SMSiddhi Mule
@siddhimule
Aspiring software engineer with expertise in data analysis and machine learning.
United StatesWhat I'm looking for
I am currently pursuing a Master of Computer Science at North Carolina State University, where I have maintained a GPA of 3.7. My academic journey has equipped me with a solid foundation in various technical domains, including Database Management Systems, Automated Learning, and Neural Networks. I hold a Bachelor of Technology in Information Technology from K. J. Somaiya College of Engineering in Mumbai, where I graduated with a GPA of 8.71.
In my professional experience, I have worked as a Software Engineer at the Moise A. Khayrallah Center for Lebanese Diaspora Studies, where I designed scalable backend pipelines and engineered custom React components, significantly enhancing system reliability and performance. My internships have allowed me to lead innovative projects, such as developing a machine learning model for domain classification that achieved a 94% accuracy rate and creating a real-time inventory management system that improved tracking efficiency by 30%.
Beyond my technical skills, I am passionate about mentoring and community engagement. I have guided over 50 students in machine learning, contributing to their successful project deployments and co-authoring research publications. I strive to cultivate a vibrant data science community through organizing seminars and hackathons.
Experience
Work history, roles, and key accomplishments
Software Engineer
Moise A. Khayrallah Center for Lebanese Diaspora Studies
Jan 2024 - Present (1 year 5 months)
Designed scalable backend pipelines to process over 1000 daily document uploads using FastAPI, Celery, Elasticsearch, and AWS, enhancing reliability by 40%. Engineered custom React hooks and reusable components in a modular architecture, reducing frontend code duplication by 30%.
Full Stack Development Intern
Levyne
Feb 2021 - Present (4 years 4 months)
Automated high-resolution image storage workflows using AWS S3 pipelines with background removal, cutting latency by 20%. Revamped the company website using React, TypeScript, and Next.js, to boost performance and decrease load times by 20%.
Research & Development Intern
KJSCE
Oct 2020 - Present (4 years 8 months)
Led the Domain Classification for the Web project by developing a machine learning model to categorize websites into sixteen distinct classes, achieving 94% classification accuracy. Developed a keyword-based scoring and visualization model using the SIR epidemic framework, GloVe embeddings, cosine similarity, and D3.js to analyze semantic relationships in textual data.
Education
Degrees, certifications, and relevant coursework
NUNorth Carolina State University
Master of Computer Science, Computer Science
Grade: 3.7/4.0
Activities and societies: Relevant Coursework: Database Management Systems, Automated Learning & Data Analysis, Object-Oriented Design & Development, Neural Networks, Automated Software Engineering, Experimental Statistics, Computer Networks.
Pursued a Master of Computer Science degree with a strong academic record, achieving a GPA of 3.7/4.0. Focused on advanced topics including Database Management Systems, Automated Learning & Data Analysis, and Neural Networks.
KEK. J. Somaiya College of Engineering
Bachelor of Technology, Information Technology
Grade: 8.71/10.0
Activities and societies: Relevant Coursework: Data Structures, Algorithms, Cloud Computing, Software Testing & QA, Machine Learning, UI/UX.
Completed a Bachelor of Technology in Information Technology, earning a GPA of 8.71/10.0. Key coursework included Data Structures, Algorithms, Cloud Computing, and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
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