Vaishnavi Kamdi

AI Researcher

Washington, District of Columbia, United States4 yrs 10 mos experience

Key Highlights

Expert in machine learning and cloud technologies.
Developed innovative solutions for regulatory document traceability.
Proficient in AWS and security testing methodologies.

Stackforce AI infers this person is a Machine Learning and Cloud Computing specialist with a focus on SaaS and Cybersecurity.

Contact

vkvaishnavi7kamdi@gmail.com LinkedIn

Skills

Core Skills

Machine LearningSoftware DevelopmentCloud ComputingSecurity Testing

Other Skills

AWSAWS GlueAWS S3Amazon EC2Amazon RedshiftBurp SuiteC++CICDComputer ScienceComputer VisionData AnalysisData AnalyticsData MiningData ScienceData Validation

About

Hi there! I'm passionate about leveraging machine learning and cloud technologies to solve real-world challenges. I'm currently pursuing my MS in Computer Science at the George Washington University. Always open to networking and exploring collaborative opportunities in tech!

Experience

4 yrs 10 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr

Current Experience

Schnell ai

AI Engineer Intern

Jun 2025 – Present · 1 yr · Washington, District of Columbia, United States · Remote

Pioneering a traceability solution for regulatory documents by leveraging similarity search on vector embeddings; actively researching & developing a domain-specific embedding model to overcome the limitations of generic models and accurately capture nuanced regulatory language.
Designed & implemented key software solutions, including a full-stack web application to manage traceability between Jira, GitHub, & compliance documents, & an automated technical report generator from Jupyter notebooks with Ollama.

similarity searchvector embeddingsfull-stack web applicationautomated report generationOllamaMachine Learning+1

Accenture

Packaged App Development Associate

Jul 2023 – Jul 2024 · 1 yr · Pune, Maharashtra, India · On-site

Designed and implemented robust AWS solutions by deploying and managing Amazon EC2 instances, optimizing data warehousing with Amazon Redshift, and ensuring the reliability of relational databases with Amazon RDS.
Utilized AWS Glue to streamline ETL processes, resulting in faster data integration and improved overall system performance, while ensuring seamless data flow across various AWS services.
Executed comprehensive security testing on web applications, including SQL injection, XSS, IDOR, session management, security misconfigurations, input validation, authentication bypass, and file upload vulnerabilities.
Conducted in-depth security assessments, identifying and mitigating vulnerabilities such as SSRF, CSRF, and rate-limiting attacks, while implementing robust security measures to fortify web application defenses.

AWSAmazon EC2Amazon RedshiftAWS GluePenetration TestingBurp Suite+2

Appsoship

Machine Learning Intern

Jan 2023 – Jun 2023 · 5 mos

The design team needed a faster, more automated solution for GUI element visualization and edge case validation within Figma.
I was responsible for developing a Figma plugin that could incorporate machine learning for real-time visualizations and validations.
Developed the plugin using YOLOv5 for object detection and Google OCR for text recognition, integrated it with Google Cloud Vision API and built a scalable backend with FastAPI.
Implemented end-to-end pipeline using Docker and achieved a ~1 second response time, enhanced object detection accuracy by 30%, and improved separation algorithms by 40%, significantly streamlining the design workflow.

Figma plugin developmentYOLOv5Google OCRFastAPIDockerMachine Learning+1