Purvak Lapsiya

Purvak Lapsiya
lapsiya at usc dot edu

I am a Machine Learning Engineer at Adobe - working on Adobe Sensei. I've got a diverse set of experiences from working in small scale and high impact startups like frenzy.ai where I was involved in setting ML infrastructure and services on cloud to working in SAP and delivering production-ready code and solutions to clients. I have a Computer Science Master's degree from University of Southern California where I also worked as a Research Assistant in USC ICT lab on 3D semantic segmentation using deep learning.

I also collaborated with the Associate CTO of NASA Jet propulsion laboratory Dr. Chris Mattmann at Information Retrieval & Data Science Group. I have had the fortune to intern / conduct research at SAP, Palo Alto (Summer 2019) mentored by Dr. Amit Nagar and; Indian Space Research Organization, (Spring 2018), on a diverse set of topics - ranging from vision & language to UAVs.

Email / CV / LinkedIn / Github / Twitter

Research

I am interested in the broad areas of Machine Learning, Computer Vision & Language. My primary research interest is in "understanding" models in context of fairness and to make models "understand" environment and come up with fair decision. My undergraduate thesis Personal Assistant Drones with Semi-Autonomous Flight Capabilities extended the concept of developing software suite for UAVs which has swarm capabilities. I'm also intreseted in fast semantic segmentation and semi-supervised learning.

News

[Feb 2020] I will be joining Adobe Sensei from July 2020!!
[Jan 2020] I will be interning at frenzy.ai in Los Angeles for Spring 2020
[Dec 2019] We won the Best Paper Award at I/ITSEC'19, the world's largest modeling,simulation and training conference!
[Dec 2019] Presented our work on "Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain " at, I/ITSEC 2019.
[May 2019] I will be interning at SAP at Palo Alto in summer 2019.
[Jul 2018] I will be joining University of Southern California as a Masters of Computer Science student in Fall 2018.
[Mar 2018] Runner's up Smart India Hackathon'18 under department of space!.

Research/Work Experience

	Machine Learning Engineer, Adobe Multi-modal ML, Diffusion, text to image, Generative AI.
	Software Engineer Intern, Frenzy.ai Building Infrastructure for Machine learning production.
	Data Scientist Intern, SAP Designed an intelligent service detect custom tables in PDF documents and extract information for clients who processes 1,000,000 invoices. Researched on improving fairness of job description by removing unconscious gender biased words.
	Graduate Research Assistant, USC Institute for Creative Technologies Researched on learning dense volumetric segmentation from sparsely annotated point clouds in a semi-supervised manner for better simulation and modeling of 3D terrain. Implemented distributed training and re-training procedures for a neural network to handle 18 million data points per point cloud. [Media Coverage]
	Directed Research, IRDS Developed a fine-grained image similarity using deep ranking to improve image retrieval of similar images for memex. [Github]
	Software Engineering Intern, Indian Space Research Organization Trained and built CNN based classiﬁers using tensorflow for Garbage, Pothole and Road detection with an accuracy of 92%. Assisted with the development of node.js application dashboard and specifically worked in facilitating visualizations of swarm status and node heartbeats. Optimised traditional master-apprentice fashion by introducing relay points for timed data collection, minimizing data packet drops close to 0.
	Research intern, K.J. Somaiya College of Engineering Created an online training system which gauges the understanding of learner’s emotions in the context of learning.

We will not only use the machines for their intelligence, we will also collaborate with them in ways that we cannot even imagine. ~ Fei-Fei Li (Design and CSS courtesy: Jon Barron, Amlaan Bhoi and Purva Tendulkar)