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Available for internships and Full-time opportunities

Pragnya Ambekar

I'm an AI enthusiast

Master's student in Computer Science & Software Engineering crafting innovative solutions at the intersection of AI and real-world applications.

View Projects → Get In Touch

pragnya@portfolio ~

$ cat about_me.txt

I'm passionate about AI and software engineering with a focus on creating impactful solutions. My journey began with my BTech degree where I excelled academically, and has continued at UW Bothell where I'm researching generative AI and content moderation technologies. I love tackling complex problems and building systems that make a difference. When I'm not coding, you can find me exploring new technologies or contributing to open-source projects.

My Skill Set

Python

React

Git

Machine Learning

AWS

SQL

Programming

✓ XML
✓ Java
✓ C/C++

Web Development

✓ Node.js
✓ AngularJS
✓ RESTful APIs

Engineering Practices

✓ Unit Testing
✓ Data Manipulation
✓ Git & Version Control

Projects

Accessibility Web App AngularJS

SwarajyAbility – Job Portal for People with Disabilities

A comprehensive job portal designed specifically for people with disabilities. This platform matches candidates with suitable job opportunities.

Accessible UI with screen reader compatibility
Smart job matching algorithm
Resources for workplace accommodations

NLP Toxicity Detection HuggingFace

Detoxify Comment Analyzer

A toxicity detection tool for analyzing online comments using the Detoxify NLP model from Hugging Face Transformers.

Uses pretrained Detoxify model for real-time analysis
Detects toxic, severe toxic, obscene, threat, insult, and identity hate categories
Clean UI for text input and categorized predictions

Machine Learning Data Analysis Python

Visual Defect Detection in Manufacturing

Built an AI-powered system to detect manufacturing defects using transfer learning with ResNet-50 and Grad-CAM for visual explanations.

Achieved 96.67% accuracy on single-category defect detection
Used Grad-CAM to highlight defect areas visually
Deployed as an interactive Streamlit web app

NLP Email Security Python

Inbox Guard: Spam & Phishing Detection

Developed a lightweight email security tool to classify and block spam and phishing emails using machine learning.

Used NLP and text classification with scikit-learn
Trained on labeled spam/phishing datasets
Deployed as a Flask web app for testing and demos

Experience

June 2025 – Present

Software Engineering Intern

Secure AIs

Building a secure, modular UI components using React, improving responsiveness and reusability across the platform.
Integrating cloud APIs for secure file uploads and metadata validation, reducing user-facing errors by 35%.

React JavaScript Secure APIs Cloud Integration

October 2024 – June 2025

Graduate Research Assistant

University of Washington – Bothell

Conducted NLP-based toxicity analysis on 10K+ Twitch chat messages, detecting hate speech, threats, and identity attacks.
Evaluated transformer models like BERT and DistilBERT, achieving an F1-score of 0.89 and improving label consistency by 35%.

NLP Python Transformers Scikit-learn Pandas

July 2023 - September 2024

Software Developer

Byteridge

Led the front-end development for Swarajyability, a disability job portal, using Angular and TypeScript, improving accessibility by 40%.
Utilized GitHub for version control, and optimized with NgRx, leading to a 30% reduction in bugs and improved platform stability.

Angular TypeScript NgRx Accessibility

Jan 2023 - Apr 2023

Java Developer Intern

Byteridge

Collaborated with the backend team to migrate legacy APIs to Spring Boot, improving code maintainability.
Developed internal tools for log analysis and debugging, reducing QA turnaround time by 40%.

Java Spring Boot Microservices Kubernetes

Achievements

Coding Competitions

Runner-up in Internshala's Web Development Coding Contest, conducted nationwide. Achieved a rating of 4300 on Code Chef, ranking in the top 30% of global coders.

Platform Recognition

Earned 5-star coder badge on Hackerrank, demonstrating proficiency in problem-solving, algorithms, and data structures.

Leadership Experience

Served as Technical Head at Edam, organized hackathons, and guided peers towards internship opportunities in software development.

Professional Certifications

Completed certifications in Full Stack Development, Python, Machine Learning, Programming for Problem Solving, and Android App Development.

Pragnya Ambekar

My Skill Set

Programming

Web Development

Engineering Practices

Projects

SwarajyAbility – Job Portal for People with Disabilities

Detoxify Comment Analyzer

Visual Defect Detection in Manufacturing

Inbox Guard: Spam & Phishing Detection

Experience

Software Engineering Intern

Secure AIs

Graduate Research Assistant

University of Washington – Bothell

Software Developer

Byteridge

Java Developer Intern

Byteridge

Achievements

Coding Competitions

Platform Recognition

Leadership Experience

Professional Certifications

Let's Chat

Pragnya Ambekar