Anushwathi Ranganathan

AI & Data Science undergraduate driven by full-stack software engineering, experienced in building backend systems on AWS, intuitive front-end interfaces, and wireframe-driven design, combined with an emerging focus on integrating AI-driven capabilities into scalable, production-ready software.

Artificial Intelligence Trainee at Infosys SpringBoard (2026-05 – 2026-07)

• Completed the AI EMPOW(H)ER program, gaining mentor-guided experience across machine learning, computer vision, and deep learning fundamentals.
• Worked on guided mini-projects applying core ML and computer vision techniques, reinforcing practical model-building and evaluation skills.

Gen AI Developer Internship at Neuro Stack (2025-08 – 2026-04)

• Architected AWS serverless pipelines (Lambda, S3, Cognito), cutting deployment time by 40% while building real-time dashboards and automated backend workflows that reduced manual effort by 60%.
• Engineered an AI-driven cybersecurity system that reduced detected threats by 45%, alongside network optimization models to improve system latency.

AI/ML Trainee at KGXperience (2023-06 – 2025-04)

• Contributed to backend logic and system integration for an autonomous mobile robot, connecting perception, mapping, and navigation modules into a unified pipeline.
• Supported path-planning optimization and validation workflows, improving navigation efficiency across simulated test environments.

B.Tech in Artificial Intelligence & Data Science – KGISL Institute of Technology (2027-05)