Aditi Killedar’s Personal Portfolio
Welcome to my personal portfolio website! This site showcases my journey and accomplishments in the field of computer science and engineering. Below you’ll find an overview of my skills, experiences, projects, and contact information.
About Me
I am a dedicated computer science professional with a Master’s degree from North Carolina State University and a Bachelor’s degree in Computer Science and Engineering from PES University. My passion lies in developing innovative solutions and working on exciting projects that push the boundaries of technology.
Skills
- Languages: Python, C/C++, Java, SQL, HTML, Shell Scripting (UNIX/Linux), JavaScript, TypeScript, Golang
- Tools and Databases: REST APIs, SpringBoot, Flask, RobotFramework, MongoDB, PostgreSQL, Jupyter
- SDLC: JIRA, GitHub, BitBucket, AGILE SCRUM, Cross-functional Collaboration, CI/CD
- Backend/AWS Cloud Tools: Lambda, S3, SageMaker, Q Business, HTTP, JSON, API Gateway
- Data: Numpy, Pandas, Tensorflow, Big Data (Hadoop MapReduce, Spark), SAS, R, Shiny
Experience
Data Analytics Intern - Principal Financial Group (June 2024 - Present)
- Designed and built an MVP to predict enrollment probability of contracts using machine learning.
- Won 1st place in an internal hackathon by creating an advisor chatbot app with AWS services, integrating LLM APIs.
Software Engineer Intern - Zebra Technologies (Jan 2023 - Apr 2023)
- Designed and implemented a multi-threaded parallelization suite, increasing efficiency by 50%.
- Refactored 30,000 lines of Python code to adhere to OOP principles in an AGILE environment.
Data Engineer Intern - Digitory Solutions (Dec 2022 - July 2023)
- Developed a demand forecasting model using Python and MongoDB, improving prediction accuracy by 60%.
Software Engineering Intern - NatWest Group (June 2022 - Jul 2022)
- Constructed a full-stack website to host a Tableau dashboard visualizing real-time KPI indicators.
Projects
Crop Recommendation Farmer’s Dashboard
Developed a web application and chatbot using Flask, MongoDB, React.js, and OpenAI API during a hackathon at HackNC.
CiPE: RAG Generative AI Drug Interaction Portal
Created a Flask-based web platform with Python, MongoDB, and Huggingface for drug information at Hacklytics.
Automatic Math Word Problem Solver
Built a solver using NLP technologies and a fine-tuned BERT model, accepted at RANLP 2023.
Interests
Outside of work, I am passionate about gaming and frequently visit the NC State Gaming and Esports Lab. I enjoy playing a variety of video games, including Valorant, Brawlhalla, and Mario Bros. I am an advocate for inclusive gaming events and love to support diversity in the gaming community.
Feel free to reach out to me through my LinkedIn profile or email me at aditikilledar.work@gmail.com.
Thank you for visiting my portfolio!