Tanisha Majumder
Phone 219-***-**** Envelope *****************@*****.*** linkedin.com/in/tanisha-majumder github.com/tanitanu Map-marker Hammond, IN SUMMARY
Software Engineer with 3+ years of experience designing, developing, testing, debugging, and supporting enterprise software applications. Proficient in C#, .NET Core, ASP.NET Core, C++, Python, SQL, and REST APIs. Experienced across the full software development lifecycle, including requirements analysis, software development, testing, documentation, production troubleshooting, and cross-functional collaboration. M.S. in Computer Science with hands-on experience in machine learning, AI, and computer vision. EXPERIENCE
DXC Technology — United Airlines Account Aug. 2021 – Mar. 2024 Analyst II – Software Engineering Bengaluru, India
– Designed, developed, tested, deployed, and supported enterprise software applications across the full SDLC, contributing to a 15% reduction in post-release defects.
– Developed backend software modules and REST APIs using C#, .NET Core, ASP.NET Core, Entity Framework Core, SQL Server, and AWS Aurora.
– Troubleshot and resolved production software issues using DataDog, Elasticsearch, Kibana, and Quantum Metric, improving application stability and performance.
– Optimized SQL Server databases containing 5M+ records and developed automated reporting solutions, reducing manual effort and data-entry errors by 30%.
– Collaborated with developers, QA teams, and stakeholders on requirements, software enhancements, testing, technical documentation, code reviews, and knowledge sharing. Purdue University Northwest Jul. 2025 – May 2026
Graduate Assistant Hammond, IN
– Supported secure university testing operations by coordinating examinations, troubleshooting operational issues, and assisting students, faculty, and university staff.
PROJECTS
Emotion-Aware AI & Facial Emotion Recognition Dec. 2024
– Developed a real-time computer vision system using Python and OpenCV for facial emotion recognition and Furhat robot integration; evaluated performance through testing, user studies, and statistical analysis. Fake News Detection using NLP and Deep Learning Dec. 2025
– Designed and evaluated machine learning models using TF-IDF, Logistic Regression, Linear SVM, and fine-tuned BERT; deployed an interactive prediction application using Streamlit. Hospital Chatbot Using RAG Technology Dec. 2024
– Developed an AI-powered chatbot using Retrieval-Augmented Generation (RAG) and FAISS semantic search with secure authentication and separate patient and administrator interfaces. Little Lemon Restaurant – Table Booking System Aug. 2026
– Developed a full-stack React application with reusable software components, booking workflows, input validation, and unit testing using Jest and React Testing Library.
EDUCATION
Purdue University Northwest Aug. 2024 – May 2026
Master of Science in Computer Science — GPA: 3.71/4.0 Hammond, IN TECHNICAL SKILLS
Languages: C#, C++, Python, Java, JavaScript, SQL
Software Engineering: .NET Core, ASP.NET Core, Entity Framework Core, REST APIs, Microservices, SDLC, Requirements Analysis, Software Development, Debugging, Production Support Computer Science Fundamentals: Data Structures, Algorithms, Object-Oriented Programming, Operating Systems Fundamentals AI & Computer Vision: OpenCV, Machine Learning, Deep Learning, scikit-learn, Hugging Face Transformers, BERT, FAISS, Streamlit Databases & Cloud: SQL Server, MySQL, AWS Aurora, AWS DynamoDB, NoSQL, AWS, Microsoft Azure Testing & Tools: Unit Testing, Integration Testing, Jest, React Testing Library, Docker, Git, GitHub, Visual Studio, VS Code, Postman, Jira
Monitoring: DataDog, Elasticsearch, Kibana, Quantum Metric Certifications: AWS Certified, Microsoft Azure Certified, Google Data Analytics Certified, Meta Front-End Developer Professional Certificate