Aneeza S.

• Designing and evaluating a lightweight hybrid Intrusion Detection System for IoT networks to enhance real time anomaly detection and resource efficiency • Collaborate closely with faculty advisor to preprocess network traffic data train supervised and unsupervised ML models and optimize performance • Successfully achieved 93% model efficiency using a combined approach of decision trees and autoencoders improving detection accuracy and reducing false positives • Utilize Python Scikit learn and Pandas for data modeling experimentation and reporting with ongoing contributions toward academic publication and security research impact

• Manage daily operations of the computer lab by maintaining hardware devices software systems and technical inventory across 30 plus workstations • Provide real time technical support to students and faculty troubleshooting issues and ensuring seamless functionality of lab resources • Collaborate with the IT team to roll out software updates and optimize lab performance based on user needs and system feedback • Take ownership of time sensitive technical requests while balancing multiple tasks improving response efficiency and user satisfaction

• Led the development and integration of AI powered features into the core app to improve user engagement and personalized coaching experiences • Defined product requirements user stories and success metrics for new AI chatbot features in collaboration with design and engineering • Managed sprint planning backlog prioritization and roadmap alignment to ensure timely delivery of features and alignment with business strategy • Conducted competitive analysis and gathered user feedback to iterate on product features improving usability and retention across key user segments

• Built 12 plus AI driven applications with a strong focus on generative AI RAG pipelines and machine learning solutions tailored to real world use cases • Led product development from ideation to deployment defining user stories setting feature priorities and managing iterative sprints • Built and optimized full stack tools using Python TypeScript Pinecone and Groq while integrating advanced LLM models for intelligent automation • Worked cross functionally with design engineering and mentorship teams to align technical execution with product vision improving delivery speed and user satisfaction

• Built 5 plus AI powered web applications using Next.js React.js Node.js and MongoDB focused on solving real user needs • Defined product features created user flows and translated requirements into functional prototypes in fast paced agile sprints • Applied industry best practices in generative AI while building scalable full stack tools integrated with modern APIs • Collaborated with mentors and engineers to iterate quickly collect feedback and improve product usability and performance

•Spearheaded daily product operations across omni channel services including visual merchandising packaging coordination and seasonal launches • Collaborated with inventory floor and merchandising teams to ensure smooth rollout of product displays and store updates across departments • Coordinated weekly priorities with store managers and led a 5 member associate team to ensure task completion and cross departmental support • Tracked product lifecycle feedback collaborated with back of house teams to manage high volume stock rotations and ensured packaging accuracy and visual consistency • Championed efficiency by refining team workflows improving stockroom to sales floor turnaround by 20 percent • Served as lead associate for training mentoring and onboarding of new team members with a focus on fast paced customer centered environments

• Drove brand positioning strategy for recruitment campaign by partnering with organizational leadership to define messaging and value proposition, increasing brand awareness by 5% and expanding program visibility across target audience •Led end to end campaign execution using Asana based project management to coordinate cross-functional team, creative development, and stakeholder feedback, ensuring on time delivery of recruitment video viewed by 2,000+ community members •Executed go to market launch strategy by presenting deliverables to leadership, securing stakeholder approval, and coordinating multi channel rollout that drove measurable increase in program inquiries and member engagement