Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Pratik Gond, an AI-native developer passionate about rapid prototyping, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a strong foundation in LLMs, prompt engineering (few-shot learning, chain-of-thought), and deploying scalable AI solutions with measurable business impact. I excel at turning ideas into production-grade systems, from data pipelines and RAG chatbots to multilingual product recommendations. My experience spans end-to-end research-to-production workflows, observability, and cross-functional collaboration to deliver practical, data-driven results for stakeholders.…Hi, I’m Pratik Gond, an AI-native developer passionate about rapid prototyping, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a strong foundation in LLMs, prompt engineering (few-shot learning, chain-of-thought), and deploying scalable AI solutions with measurable business impact. I excel at turning ideas into production-grade systems, from data pipelines and RAG chatbots to multilingual product recommendations. My experience spans end-to-end research-to-production workflows, observability, and cross-functional collaboration to deliver practical, data-driven results for stakeholders.

Pratik Gond

AI Engineer, Data Scientist, Full Stack Developer, +2





Hi, I’m Pratik Gond, an AI-native developer passionate about rapid prototyping, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a strong foundation in LLMs, prompt engineering (few-shot learning, chain-of-thought), and deploying scalable AI solutions with measurable business impact. I excel at turning ideas into production-grade systems, from data pipelines and RAG chatbots to multilingual product recommendations. My experience spans end-to-end research-to-production workflows, observability, and cross-functional collaboration to deliver practical, data-driven results for stakeholders.…Hi, I’m Pratik Gond, an AI-native developer passionate about rapid prototyping, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a strong foundation in LLMs, prompt engineering (few-shot learning, chain-of-thought), and deploying scalable AI solutions with measurable business impact. I excel at turning ideas into production-grade systems, from data pipelines and RAG chatbots to multilingual product recommendations. My experience spans end-to-end research-to-production workflows, observability, and cross-functional collaboration to deliver practical, data-driven results for stakeholders.

Available to hire

Hi, I’m Pratik Gond, an AI-native developer passionate about rapid prototyping, Retrieval-Augmented Generation (RAG), and multi-agent orchestration. I have a strong foundation in LLMs, prompt engineering (few-shot learning, chain-of-thought), and deploying scalable AI solutions with measurable business impact.

I excel at turning ideas into production-grade systems, from data pipelines and RAG chatbots to multilingual product recommendations. My experience spans end-to-end research-to-production workflows, observability, and cross-functional collaboration to deliver practical, data-driven results for stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

GenAI Intern at Build Fast With AI

April 1, 2025 - July 1, 2025

Built an AI-powered food safety compliance system using LLMs, OpenCV, and SQL to process images from 300+ vendors weekly, automating compliance checks and reducing manual review time. Optimized API call structure to reduce pipeline latency by 10%, enabling smoother large-scale deployments. Developed a RAG chatbot for real-time sales analytics over lakh-row datasets used by 500+ vendors daily, achieving sub-8% latency and near-100% accuracy. Engineered a multilingual product recommendation engine to handle vendor queries in multiple languages. Collaborated via GitHub for version control, resolved critical data inconsistencies, and delivered a production-ready enterprise demo.