Cert Prep: CompTIA Security+ Exam (SY0-501): The Basics

NVIDIA Deep Learning Institute

Introduction to Big Data

Selected as a student facilitator under Google Explore ML Program to learn, practice, teach and prepare ML enthusiasts in college. Conducted 7 workshops educating over 100 students.

Explore ML Program Facilitator

Mentored students and helped them prepare for the 1 Million Women To Tech Summer of Code. 

Mentor

Worked as a member of core team to educate people about artificial intelligence and machine learning. 

Core Team

Bachelor of Technology - BTech

Tasks Platform team in Office Product Group

Software Engineer

- Joined the Security and Compliance Division of Office Fundamentals Team, Microsoft Hyderabad.
- Aggregated data from azure storage queue and ADO Git REST APIs to collect metadata about bypassed pull requests and pushes.
- Implemented checks and automated code reviews to detect anomalies in office code check-ins. Created a Power BI dashboard to display the results.
- Analysed the associated data using statistical techniques, used t-SNE and PCA for visualization and implemented outlier detection algorithms like unsupervised KNN, Isolation Forests, etc.

Software Engineer Intern

- Built a pipeline to integrate Named Entity Recognition and Relationship Extraction from legal documents using BERT for language modelling and BiDirectional LSTM model.
- Developed a module to extract clothing type and color from street style outfits using multilabel classification.

Machine Learning Intern

- Developed a system for monitoring daily employee attendance using Java, Angular and MySQL.
- Developed scalable APIs to fetch data related to different assets and their metrics and handled raw data.
- Designed an analytics workbench and dashboard to monitor different assets and their metrics e.g. distance, estimated fuel, hours run, etc. over time.

- Worked on using AI to understand the repercussions on the vulnerable population during pandemics and enabling data-driven policy-making in collaboration with Project Work Groups and AI For Peace, UN.
- Managed a team of 10 people to create a dataset of policy responses against the Coronavirus pandemic, combining economic, healthcare and containment policies.
- Conducted data-driven impact-analyses on how the policies have affected vulnerable populations in terms of healthcare access, wage loss, employment loss and domestic violence. 
- Correlated policies with vulnerable groups, evaluated government response and the effectiveness of each policy.

Lead ML Engineer

- Worked on detecting forest fire outbreaks to avoid disastrous deforestation in collaboration with Sintecsys.
- Wrote script to collect 100K+ landscape images with forest fires. Used hashing to remove identical images. 
- Used CNN, transfer learning using ResNet and VGGNet for classification to get an accuracy of 95%. 
- Implemented semantic segmentation using DeepLab V3 and UNet to detect segments of smoke in the images and attained a mean IoU score of 80.

Junior ML Engineer

- Worked on multimodal emotion recognition, modality feature extraction and modality fusion techniques at Interactive Technologies and Multimedia Research Lab, IIIT Allahabad under Prof. Anupam Agrawal.
- Developed feature extraction techniques for facial expressions, body gestures, voice and spoken sentences from videos. 
- Developed neural network architectures like transfer learning using CNNs and RNNs for emotion classification. 
- Worked on decision level and feature level fusion for combining the different modalities.
- Evaluated performance of model on multimodal emotion datasets like FABO, CREMA-D, GEMEP, Polish dataset, etc.

Research Intern

- Worked on Multimodal Emotion Recognition on Polish data under Dr. Sridhar Swaminathan. 
- Extracted the features of body motion, facial expression and speech from videos of Polish actors.
- Used neural network models to classify the data into one of the seven emotions in each modality of data.
- Combined all the modalities using weighted average approach to get the final result.

Office Fundamentals Security and Compliance Team

Engineering Systems 365 in Office Product Group

- Developed a data visualization website using Python, Django, Matplotlib, Seaborn and Plotly.
- Using this website, a variety of interactive graphs can be built from tabular data, which is the input query dataset, and filters can be applied to the data for better analysis.

Software Developer Intern

Software Engineer 2

Software Engineer II at Microsoft

Know about Kritika Rupauliha’s work experience, education, bootcamps, certifications, and much more. Kritika Rupauliha