Nikka Mofid's Location
Newport Beach, California, United States, United States
Nikka Mofid's Contact Details
Nikka Mofid work email
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Nikka Mofid phone numbers
About Nikka Mofid
I am a Masters student in Electrical Engineering - EECS focusing in Software and Hardware Systems and Artificial Intelligence at the Stanford School of Engineering, passionate about Machine Learning and Systems with diverse experience across Reinforcement Learning, NLP, and Computer Vision. I graduated Magna Cum Laude from the UC Irvine Henry Samueli School of Engineering, double majoring in Electrical Engineering and Computer Engineering. I am interested in new and exciting research and internship opportunities.Feel free to email me at nmofid@alumni.stanford.eduCheck out a few of my projects at: https://scholar.google.com/citations?user=blg6_10AAAAJ&hl=en#
Nikka Mofid's Current Company Details
Machine Learning Engineer
Newport Beach, CA, US
- Website:
- goo.gle/3DLEokh
- Employees:
- 315106
Nikka Mofid Work Experience Details
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Machine Learning EngineerGoogleNewport Beach, Ca, Us
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AdvisorCodehers Apr 2022 - PresentInspiring girls to pursue careers in STEM! Acting as advisor to CodeHERS chapter at my undergrad alma mater, UC Irvine :)https://www.codehers.org/ -
Machine Learning EngineerGoogle Apr 2022 - PresentMountain View, Ca, UsMultilingual GeminiWomen@Google Socal-site Lead
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Course AssistantStanford Continuing Studies Sep 2024 - Dec 2024Stanford, Ca, UsTeaching Assistant (CA) for Tech14: From Data to Deployment: Creating Production-Ready Large Language Model Applications -
President Stanford Graduate Society Of Women EngineersStanford University School Of Engineering Sep 2020 - Jun 2022Stanford, Ca, UsEmpowering women in engineering at Stanford!President: 2020-2021, 2021-2022 (relected yay!)Stanford Diversity and Inclusion Grant Reciptient 2019-2022 -
Machine Learning InternAdobe Jun 2021 - Sep 2021San Jose, Ca, UsWorked as a ML intern at intersection of Adobe Applied Natural Language Processing Research group and Adobe Sensei Machine Learning Platform Summer 2021 :)-Interned on Adobe Sensei Machine Learning team and collaborated with Adobe NLP Research group developing efficient automatic scalable log anomaly detection model for deployment on Sensei platform using Unsupervised Learningefficient automatic scalable log anomaly detection model for deployment on Sensei platform-Unsupervised learning for NLP: Explored deep learning methods including VAE, LSTM, iterative K-means with BERT, Sentence-BERT, ELMo embeddings for anomaly detection on log data in Pytorch for Adobe Machine Learning Platform-Filed Patent - "Scalable Log Anomaly Detection" and developed VAE with custom loss function to detect anomalies in Sensei Error Logs-Spoke at Women at Adobe events and Adobe Intern panel! -
Pytorch Deep Learning InternNvidia Mar 2021 - Jun 2021Santa Clara, Ca, UsSpring internship on the Pytorch Deep Learning Team at Nvidia! https://pytorch.org/-Prototype hyper-optimization of Pytorch BatchNorm2D. utilizing CUDA cooperative groups and a shared memory and register structure to optimize performance for new state-of-art NLP models.-Explore kernel fusion on large deep learning models for NLP and CV (BERT, EfficientNET, VisionTransformer) for improving inference performance -
Graduate Student Researcher - Hazy Research GroupStanford Artificial Intelligence Laboratory (Sail) Apr 2019 - Jun 2021Stanford, California, Us-Working in Professor Christopher Re's Hazy Research Group- Project 1: Applying contrastive learning to NLP tasks in order to improve learning of intentional knowledge in pretrained models BERT/ERNIE for Open Domain Question Answering and Entity Typing. - Project 2: Develop NLP Data Augmentation techniques for BERT based disambiguation model Bootleg to be used in Search Engines.Tools: NLTK, Pytorch, WikiData Knowledge Graphs, BERT, ERNIE, Deep Bidirectional Transformers -
Graduate Student Researcher - Brunskill LabStanford Artificial Intelligence Laboratory (Sail) Dec 2019 - Apr 2020Stanford, California, UsPaper: https://arxiv.org/abs/2006.15757- Applying Deep Reinforcement Learning to help find optimal policies for doctors making decisions between high risk medications- Use OpenAIGymn mountain car to simulate the healthcare situation with expanded state space, use Deep Q network with fully connected layer in simulationsTools: Pytorch, OpenAIGymn, Healthcare simulators
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Software Engineering Intern IiMicrosoft Jun 2020 - Mar 2021Redmond, Washington, UsSummer 2020 - 2021 Interning for a second summer on the Azure Synapse Data Science and ML platform team (Systems + AI)Applying Reinforcment Learning and data science techniques to learn policy for Auto-Scaling of Azure SWL DW Metadata -
Software Engineering InternMicrosoft 2019 - Mar 2021Redmond, Washington, UsInterned on Azure Synapse (Microsoft Cloud Data Science and ML platform) team Summer 2019-2020Summer 2019: Worked on optimizing data distribution for Synapse Data Warehouse, refactored large part of Synapse Analytics warehouse code to optimize Round Robin data distribution to be robust for ML and Big Data applications
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Ca Cs240Stanford University Mar 2020 - Jun 2020Stanford, Ca, UsTeaching Assistant (CA) for CS240 Advanced Topics in Operating Systems for Professor Dawson Engler in the Stanford Gates School of Computer Science -
Grader - Ee102BStanford University Feb 2020 - Jun 2020Stanford, Ca, UsAdaptive Signal Processing and Linear Systems II
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Grader - Ee101AStanford University Jan 2019 - Mar 2020Stanford, Ca, UsGrader for EE101A Circuits I
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Software Engineering InternAmazon Jun 2018 - Sep 2018Seattle, Wa, Us-Interned on Amazon’s Big Data Technologies team in San Diego, California-Worked on creating a Data Lineage Service that will show the upstream and/or downstream lineage of any Data Source inside Amazon’s Big Data Management System “Datanet” which manages Amazon’s Data Warehouse for Amazon and its legal entities- Worked with AWS Neptune, S3, and EC2 to create a Graph Database that would model the lineage tree of Datanet’s Data Sources that could be queried by the Lineage Service -
Undergraduate Research Assistant - Healey GroupUc Irvine Sep 2017 - Sep 2018Irvine, Ca, Us- Research centered around Data Science and Machine Learning and its Applications to the Game of Baseball - Using Statcast Data and a Bayesian model to develop an algorithm for learning the intrinsic value of a batted ball in baseball, separating the effects of outside factors such as weather.- Developing Scripts in MATLAB and SQL to compute pitch trajectories based on Statcast data for use in the testing of the intrinsic model.- Utilizing R to perform clustering, and whitening of Data points, and as well as create HeatMaps. -
Autonomous Aircraft Software Engineering InternNorthrop Grumman Jun 2016 - Sep 2017Falls Church, Va, Us-Interned Summer 2016 and 2017- Interned at Northrop Grumman for two summers in Tactical Autonomous Systems on the Firescout Unmanned Helicopter team with a “Secret” Level clearance-Developed a plugin connecting the Firescout Helicopter Simulator with Xplane and Occulus Rift allowing a person to sit in the helicopter in VR as it flies unmanned missions from the team’s data - Worked on Requirement Verification Testing for the Helicopter using Python and Assembly -Developed an interactive Virtual mapping program in Java to track the flight path of Firescout -Wrote Python Scripts to generate Customer Verification Reports for Firescout -
Undergraduate Research Assistant - Doemer GroupUc Irvine Mar 2016 - Sep 2016Irvine, Ca, Us-Working with PhD students on Parralel SystemC Siimulation on Many Core Architectures-Translating a Vocoder Model from SpecC to SystemC to be used in further Parralel Simulation-Working in SpecC, SystemC, and C++http://www.cecs.uci.edu/~doemer/
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Undergraduate Research Assistant - Gorodetsky GroupUc Irvine Dec 2014 - Apr 2016Irvine, Ca, Ushttp://www.gorodetskygroup.org/Fabricating and studying biomimetic electronics made of the protein "reflectin".Publication:"Photochemical Doping of Protonic Transistors from a Cephalopod Protein"http://pubs.acs.org/doi/abs/10.1021/acs.chemmater.6b00336Presentations:UCI Undergraduate Research Symposium 2014-2015 "Electrical Characterization of Reflectin Isoforms"Grants:2015-2016, $1200 UCI Summer Undergraduate Research Grant (SURP)Project: "Photodoping of Reflectin-Based Devices"
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Engineering InternSaratech Aug 2013 - Sep 2015Mission Viejo, Ca, Us-Helped Redesign the Saratech website using Wordpress; Rewrite all website content on the Saratech page.http://www.saratechinc.com/-Work with engineers in modeling products and parts for various companies; Use programs such as Solid Edge and FEMAP-Act as a teaching assistant for Saratech led training classes for various companiesAt the time, I was the only high school student Saratech had ever hired, and worked alongside engineers with advanced degrees.
Nikka Mofid Skills
Training
Project Planning
Leadership
Public Speaking
Research
C++
Programming
Salesforce.com
Marketing
Femap
Cad/cam
Marketo
Wordpress
Program Management
Analysis
Microsoft Office
Nikka Mofid Education Details
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Stanford UniversityAi Track -
Uc IrvineComputer Engineering
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Uc IrvineDeans Honors
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Corona Del Mar High SchoolHigh School Diploma
Frequently Asked Questions about Nikka Mofid
What company does Nikka Mofid work for?
Nikka Mofid works for Google
What is Nikka Mofid's role at the current company?
Nikka Mofid's current role is Machine Learning Engineer.
What is Nikka Mofid's email address?
Nikka Mofid's email address is nm****@****uci.edu
What is Nikka Mofid's direct phone number?
Nikka Mofid's direct phone number is +170371*****
What schools did Nikka Mofid attend?
Nikka Mofid attended Stanford University, Uc Irvine, Uc Irvine, Corona Del Mar High School.
What skills is Nikka Mofid known for?
Nikka Mofid has skills like Training, Project Planning, Leadership, Public Speaking, Research, C++, Programming, Salesforce.com, Marketing, Femap, Cad/cam, Marketo.
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