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Kuldeep SinghKS
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Kuldeep Singh

@kuldeepsingh22

GenAI & ML Project Lead at C-NET Infotech who delivered production RAG pipelines and OCR extraction at ~99% accuracy.

India
Message

At C-NET Infotech Pvt. Ltd., I lead GenAI and ML engineering projects, including production RAG pipelines and AI agents that connect LLMs with tools, APIs, and knowledge sources. I also developed an OCR and data-extraction architecture that achieved approximately 99% extraction accuracy.

At Trident Group Ltd., I integrated generative AI into business workflows and built RAG applications that turned unstructured data into reports and insights. I also developed analytics agents and automated business processes.

In my document AI project, I built a multimodal pipeline to extract text, layouts, tables, and structured data from digital PDFs and scanned documents. I also architected a distributed LLM and GPU inference platform that reduced infrastructure and compute costs by 65%+.

Experience

Work history, roles, and key accomplishments

CL
Current

Project Lead — GenAI & ML Engineering

C-NET Infotech Pvt. Ltd.

Mar 2026 - Present (7 months)

Led a team of 12 AI developers and interns, delivering end-to-end Automation, GenAI, RAG, and AI Agent solutions across multiple business use cases. Designed and delivered 5+ production-grade RAG pipelines and implemented LLM inference optimization, increasing inference speed by 65%+ while achieving 95%+ accuracy.

TL

Generative AI Integration & Automation Lead

Trident Group Ltd.

Mar 2025 - Jan 2026 (10 months)

Integrated LLMs and Generative AI into business workflows and automation processes, building RAG-based applications that transform unstructured data into structured reports and insights. Developed AI analytics agents that automated 10+ manual business processes.

TL

Project Coordinator — AI Automation & Solutions

Trident Group Ltd.

Feb 2024 - Mar 2025 (1 year 1 month)

Developed Python automation pipelines connecting operational data with management-level analytics, and built ML solutions for business analysis, prediction, and process automation. Trained tree-based models and applied NLP techniques for text processing and classification.

Education

Degrees, certifications, and relevant coursework

MM

Master’s in Business Administration (MBA)

Master’s in Business Administration (MBA), Business Administration

2022 - 2024

Grade: 71.5%

Pursued an MBA with a score of 71.5%.

BB

Bachelor’s in Business Administration (BBA)

Bachelor’s in Business Administration (BBA), Business Administration

2019 - 2022

Grade: 89%

Pursued a BBA with a score of 89%.

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