Sidhartha Sunkasari

Experienced Software Engineer with a Master’s degree in Computer Science and 2 years of experience at Amazon. Skilled in designing and maintaining large-scale distributed systems and end-to-end microservices. Passionate about leveraging cloud computing, AWS, Test Driven Development (TDD), CI/CD, and configuration-driven UI to deliver scalable and robust solutions. Actively seeking challenging software engineering opportunities where I can drive innovation and growth.

AI-Powered Tailored Resume Generator using OpenAI Models | Flask, Python, OpenAI, React, Prompt Engineering

• Built a responsive web app using React and Flask, integrated with OpenAI’s API for automated resume creation.
• Generated tailored, ATS-optimized resumes in LaTeX format by analyzing provided job descriptions using GPT models.
• Reduced resume creation time significantly by automating personalization and formatting tasks. Managed backend API calls effectively, ensuring reliable and fast interactions with OpenAI.
• Incorporated responsive design principles with React, ensuring seamless cross-device compatibility and improving user accessibility.

Interactive Textbook Generator | Python, OpenAI, S3, MongoDB

• Developed a dynamic, interactive learning platform using React and FastAPI, integrating OpenAI’s API to generate high-quality, modular educational content.
• Established a scalable cloud architecture with AWS S3 for static content storage and a lightweight metadata database to manage course materials efficiently. Integrated interactive elements such as clickable navigation, code examples, and data visualizations to improve user engagement and learning outcomes.

Projecting Annotations for NER using BERT Transformer | Python, Huggingface, Transformers

• Fine-tuned Model Fine-tuned a BERT Transformer model for Named Entity Recognition (NER) tasks using Python and Huggingface Transformers.
• Annotated and evaluated entities within the CoNLLpp dataset, improving model accuracy through transformer-based techniques.
• Designed a scalable framework enabling NER annotation capabilities for low-resource languages.
• Enhanced entity recognition precision by leveraging advanced NLP methods with transformer architectures.

Interactive Dashboard on West Virginia Drug Epidemic | React, Observable Framework, Observable Plot, D3.js

• Developed interactive dashboards using React, Observable Framework, and D3.js to analyze the West Virginia drug crisis.
• Visualized correlations between socio-economic indicators and drug overdose rates at the county level.
• Leveraged Observable Plot for intuitive, data-driven visual storytelling to enhance public understanding.
• Enabled interactive exploration of regional drug abuse patterns through dynamic charts and choropleth maps.

Interactive Quiz Generator with Automated Parsing | Spring Boot, React, Java 17, AWS S3

• Developed a web-based quiz application enabling teachers to upload quizzes in plain text format, automatically parsed into interactive quizzes.
• Implemented customizable quiz features, allowing users to select quiz length, duration, and timer settings.
• Built the frontend using React, and managed backend quiz parsing and data handling with Spring Boot.
• Improved usability for educators by automating quiz creation and reducing manual formatting efforts.

• Competed individually in Cyber Skyline’s NCL, applying skills in cryptography, OSINT, log analysis, and vulnerability assessment to solve cybersecurity challenges
• Collaborated effectively in team-based NCL competitions, analyzing threats, identifying vulnerabilities, and implementing cybersecurity strategies in simulated environments
• Solved 250+ problems on Leetcode
• Handle: sidhu47
• Coordinated and created problem sets for the annual programming competition of JNTU “Code Poetry”.