About Me
Hello! My name is Nisha Patel. I recently moved from India to the US to pursue my Master's in Software Engineering at George Mason University. I have a strong interest in solving complex backend problems and am currently expanding my skills in full-stack development. Before joining GMU, I earned my Bachelor's degree in Computer Engineering from CVM University with a 9.04 GPA.
Academic Journey
I have successfully completed SWE 619 (OO Software Specification), SWE 632 (UI Design), and CS 584 (Data Mining). This semester, I am focused on SWE 621 (Software Architecture), SWE 642 (Web Engineering), and SWE 625 (Software Project Management).
Hobbies & Interests
Outside of programming, I enjoy:
Professional Experience
Software Development Intern
Ekaantik Software Solutions (OPC) Pvt. Ltd. | Jan 2025 – May 2025
- Helped design and build the Ecard App backend using Spring Boot, Kafka, and Kubernetes.
- Integrated real-time chat features using Rocket.Chat and WebSockets with MongoDB.
- Built secure RESTful APIs for user management (login, profiles) using AES-CBC encryption.
- Implemented graph-based features using Neo4j.
- Set up monitoring tools including Prometheus, Grafana, and Loki.
- Deployed Docker containers orchestrated by Kubernetes.
Data Science Intern
Stat Modeller | May 2024 – Jun 2024
- Built FaceSense, a visitor recognition system using React and Node.js.
- Connected the Node.js backend to React for real-time analytics.
- Managed data storage using a MongoDB Atlas cluster.
- Worked on age and gender detection models using Caffe in Python.
- Improved model accuracy for IP camera feeds using OpenCV.
Technical Projects
TalentIQ — AI Hiring Platform
A resume-to-job matching tool. The frontend is built with React/Redux, and the backend runs on Docker containers.
Retail AI (Ongoing)
Building an AI tool for retail analytics, specifically to track customer behavior and predict inventory needs using computer vision.
Emotion-Aware Music Recs
Uses a webcam to detect facial expressions (via OpenCV) and suggests Spotify music based on the user's current mood.
NLP-based Drug Recommendation
Analyzed drug reviews using NLP techniques like lemmatization. achieved 92.3% accuracy in classification using Naive Bayes.
Certifications
- Core Java Specialization (LearnQuest)
- Introduction to Cloud Computing (IBM)
- Introduction to DevOps (IBM)
- Analysis of Algorithms (Princeton University)
- Developing Responsive Web Pages Using HTML5/CSS3 (NIIT)
- Introduction to SQL (University of Michigan)
- Introduction to Linux Commands and Shell Scripting (IBM)
- C Programming with Linux Specialization
- C Programming: Pointers & Memory Management
- Methods and Statistics in Social Sciences (U of Amsterdam)
- Basic Statistics (University of Amsterdam)
- Introduction to Graph Theory (UCSD)
- Discrete Mathematics for Computer Science (Coursera)
- IBM Generative AI Engineering Professional Certificate