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Nature TrollyNT
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Nature Trolly

@naturetrolly

I build production-ready LLM, RAG, and federated learning systems for accurate, privacy-preserving AI.

India
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What I'm looking for

I'm looking to build reliable AI products involving LLMs, RAG, prompt engineering, and privacy-preserving machine learning, while collaborating with engineering teams on scalable production systems.

I've built and optimized LLM prompt pipelines at Scalar AI, improving response accuracy and contextual relevance by 28%.

I developed few-shot prompting frameworks and instruction-tuning datasets to reduce hallucinations in domain-specific technical queries. I also fine-tuned Llama-3 and Mistral with LoRA and QLoRA on custom domain corpora.

I collaborated with engineering teams to integrate LLM endpoints into REST microservices handling more than 50,000 daily inference requests with minimal latency.

My projects include an auditable privacy-preserving federated learning framework, a hybrid-search RAG system with 35% higher top-3 retrieval relevance, and an interactive dashboard for automated data insights and predictive visualization.

Experience

Work history, roles, and key accomplishments

SA

Machine Learning & Prompt Engineering Intern

Scalar AI

Jun 2025 - Dec 2025 (6 months)

Engineered and optimized prompt pipelines for LLMs, improving response accuracy by 28%. Developed few-shot frameworks and fine-tuned open-source models using LoRA/QLoRA, integrating endpoints into microservices handling 50,000 daily requests.

Education

Degrees, certifications, and relevant coursework

Dr. A.P.J. Abdul Kalam Technical University logoDU

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology, Information Technology

Grade: 7.8 CGPA

Pursuing a Bachelor of Technology in Information Technology with a CGPA of 7.8.

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