
Nature Trolly
@naturetrolly
I build production-ready LLM, RAG, and federated learning systems for accurate, privacy-preserving AI.
What I'm looking for
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
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
Bachelor of Technology, Information Technology
Grade: 7.8 CGPA
Pursuing a Bachelor of Technology in Information Technology with a CGPA of 7.8.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/priyanshutripathi009Job categories
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