Dishita Ashar

I am an inquisitive an avid learner who loves exploring new technologies with a goal-oriented approach.

An information technology graduate, I am currently working at Google as a software developer. I am keen about understanding how the design and development and of large scale distributed systems work. I have prior experience with developing machine learning and blockchain based projects as a part of my engineering curriculum and various hackathons I have attended. I am always eager to learn new stuff and believe in giving my all to any task I take up.

Projects

KhabriChain - Decentralized reporting system

Empowering citizens to tip or report crimes anonymouslySolidity, JavaScript, Python, Webhook, Web3, Blockchain, Smart Contracts, React js, sepolia

Skills

Python

Solidity

Machine Learning

HTML5

RESTful API Design

CSS3

Experience

Google - Software Engineer
Baker Hughes - Dital Technology Intern
January 2022 - June 2022
1. Digitized manual as-is processes using PowerApps, Power Automate and Power BI thereby improving visibility and control of leadership along with effective consolidation of data. (120+ workflows processed within 4 months).
2. Prioritized and managed assigned projects using the Clarity PMO tool to standardize project tracking, improving performance by about 25%.
3. Developed a python script to ensure timely update of data in AWS DynamoDB thereby mitigating critical vulnerabilities and enhancing system efficiency by 60%.
4. Classified documents into 10+ categories to extract required data by leveraging NLP, OCR and AWS Textract.
Skinzy Software Solutions Pvt - BackendDeveloper Intern
1. Implemented a new feature to retrieve and store images in AWS S3 buckets for Dermalenz, a healthcare application.
2. Coordinated with the frontend team of 4 members to integrate the Django REST API backend with Flutter app.
Google - Software Engineering Intern
1. Worked as a part of the Connectors Platform team under Google Cloud and actively contributed to the development of pivotal components for the eventing feature using Go to enable seamless backend registration and event payload processing.
2. Created a new infra rollout pipeline leveraging the internal CI/CD tool and added modular functions to automate the building of Docker images for different components across various pipelines.
3. Automated the parsing of payload schema from text protos and populating them in the database using a Python script, reducing the manual effort required by ~50%, minimizing errors and improving efficiency.