Likith Kagita

Dynamic Data Engineer with a proven track record at Cognizant, enhancing system throughput by 25% through innovative IoT solutions. Proficient in Python and data visualization, I excel in creating impactful data workflows and fostering collaboration. My analytical mindset and passion for technology drive successful outcomes in cross-functional projects.

Algorithms and Data Structures, DBMS, Introduction to Python, Math for Data Scientists, Introduction to Data Science, Introduction to Artificial Intelligence, Machine Learning, Distributed and Scalable Data Engineering, Bayesian Data Analysis, Natural Language Processing, Deep Learning, SE, Dean's Scholarship, TS Scholar with Distinction, Won DBS Hackathon

LLM Vulnerability Scanner, Python, NLP, AI Security, MongoDB, Django, 01/01/25, 05/01/25, Developed an automated security testing tool that scans LLM-based web apps and APIs, detecting 5+ critical threats like prompt injection and jailbreak attacks., Implemented a dynamic attack vector repository, improving threat detection accuracy by 30%., Built structured reporting with risk assessments and mitigation recommendations, reducing security analysis time by 40%. Semantic Segmentation using Multitask U-Net, Python, Deep Learning, CNNs, TensorFlow, PyTorch, 12/01/24, Engineered a deep learning model that achieved 15% higher accuracy than single-task models in medical image segmentation., Optimized shared feature learning, reducing computational cost by 20%, making the model more scalable., Integrated CNN-based object detection, improving multi-task efficiency by 25% compared to baseline models.