I'm Anirudh Singh Sengar, a results-driven AI and machine learning professional with hands-on experience designing, building, and deploying production-grade solutions. I specialize in orchestrating multi-agent systems and retrieval-augmented generation, implementing core ML algorithms, and delivering measurable product and business outcomes. I excel at translating stakeholder needs into scalable architectures and operational workflows, and I thrive in turning research insights into deployable systems. From experimentation to end-to-end data pipelines and CI/CD automation, I bring a pragmatic, collaborative approach that accelerates value for teams and customers.

Anirudh Singh Sengar

I'm Anirudh Singh Sengar, a results-driven AI and machine learning professional with hands-on experience designing, building, and deploying production-grade solutions. I specialize in orchestrating multi-agent systems and retrieval-augmented generation, implementing core ML algorithms, and delivering measurable product and business outcomes. I excel at translating stakeholder needs into scalable architectures and operational workflows, and I thrive in turning research insights into deployable systems. From experimentation to end-to-end data pipelines and CI/CD automation, I bring a pragmatic, collaborative approach that accelerates value for teams and customers.

Available to hire

I’m Anirudh Singh Sengar, a results-driven AI and machine learning professional with hands-on experience designing, building, and deploying production-grade solutions. I specialize in orchestrating multi-agent systems and retrieval-augmented generation, implementing core ML algorithms, and delivering measurable product and business outcomes.

I excel at translating stakeholder needs into scalable architectures and operational workflows, and I thrive in turning research insights into deployable systems. From experimentation to end-to-end data pipelines and CI/CD automation, I bring a pragmatic, collaborative approach that accelerates value for teams and customers.

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Skills

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

GSoC Intern at Eclipse Foundation
September 1, 2025 - September 10, 2025
GSoC intern working on a modular multi-agent system with sub-agents and retrieval-augmented generation to maintain up-to-date repository context, coordinated via an MCP server. Implemented the REPD reconstruction error probability distribution algorithm using autoencoder/decoder networks for probabilistic software defect prediction and anomaly detection with rigorous validation. Built end-to-end data pipelines and GitHub Actions workflows to collect, clean and extract features, enabling reproducible model training, continuous integration and automated analysis.
SEO Specialist at Pure Magic IT Services
September 30, 2024 - September 10, 2025
Developed and implemented on-page, off-page and technical SEO strategies optimizing site architecture, mobile responsiveness and load times to significantly boost organic traffic and search visibility. Authored Web 2.0 content and executed diverse link-building campaigns (bookmarking, ad posts, PDF submissions) while shadowing the technical web team to deepen expertise in site development and domain authority growth.
Sales Intern at Ingram Micro
August 31, 2022 - September 10, 2025
Led a regional MEA survey on Veritas Backup Exec, analyzing human behavior data to produce actionable insights that drove a 20% sales increase.

Education

B.Sc. in Computer Science (Artificial Intelligence) at The British University in Dubai
January 11, 2030 - September 10, 2025

Qualifications

AWS Certified AI Practitioner
January 11, 2030 - September 10, 2025
AI Engineer Associate (Microsoft Certified Azure AI Engineer)
January 11, 2030 - September 10, 2025
Oracle Certified AI Foundations Associate
January 11, 2030 - September 10, 2025
Oracle Certified Generative AI Professional
January 11, 2030 - September 10, 2025

Industry Experience

Software & Internet, Media & Entertainment