The Nest

Nurture
Explore
Study
Transform

MAJUS never stops learning and innovating…

MAJUS never stops searching for ways to help our clients be successful. The NEST (Nurture, Explore, Study, Transform) Lab at MAJUS Consulting serves as the driving force behind innovation, blending Agile methodologies with cutting-edge technology to accelerate discovery, refinement, and implementation. The NEST Innovation Team—comprised of practice area leads, technical experts, and solution architects—collaborates closely with project teams, program directors, and stakeholders to explore emerging technologies, optimize existing tools, and introduce transformative solutions tailored to project needs.

The MAJUS NEST provides a space for our employees to proactively integrate innovative concepts and technologies into our solutions. We use the lab to test and integrate tools, techniques, and processes used by our customers to find efficiencies and improvements; and also to test out and integrate innovative new tools, techniques, and processes we identify based on emerging trends. The Nest allows us to continually increase our employees’ knowledge and proficiencies and provides them a risk-free space to turn proof-of-concepts and pilots into real-world solutions for our customers.

INTERNSHIPS

The NEST also facilitates our internship program. As part of the Nest and the Centers of Excellence, we provide internships for students to gain important on-the-job skills through our MAJUS Internship Program. Our internships are provided year-round and provide an opportunity for selected interns to work on company initiatives, learn about the latest technologies, and gain experience preparing and providing presentations and demonstrations. MAJUS provides equal employment opportunities (EEO) to all intern applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

Arvin Mungara

Arvin Mungara is a Computer Science student at the University of Maryland, Baltimore County, where he is focusing on Artificial Intelligence and Machine Learning. He brings a strong technical foundation in Java, C++, Python, HTML, data structures, algorithms, recursion, and object-oriented programming. Through coursework and projects, Arvin has developed hands-on experience building network simulations, linked-list-based applications, and encryption utilities. He also completed Udacity’s AI Programming with Python Nanodegree, gaining experience with NumPy, Pandas, Matplotlib, PyTorch, neural networks, gradient descent, and image classification. Arvin is passionate about building scalable, efficient solutions and applying his technical skills to real-world technology challenges.

Mika Persaud

Mika Persaud is a Computer Science student in the Honors College at the University of Maryland, College Park, with a minor in Asian American Studies. Mika has experience across software development, databases, web applications, artificial intelligence, operating systems, computer vision, and cloud computing. Their technical toolkit includes Python, Java, C++, JavaScript, SQL, HTML, CSS, Node.js, Django, MongoDB, PostgreSQL, REST APIs, and machine learning algorithms. Mika has built full-stack web applications using Node.js, Express, MongoDB, APIs, and responsive front-end design, and also developed a website for the University of Maryland Paints and Shells Art Club. Mika brings strong analytical skills, attention to detail, collaboration, and a clear interest in AI, cybersecurity, web development, cloud computing, and game design.

Astawaye Seyoum

Astawaye Seyoum is an Information Sciences & Technology student at Penn State University, focused on Enterprise Technology Integration. He brings hands-on experience in AI prototyping, cloud platforms, network configuration, cybersecurity analysis, and systems integration. His technical background includes Python, SQL, AWS, IBM watsonx, GitHub, Visual Studio Code, Cisco Packet Tracer, Cloudshark, VLANs, and network diagnostics. Through the IBM SkillsBuild AI Experiential Learning Lab, Astawaye is developing an AI prototype using IBM watsonx, open-source technology, Agile development, and design thinking. His project experience also includes enterprise network simulation, cybersecurity risk analysis, user-centered application design, and Python programming. Astawaye also brings strong leadership, customer-facing, and operational experience through campus recreation, summer camp technology support, THON philanthropy, and professional hospitality roles.

Katie Wen

Katie Wen is an Information Systems student at Carnegie Mellon University with experience at the intersection of product development, data analytics, UX design, and technology strategy. She has worked with tools and technologies including Python, JavaScript, TypeScript, HTML, CSS, Firebase Firestore, Power BI, Tableau, Figma, Adobe Creative Cloud, JIRA, Notion, and Agile Scrum. Katie has contributed to full-stack product development through the Technica Fellowship, where she co-built ThinkTree, a hackathon collaboration platform, and led Agile workflows including user stories, sprint backlogs, stakeholder demos, and front-end development. She has also analyzed more than 50,000 opioid-related data records as a Business Analyst Intern and led a website redesign that improved usability. Katie brings a strong blend of technical ability, product thinking, UX research, data visualization, and leadership.