Nimisha Agarwal
Data Scientist
Buena Park
Summary
Vibrant Scientist accomplished in Product development, Computer Vision, AI/ML, Deep Learning, Finance, Data Analytics, AWS, Kubernetes, CI/CD pipelines, Video Analytics, Digital Twins and 3D mapping.
Overview
9
9
years of professional experience
9
9
years of post-secondary education
Work History
Postdoctoral Scientist
GEORGIA STATE UNIVERSITY (USA)
Atlanta
07.2021 - Current
- Led development and deployment of E-2-E ML pipelines for autonomous vehicles using EKF, PyTorch, SLAM and visual Odometry.
- Built customer-level relationship with prospective clients by delivering business pitch for adoption of proposed solutions.
- Synthesized strategies to strengthen Client and Stakeholder relationships, defined business strategies.
- Supervised team of 15+ developers, PhD students and interns and using platforms like SCRUM, Agile, JIRA.
- Worked independently on Machine Learning frameworks and pipelines using C++, Python and testing pipelines using Cloud Automation, CI/CD and MLFlow.
- Developed data analytics solutions for hand-rehabilitation of paralytic patients by recommending them solutions for faster recovery using Deep Learning Algorithms such as YOLOV5 and Fast RCNNs.
- Wrote and published peer-reviewed articles concerning findings and highlighted possible applications for findings
Team Lead/Scientist
Agency of Science, Technology and Research (A*STAR)
Singapore
08.2019 - 08.2021
- Launched real-time obstacle detection and avoidance model for AGVs by using precise localization SLAM, Convolutional Neural Networks (CNNs), Depth perception using LIDAR and Real Sense generated video feeds with 95% accuracy in ROS2 and ROS Kinect environment.
- Spearheaded product ownership for Digital Twin application for Industry 4.0 in collaboration with Procter & Gamble (P&G), Singapore.
- Ideated, scoped and developed Digital Twin web-based application solution for E-2-E supply chain; set Key performance indicators (KPIs) to achieve end-to-end visibility and real-time disruption management using Deep Learning Models CNNs, GANs and autoregressive modelling.
- Deployed Digital Twin app using Google Cloud Architecture and CI/CD automation.
- Designed web-interface (UI/ UX) for user-interactive purchase order system that helped in prior suggestions based on customer’s order history.
- Designed REST APIs to send data information about purchased items to Raw-material server (InfluxDB, MySQL DB).
- Built customer-level relationship with prospective clients such as P&G, Coca-Cola etc. by delivering business pitch for adoption of the proposed solutions.
- Managed team of 10+ employees, overseeing hiring, training and professional growth of employees using SCRUM, Jenkins and JIRA.
- Synthesized strategies on multiple technical programs with executive management stakeholders; excellent organizational, leadership and analytical skills.
PhD Researcher
Nanyang Technological University (NTU)
Singapore
08.2014 - 08.2019
- Innovated novel computer vision models and solutions on 3D RECONSTRUCTION OF OBJECTS FOR HIGH SPEED AND HIGH ACCURATE MEASUREMENTS.
- Designed structured light FPP system for 3D scanning using well-known calibration (intrinsic and extrinsic calibration) and image enhancement techniques.
- Incorporated GPU acceleration for fringe analysis for high-speed 3D scan; achieved real-time processing speed of 30 frames/sec.
- Analyzed and resolved issues associated with 3D models such as shadowing around curved areas etc. with novel computer vision techniques, achieved 90% accuracy in MATLAB and C++.
- Explored possibility of AI, deep learning neural networks particularly NERF and cloud-based architectures in 3D measurements.
Research Associate Intern
University of Trieste
Trieste
05.2013 - 07.2013
- Analyzed H.264 codec to measure and reduce blocking artifacts in video frames using DCT; monitored real-time video quality using C++.
- Engineered face recognition and matching system (using TensorFlow and NumPy) based on Caltech dataset that analyzed similarity quotient between two images to identify whether they are same or not.
- Verified accuracy and validity of data entered in databases to correct errors.
- Completed research, compiled data and assisted in timely reporting.
Education
Ph.D. - Computer Science And Engineering
Nanyang Technological University (NTU)
Singapore 08.2014 - 08.2019
Bachelor of Science - Electronics And Communication Engineering
LNM Institute of Information Technology (LNMIIT)
Jaipur, India 07.2010 - 05.2014
Skills
Machine Learning
undefinedTimeline
Postdoctoral Scientist
GEORGIA STATE UNIVERSITY (USA)
07.2021 - Current
Team Lead/Scientist
Agency of Science, Technology and Research (A*STAR)
08.2019 - 08.2021
PhD Researcher
Nanyang Technological University (NTU)
08.2014 - 08.2019
Ph.D. - Computer Science And Engineering
Nanyang Technological University (NTU)
08.2014 - 08.2019
Research Associate Intern
University of Trieste
05.2013 - 07.2013
Bachelor of Science - Electronics And Communication Engineering
LNM Institute of Information Technology (LNMIIT)
07.2010 - 05.2014
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