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Web Developer Machine Learning

Location:
State College, PA
Posted:
April 24, 2025

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Resume:

AISHWARYA KULKARNI

+1-814-***-**** ***************@*****.***

linkedin.com/in/aishwarya-kulkarni-53ba34242/ github.com/aishwaryakulkarni24 EDUCATION

The Pennsylvania State University, University Park August 2023 – May 2025 Master of Science in Computer Science and Engineering GPA: 3.6/4.0 VNR Vignana Jyothi Institute of Engineering and Technology August 2019 – May 2023 Bachelor of Technology in Electronics and Communication Engineering GPA: 3.6/4.0 TECHNICAL SKILLS

Languages: Python, Java, C/C++

Web Development: Flask, Spring Boot, JavaScript, RESTful APIs Data Analytics & BI: SQL, Power BI

Machine Learning & Data Science: TensorFlow, Keras, Scikit-learn, Data Mining Cloud Computing: DevOps, GitHub, Terraform, Azure, AWS Core Competencies: Data Structures & Algorithms, Predictive Modeling, CRUD Operations EXPERIENCE

Web Developer for Aditya Homoeo Clinic – Remote March 2025 – Ongoing

Developed a responsive clinic management system tailored for homeopathic practice, featuring patient record handling, medicine inventory, and doctor profile management using Flask, SQLite, and JavaScript. Engaged with clinic stakeholders to gather functional requirements and delivered a clean, intuitive interface suited for both staff and patients. Prompt Engineer for EdTalkies.com Jan 2025 – Ongoing

Led the integration of AI-powered educational tools into an EdTech platform, designing OpenAI GPT prompts to auto- generate class syllabi, quizzes, exams, and curriculum plans. Streamlined interactive learning workflows by enabling automated content generation and enhancing user engagement through AI-driven assistance. Teaching Assistant – Operating Systems & Intro to Python Programming September 2023 – May 2025 Penn State University – State College, PA

Assisted in the instruction of undergraduate-level lectures for two core Computer Science classes: Operating Systems and Introduction to Python Programming. Conducted weekly lab sessions, taught course content, and assisted students with coding assignments and debugging techniques. Graded assignments, held office hours, and assisted in creating instructional material, enhancing learning outcomes for over 100 students. Web Developer Intern at Verzeo EduTech April 2020 – May 2020

Worked on front-end development using VS Code and back-end integration with Spring Boot, Hibernate, and MySQL. Designed portfolio web pages, an interactive content management system, and CRUD operation web pages. PROJECTS

Medical Report Generation via Causal Intervention (Python, PyTorch, IU-Xray, MIMIC-CXR)

Reproduced and fine-tuned the VLCI model leveraging causal front-door intervention to improve the interpretability of medical image captions. Achieved a BLEU-4 score of 0.190 on the IU-Xray dataset by effectively mitigating cross-modal spurious correlations.

Distributed Parallel File System (C++, gRPC)

Implemented a distributed file system with a token-based mechanism to efficiently manage concurrent file access. Ensured sequential consistency and optimized concurrency, resulting in enhanced performance and reliability under parallel workloads.

Speaker Recognition System (Python, MATLAB, GMM, MFCC)

Created a robust speaker recognition system by extracting MFCC features and employing Gaussian Mixture Models

(GMM) for classification. Achieved improved accuracy in identifying speakers from audio signals across diverse environmental conditions.

Cardiovascular Health Prediction (Python, CNN, Data Mining)

Designed a convolutional neural network-based classification model to analyze ECG signals for cardiovascular risk assessment. Enabled early detection of heart diseases by accurately predicting abnormalities in ECG data. PAPER PUBLICATIONS

Face Mask Detection Using Convolutional Neural Network (ijaresm.com/face-mask-detection-using-convolutional- neural-network)

Implemented an SVM classification model trained on 5000+ images for face mask detection. Published in IJARESM. Design and Implementation of ADALM Pluto SDR Transceiver Using MATLAB & SIMULINK

Published in the 2023 25th International Conference on Advanced Communication Technology (ICACT).



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