Anukriti Singh

Associate Consultant

Bengaluru, Karnataka, India4 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI with a focus on Trustworthy AI and Adversarial Robustness.
Proven track record in developing high-performance AI models.
Strong background in research-driven AI applications.

Stackforce AI infers this person is a specialist in AI and Data Science with a focus on security and healthcare applications.

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Skills

Core Skills

Machine LearningComputer VisionData Analytics

Other Skills

AI securityAdversarial attacks and defencesAdversarial learningArtificial Intelligence (AI)Convolutional Neural Networks (CNN)Creative WritingData AnalysisData CleaningData EngineeringData MiningData ScienceDeep LearningDjangoFew-Shot LearningGit

About

🔍 About Me I am an AI and Data Science enthusiast currently pursuing an MS by Research in Data Science & Artificial Intelligence at IIIT Bangalore ('27). Previously, I worked as an AI Developer at C-DAC Bengaluru for 2.5 years, contributing to projects in computer vision, few shot learning and adversarial robustness. I am currently exploring Zero Shot Object Goal Navigation and GenAI for Vision. My broader interests include Deep Learning, Generative AI, and Trustworthy AI, and I enjoy working on research-driven AI applications. 🚀 Key Interests: ✔ Machine Learning & Deep Learning ✔ Trustworthy AI & Adversarial Robustness ✔ Computer Vision & Generative AI 📩 Let’s Connect! Always open to discussions, collaborations, and learning opportunities in AI!

Experience

International institute of information technology bangalore

Research Scholar

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India

Cdacindia

Project Engineer

Sep 2022 – Jan 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Led the development of 20 attacks for computer vision tasks, optimizing evasion and poisoning attacks, resulting in a 23% increase in attack performance.
Implemented 5 Few-Shot Learning algorithms for ALS disease diagnosis using audio data, achieving a maximum accuracy of 92.38%.
Developed 3 AI models for malware detection through bitmap image analysis achieving accuracy of 91.5% for 26 classes.
Authored comprehensive Functional Requirement Specifications (FRS) and optimized product flow to ensure alignment between technical development and user needs.
Developed an interactive dashboard showcasing analytics for ATM fraudulent transactions using React and
Django.
Contributed to new Project Proposals (successful - 1), Workshops & Trainings.

Trustworthy AIMachine LearningAdversarial learningComputer VisionFew-Shot LearningAI security+5