Sabudh Foundation
Analyzed 1.4M+ real and synthetic images with a team of 4, using Python, Pandas, and OpenCV for image-data processing. Benchmarked 12+ ML/DL models for deepfake detection, achieving up to 99.97% in-dataset accuracy.
PythonPyTorchscikit learnOpenCVEfficientNetSVMFFTGLCMLBPDeep LearningComputer Vision
Built backend infrastructure for concurrent code compilation and execution in an online judge platform. Developed Docker-based execution sandboxes and engineered asynchronous job pipelines with Redis-based rate limiting.
DockerRedisEC2Backend DevelopmentAsynchronous ProgrammingProcess Isolation
Pursuing an Integrated M.Tech in Mathematics & Computing with a CGPA of 7.23/10, expected to graduate in May 2027.
Pursuing an Integrated M.Tech in Mathematics & Computing with a CGPA of 7.23/10, expected to graduate in May 2027.
Profile sourced from Himalayas.