Amitash Nanda Email and Phone Number
Amitash Nanda work email
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Amitash Nanda personal email
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.
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Graduate Student ResearcherSan Diego Supercomputer CenterSan Diego, Ca, Us -
Graduate Student Research AssistantBerkeley LabSan Diego, Ca, Us -
Graduate Research AssistantBoolean Lab Sep 2021 - PresentSan Diego, Us1. 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 datasets and compute predictive models.4. Developed a novel deep-learning approach to investigating organoids and designing a real-time accurate medical device.5. Working on Graph Neural Networks to understand boolean implications. 6. Investigating adversarial domain adaptation techniques in healthcare 7. Introduced an original work for gland instance segmentation using Mask R-CNN on colon tissue to diagnose colon cancer. 8. Collaborated to design a lightweight CNN-based deep-learning algorithm that discriminates life-threatening ventricular arrhythmias (reason for sudden cardiac death) from IEGM recordings and deployed on STM32 NUCLEO-L432KC. 9. Researching the nexus of designing real-time frameworks and devices with new architecture.10. Developing an energy-efficient Edge-AI method for workload distribution across edges in a distributed training setup. -
Research VolunteerBoolean Lab May 2021 - Aug 2021San Diego, Us1. 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 a web-based tool called hegemon.4. Analysed the Boolean Network Explorer and learned about directed graph representation of biological datasets with machine learning for predictive computing models.
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Graduate Student Research AssistantBerkeley Lab Jun 2024 - Sep 2024Berkeley, Ca, UsNational 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 first steps toward applying this novel algorithm to a WarpX simulation.
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Graduate Teaching AssistantUc San Diego Jacobs School Of Engineering Mar 2024 - Jun 2024La Jolla, Ca, UsTA 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, midterms, and final exams of over 150 students. -
Software Engineer InternTeradata Jun 2023 - Sep 2023San Diego, California, Us1. 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 cases.4. Designed test cases having bad, good, and mixed data with insertion of 1 billion rows to the Teradata table and further to the OFS table.5. Benchmarked the data results and evaluated the cost of the OFS PI table. 6. Analyzed the best way to access the PI table from the performance metrics like Actual Cost and NOSFile read count. -
Research EngineerTeradata Jun 2022 - Sep 2022San Diego, California, Us1. 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 analysis, and implemented predictive model, predicting platform performance resource usage from configuration and vice versa.
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Software EngineerAccenture Research Sep 2020 - Aug 2021Dublin 2, Ie1. 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, building the first phase prototype. 4. Responsible for being seen as a highly differentiated technology expert in robotics software development, application development, testing, machine learning, and automation. Also responsible for implementing these skills to achieve high-quality deliverables. 5. Researched and devised a state-of-the-art novel chaotic software application to test the robustness of a robot system.6. Contributed to backend GUI design, implemented Gazebo-ROS functionalities and integrated on AWS S3 and RoboMaker.7. Designed, built, and configured applications to meet business processes and applications. Framework: ROS(Robot Operating System) Simulator: Gazebo Open Source 3D simulator Language: Python, C++ GUI Toolkit: Tkinter, PyQt Service: AWS RoboMaker -
Associate Software EngineerAccenture Research Aug 2019 - Sep 2020Dublin 2, Ie1. 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 image and text-based recognition.3. I was responsible for implementing application development, customization, integration, deployment, testing, and automation skills to achieve high-quality deliverables. -3DEXPERIENCE Platform Dassault Systemes-CAA V6 for CATIA1) Bedrock Automation Asset Development:Worked on Automation of the end to end User Stories of Airbus PPR Scenario using Image-based recognition and Text-based recognition.2) 3DXGO Innovation Asset Development:Worked on Customization and Integration using RESTful Web-services and HybridAPP Development using Apache Cordova.
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Application Development Associate TraineeAccenture Research Jul 2019 - Aug 2019Dublin 2, IeI 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, Application and Data layer.My major task was to:-Accumulating the files in the working directory and HRS Participants copy.-To integrate all the individually developed and tested components into an executable application.-Execute the components tested and fix the defects.-Clean and update the MYSQL Query Browser database with the data provided to us by HRS Application.
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MemberHackster.Io May 2017 - May 2020San Francisco, Ca -
ConvenorZairza Apr 2018 - Apr 2019Bhubaneswar, Odisha, In• 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. -
Summer Research InternMidhani Jun 2018 - Jul 2018Hyderabad, Telangana, InA study on temperature control system using Thermocouple. -
Special Project InternIndian Oil Corporation Limited May 2018 - Jun 2018New Delhi, New Delhi, InReal-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 InternEscorts Limited May 2017 - May 2018Faridabad, Haryana, InI was a part of the hardware team, worked on the modelling, communication and configured Jetson TK1 in the autonomous weed removal machine. -
ParticipantE-Yantra, Iit Bombay Sep 2017 - Mar 2018Mumbai, Maharashtra, InI 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. -
ParticipantTexas Innovation Challenge, 2017 Aug 2017 - Jan 2018
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Industrial Engineering InternIndian Railways Jun 2017 - Jul 2017New Delhi, Delhi, InAcquainted 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.
Amitash Nanda Skills
Amitash Nanda Education Details
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Uc San Diego Jacobs School Of EngineeringMachine Learning And Data Science -
Uc San Diego Jacobs School Of EngineeringElectrical And Computer Engineering
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UdacityAi Programming With Python
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Odisha University Of Technology And ResearchInstrumentation And Electronics Engineering
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Dems, RourkelaScience
Frequently Asked Questions about Amitash Nanda
What company does Amitash Nanda work for?
Amitash Nanda works for San Diego Supercomputer Center
What is Amitash Nanda's role at the current company?
Amitash Nanda's current role is Graduate Student Researcher.
What is Amitash Nanda's email address?
Amitash Nanda's email address is am****@****ata.com
What schools did Amitash Nanda attend?
Amitash Nanda attended Uc San Diego Jacobs School Of Engineering, Uc San Diego Jacobs School Of Engineering, Udacity, Odisha University Of Technology And Research, Dems, Rourkela.
What skills is Amitash Nanda known for?
Amitash Nanda has skills like Embedded Systems, Robotics, Ros, Internet Of Things, Latex, Research, C (Programming Language, Microsoft Office, Computer Vision, Github, C, Python.
Who are Amitash Nanda's colleagues?
Amitash Nanda's colleagues are Edward Kipp, Todd Williams, Grace Ortiz, Avery Blas, Siddharth Satyam, Nick Patience, Thanh Nguyen.
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