Sudip Haldar

AI Researcher

Delhi, Delhi, India0 mo experience

Key Highlights

Hands-on experience with Kubernetes and CI/CD pipelines.
Strong foundation in AI and machine learning workflows.
Passionate about secure cloud architectures and identity-based security.

Stackforce AI infers this person is a Cloud and AI-focused engineer with a strong foundation in security practices.

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Skills

Core Skills

Machine LearningPythonCommunicationMarketing

Other Skills

Data PreprocessingFeature SelectionModel TrainingPerformance EvaluationCloud ComputingGoogle Cloud Platform (GCP)Cloud SecurityDevOpsKubernetesContainerizationCI/CD PIPELINESLeadershipServerless ComputingDATA SECURITY & GOVERNANCEIdentity and Access Management (IAM)

About

I am a CSE (AI & ML) student with strong hands-on exposure to cloud computing, machine learning workflows, and cloud security practices. I have completed multiple Google Cloud Skill Boost programs, gaining practical experience in: • Kubernetes and container orchestration • CI/CD pipelines and cloud-native deployments • Streaming analytics and data engineering • Machine learning data preparation • Sensitive data protection and cloud security governance My technical interests sit at the intersection of: AI / Machine Learning × Cloud Computing × Cybersecurity I am particularly interested in identity-based security, secure cloud architectures, and building scalable, security-aware systems. Alongside academics, I focus on strengthening problem-solving skills (DSA in C++) and applying concepts through real-world projects. I am open to connecting with engineers, mentors, and teams working in AI, cloud platforms, and security-driven environments.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Edunet foundation

AI & Machine Learning Intern

Jan 2026 – Feb 2026 · 1 mo · Remote · Remote

Completed a 6-week AICTE-approved internship in Artificial Intelligence & Machine Learning under Edunet Foundation.
Applied core ML concepts including data preprocessing, feature selection, model training, and performance evaluation.
Worked on a guided project under mentor supervision, solving a real-world problem using machine learning techniques.
Utilized Python and relevant ML libraries to build and validate predictive models.
Successfully delivered final project presentation and met all weekly milestones as per program requirements.
Gained hands-on exposure to industry-relevant AI workflows and structured learning through IBM SkillsBuild platform.

PythonMachine LearningData PreprocessingFeature SelectionModel TrainingPerformance Evaluation