Nikka Mofid Email & Phone Number

Newport Beach, Ca, Us

Inspiring girls to pursue careers in STEM! Acting as advisor to CodeHERS chapter at my undergrad alma mater, UC Irvine :)https://www.codehers.org/

Mountain View, Ca, Us

Multilingual GeminiWomen@Google Socal-site Lead

Stanford, Ca, Us

Teaching Assistant (CA) for Tech14: From Data to Deployment: Creating Production-Ready Large Language Model Applications

Stanford, Ca, Us

Empowering women in engineering at Stanford!President: 2020-2021, 2021-2022 (relected yay!)Stanford Diversity and Inclusion Grant Reciptient 2019-2022

San Jose, Ca, Us

Worked 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!

Santa Clara, Ca, Us

Spring 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

Stanford, 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

Stanford, California, Us

Paper: 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

Redmond, Washington, Us

Summer 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

Redmond, Washington, Us

Interned 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

Stanford, Ca, Us

Teaching Assistant (CA) for CS240 Advanced Topics in Operating Systems for Professor Dawson Engler in the Stanford Gates School of Computer Science

Stanford, Ca, Us

Adaptive Signal Processing and Linear Systems II

Stanford, Ca, Us

Grader for EE101A Circuits I

Seattle, 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

Irvine, 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.

Falls 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

Irvine, 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/

Irvine, Ca, Us

http://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"

Mission 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.

Master'S Degree, Electrical Engineering - Software And Hardware Systems, Ai Track

Bachelor Of Science (B.S.), Computer Engineering

Bachelor Of Science (Bs), Electrical Engineering, Deans Honors

High School Diploma