Amitash Nanda Email & Phone Number
@teradata.com
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Who is Amitash Nanda? Overview
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Amitash Nanda is listed as Graduate Student Researcher at San Diego Supercomputer Center, a company with 297 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at teradata.com and a matched LinkedIn profile for Amitash Nanda.
Amitash Nanda previously worked as Graduate Student Research Assistant at Berkeley Lab and Graduate Research Assistant at Boolean Lab. Amitash Nanda holds Doctor Of Philosophy - Phd, Machine Learning And Data Science from Uc San Diego Jacobs School Of Engineering.
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About Amitash Nanda
Thank you for visiting my LinkedIn profile. I am a first-year Ph.D. student in the Department of Electrical and Computer Engineering specializing in Machine Learning and Data Science at the University of California San Diego. I graduated from UCSD with a Master's in Electrical and Computer Engineering in spring 2023. With two years of professional Software Engineering experience in R&D and working in AI/ML, I have explored research and development in a product-based company. My experience aligns well with the desired position, and I would make a valuable addition to the firm, providing technical solutions across multiple software platforms.At Accenture, I was responsible as a Software Engineer and contributed to the customization, integration, design, development, and research of software applications. Also, I analyzed data, built machine-learning models, and deployed them in the production environment. I interned with Teradata USA in the summer of 2022 and 2023 and accomplished predicting platform configuration resource usage by modeling Telemetry data from the TCA. I also worked with the Optimization team. I build trustworthy Machine Learning and Deep Learning models to solve big data problems. Primarily develops interpretable AI solutions for different applications. Also, I design and develop AI algorithms for edge devices. My research mainly involves using images and text data and implementing advanced computer vision techniques and large language models. I was instrumental in software development and building a machine-learning pipeline in my last full-time position. I am well versed in using languages like Python, C++, and Matlab; a database like SQL and MongoDB; frameworks like PyTorch, TensorFlow, PySpark, Jenkins, Nvidia cuDNN; libraries like Keras, Theano, DASK, Pandas, OpenCV, and technologies like AWS, GCP, Azure, Linux, GitHub, ETL tools. Moreover, my previous position afforded me a well-rounded skill set. I refined my skill set in two years of experience as a Software Engineer in the following ways:• Collaborating with interdisciplinary teams, ideating and producing innovative approaches.• Working on large-scale data and building AI/ML pipeline. • Conducting Data Science and AI research, from Proof of Concept (POC) to product development.
Listed skills include Embedded Systems, Robotics, Ros, Internet Of Things, and 24 others.
Amitash Nanda's current company
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Amitash Nanda work experience
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Graduate Student Research Assistant
Graduate Research Assistant
Current1. Analyzing large biological datasets to identify Boolean relationships between genes in tissue across different species.2. Designing Computational Approaches with AI-driven engines to accelerate the application of AI and Data Science to pathology and drug discovery.3. Use the BoNE toolkit to analyze the directed graph representation of biological.
Research Volunteer
1. Researched and Worked on creating food networks and models with circadian stability under the supervision of Dr. Satchidananda Panda.2. Collected and processed the data from the application and created interactive network visualization using NetworkX and Bokeh.3. Processed the Genomic Spatial Event, GSE datasets of muscles, and visualized the data using.
Graduate Student Research Assistant
National Energy Research Scientific Computing Center (NERSC) 1. Investigated the state of load-balancing strategies in AMReX and explored Algorithmic Improvements in Mesh-and-Particle Frameworks.2. Developed a novel hybrid load-balancing algorithm combining Knapsack and SFC strategies. Initial investigations into building this algorithm are outlined as the.
Graduate Teaching Assistant
TA Course: ECE 65 "Components and Circuits Laboratory ": Instructor: Saharnaz Baghdadchi1. Facilitated discussion sessions for one hour every week. 2. Conducted Lab for the course, handling two sections, three hours each every week, with 60 students.3. Facilitated office hours, two hours each twice every week, clearing student doubts.4. Graded lab work.
Software Engineer Intern
1. Worked on optimization of Object File Storage (OFS) Teradata-managed files system that resides in Native Object Storage (S3 for AWS).2. Used OFS Primary Index (PI) to take advantage of local aggregation and local join (like a direct-direct join) on the OFS PI table. 3. Generated synthetic data of different situations of PI rereads and simulated the test.
Research Engineer
1. Accomplished predicting platform configuration resource usage by modeling Telemetry data from the TCA.2. Implemented multiple linear regression, gradient boosting, neural network techniques, and integrated REST API.3. Integrated API for accessing data from Teradata Telemetry Collection Agent, analyzed the customer data, performed exploratory data.
Software Engineer
1. Worked as a Software Engineer for Accenture Tech Labs (Application Engineering R&D), contributed to the design, development, and research in robot testing applications. 2. Implemented and executed projects within the Research and Development group. 3. Worked in a team of three people to develop a novel automatic chaotic robot testing application.
Associate Software Engineer
1. Worked as an Associate Software Engineer for Accenture Industry X Services in the Product Life Cycle Management team and contributed to the design, development, automation, and testing for client-specific projects. 2. Worked in a cross and multifunctional team, developing an automation tool for Airbus Product life cycle management functionalities using.
Application Development Associate Trainee
I worked under a 1-month GFT (Green Field Training) program before becoming a full-time employee at Accenture.DURING THE GFT, I PERFORMED THE FOLLOWING CASE STUDY:We (whole team) implemented the application, data and user interface components of the Human Resource System. The entire system consists of a 3-tier application divided into Presentation.
Member
Convenor
- Assist with planning of technical events, competitions, and conferences in the collegeand organize Perception, Annual Techno-Management fest of the college.
- Improve industrial collaborations with the technical clubs of the college.
Special Project Intern
Real-Time Internal Inspection of Pontoons of Floating Roof Tank through Robot - A part of the hardware team to implement a robot, which is to be controlled from localhost and capture image in real time
Research Intern
I was a part of the hardware team, worked on the modelling, communication and configured Jetson TK1 in the autonomous weed removal machine.
Participant
I participated in this event and our team made it to the semifinal level. In one task we were among the top of the 100 teams. Our arm mechanism in the transporter bot theme was well appreciated.
Participant
Industrial Engineering Intern
Acquainted with signal and telecommunication department of Indian Railway.The training involved learning about the various divisions like Electronic Exchange, Datalogger, RRI Siemens, Traffic Controlling, Electronic Interlocking, Rail net, FOIS etc.
Colleagues at San Diego Supercomputer Center
Other employees you can reach at sdsc.edu. View company contacts for 297 employees →
Maryann Klima
Colleague at San Diego Supercomputer CenterSan Diego, California, United States, United States
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Ashley Chavarria
Colleague at San Diego Supercomputer CenterSan Diego, California, United States, United States
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Nodier "Jerry" Tavarez
Colleague at San Diego Supercomputer CenterSan Diego, California, United States, United States
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Taina Coleman
Colleague at San Diego Supercomputer CenterLos Angeles, California, United States, United States
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Hena Ahmed
Colleague at San Diego Supercomputer CenterSan Diego Metropolitan Area, United States
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Seth Malchow
Colleague at San Diego Supercomputer CenterJohnstown, Colorado, United States, United States
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William Johanson
Colleague at San Diego Supercomputer CenterReston, Virginia, United States, United States
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Douglas Fils
Colleague at San Diego Supercomputer CenterSlater, Iowa, United States, United States
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Abbie Bie
Colleague at San Diego Supercomputer CenterSan Diego, California, United States, United States
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Danielle Whitehair, Mph
Colleague at San Diego Supercomputer CenterSan Diego, California, United States, United States
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Amitash Nanda education
Doctor Of Philosophy - Phd, Machine Learning And Data Science
Master Of Science - Ms, Electrical And Computer Engineering
Nanodegree, Ai Programming With Python
Bachelor Of Technology - Btech, Instrumentation And Electronics Engineering
Matriculation And Intermediate, Science
Frequently asked questions about Amitash Nanda
Quick answers generated from the profile data available on this page.
What company does Amitash Nanda work for?
Amitash Nanda works for San Diego Supercomputer Center.
What is Amitash Nanda's role at San Diego Supercomputer Center?
Amitash Nanda is listed as Graduate Student Researcher at San Diego Supercomputer Center.
What is Amitash Nanda's email address?
AeroLeads has found 1 work email signal at @teradata.com for Amitash Nanda at San Diego Supercomputer Center.
Where is Amitash Nanda based?
Amitash Nanda is based in San Diego, California, United States while working with San Diego Supercomputer Center.
What companies has Amitash Nanda worked for?
Amitash Nanda has worked for San Diego Supercomputer Center, Berkeley Lab, Boolean Lab, Uc San Diego Jacobs School Of Engineering, and Teradata.
Who are Amitash Nanda's colleagues at San Diego Supercomputer Center?
Amitash Nanda's colleagues at San Diego Supercomputer Center include Maryann Klima, Ashley Chavarria, Nodier "Jerry" Tavarez, Taina Coleman, and Hena Ahmed.
How can I contact Amitash Nanda?
You can use AeroLeads to view verified contact signals for Amitash Nanda at San Diego Supercomputer Center, including work email, phone, and LinkedIn data when available.
What schools did Amitash Nanda attend?
Amitash Nanda holds Doctor Of Philosophy - Phd, Machine Learning And Data Science from Uc San Diego Jacobs School Of Engineering.
What skills is Amitash Nanda known for?
Amitash Nanda is listed with skills including Embedded Systems, Robotics, Ros, Internet Of Things, Latex, Research, C (Programming Language, and Microsoft Office.
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