Hey, I'm Anjali!

I'm a 4th year undergrad at UC Berkeley studying Electrical Engineering and Computer Science. While at Cal, I've been head student instructor for Cal's computer graphics course (CS184), immersed myself in computer vision research, and led a mobile development org

I'm passionate about computer graphics, education, and tech for social good. I'm excited about the applications of machine learning to these spaces, and am specifically interested in simulation tech, 3D computer vision, and computational photography. After graduating, I hope to operate at the intersection of product and research, applying the latest and greatest technology to real-world, high-impact problems.

Currently exploring: human vision (Research with Prof. Ren Ng & Prof. Austin Roorda), making animated shorts (Maya), hiking trails in the Berkeley hills!

Currently reading: The Design of Everyday Things by Don Norman, On Photography by Susan Sontag

For more info about my experience, click here!

Feel free to check out a few of my projects below :)

Graphics

Sand-Water Simulation

Implemented multi-species (sand & water) particle interactions using the 2D Material Point Method (Taichi Graphics, Python)

Rain Simulation

Simulated raindrops sliding down a glass window - modeled raindrop shape, motion, and shading.

Cloth Simulation

Implemented a real-time simulation of cloth using a mass and spring based system (OpenGL, C++)

Rasterizer

Implemented a simple rasterizer including features like drawing triangles, supersampling, hierarchical transforms, and texture mapping with antialiasing. (OpenGL, C++)

Mesh Editing

Built Bezier curves and surfaces using de Casteljau algorithm, manipulated triangle meshes represented by half-edge data structure, and implemented loop subdivision.

Path Tracer

Implemented physically-based renderer using a pathtracing algorithm. Specifically, implemented ray-scene intersection, acceleration structures, and physically based lighting and materials

Extension of Path Tracer

Implemented mirror and glass BSDFs as well as a depth of field simulation

Computer Vision

Facial Keypoint Detection with Neural Nets

Created an automatic facial keypoint detector (68 keypoints) from scratch using Pytorch.

Neural Style Transfer

Reproduced the algorithm and results as described in the paper "A Neural Algorithm of Artistic Style paper" by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge.

Object Pose Estimation

Implemented pose estimation of a known image. Adapted this pose estimation algorithm to compute a sparse point cloud representation of a scene. (OpenCV, Numpy, Python)

Implementation of Neural Network from Scratch

Computational Photography

Processing Prokudin-Gorskii Glass Plate Images

Use digitized versions of Prokudin-Gorskii’s RGB glass plate negatives to faithfully reconstruct a RGB colored image.

Image processing: Hybrid Images & Multi-Resolution Blending

Used high and low frequencies of an image to blend, sharpen, and combine a set of images in different ways.

Face Morphing

Used user-defined facial keypoints to combine, morph, and warp faces in interesting ways!

Auto-Stitching Photo Mosaics

Stitched together images taken from different angles to create one contiguous parnorama shot. Used principles of homogenous matrices, image warping, and image combination / blending

Image Quilting

Implemented a contiguous, "quilted" image using a single texture patch, as well as texture transferring.

Light Field Camera

Implemented effects like depth refocusing and aperture adjustment using collections of large image sets taken over a plane that is orthogonally aligned to the optical axis.