Ayesha.
Highly motivated and detail-oriented software engineer with experience in machine learning, web development, and cloud computing. Proven track record of delivering scalable and efficient solutions. Strong leadership skills with experience in leading teams and organizing events.
Work Experience
Associate Software Engineer Intern
ServiceNow
Engineered a Playbook Summarization modal using Seismic and Now Assist Skill Kit, enhancing workflow clarity by 30% and reducing task dispatch errors. Automated bulk record operations with a multi-record selector and activity definitions, handling 100+ records and cutting manual configuration time by 30%. Enhanced modal interactions by refining communication, error handling, and dispatching, ensuring seamless experience. Collaborated with 3+ cross-functional teams to deliver scalable components, improving workflows and accelerating delivery.
Skills
Projects
DefektGuard
Engineered an AI-driven computer vision pipeline that identified damaged products with 92% accuracy, reducing manual inspection workload by 40%. Accelerated warehouse operations through a React + Material UI dashboard, speeding review and approval cycles by 30%. Deployed a TensorFlow model achieving 95% precision to detect dents, leaks, and tears across 50+ live video streams. Orchestrated a Flask + MongoDB backend processing 10,000+ product logs for SKU-level traceability.
Cyber-Sanrakshak
Spearheaded frontend and backend modules of a centralized, context-aware firewall, delivering a responsive admin dashboard and enabling real-time policy updates. Implemented ML-based anomaly detection, increasing policy accuracy by 25% and reducing false-positive alerts by 25%. Refactored backend architecture for scalability, supporting 50+ nodes and sustaining 1000+ updates/minute.
Enhancing OCT Scans with SRGANs
Applied SRGANs to upscale 1,000+ low-resolution retinal scans, improving medical analysis accuracy by 30%. Incorporated perceptual loss with VGG-19, achieving 2x sharper and more realistic outputs compared to baseline. Developed a training pipeline: downsampled HR images (4x), trained generator and discriminator across 50+ epochs, reducing model error by 25%. Enabled clearer OCT visualizations, supporting ophthalmologists in diagnosing 100+ cases more accurately.
Education
Bachelor of Technology in Computer Science
Indian Institute of Information Technology and Management - Gwalior
CGPA: 8.71