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Yadniki Sonawani

@yadnikisonawani

GenAI Engineer specializing in RAG, LLM systems, and computer vision solutions.

India
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What I'm looking for

I seek roles building production GenAI and computer vision systems, collaborating cross-functionally, focusing on scalable deployments, measurable impact, and opportunities to grow in LLM and vision research-to-product work.

I am a results-driven Gen AI engineer with hands-on experience designing and deploying next-generation AI solutions that bridge business needs with research. I combine data science rigor with creative problem-solving to deliver measurable impact.

At e-Zest, I designed and optimized RAG pipelines, built LLM-powered chatbots, and implemented computer vision workflows for automated image/video analysis. My work focused on integrating FAISS vector databases, Hugging Face embeddings, LangChain, FastAPI, and Streamlit to improve response accuracy and context retention.

Previously, I worked as a data analyst intern across gamification and automotive domains, building interactive dashboards with Power BI, Python, and SQL, applying A/B testing and statistical analysis to improve user retention and reporting efficiency. I reduced development and reporting times through practical, production-oriented solutions.

I enjoy turning complex problems into scalable PoCs and MVPs, collaborating with cross-functional teams, and shipping AI-driven products that deliver business value. I prioritize clean deployment patterns, user-centered interfaces, and reproducible pipelines.

Experience

Work history, roles, and key accomplishments

EC
Current

Gen-AI Intern

e-Zest, An Accion Labs Company

Jul 2025 - Present (8 months)

Designed and optimized RAG pipelines integrating LLMs with FAISS vector stores and deployed LLM-powered chatbots and vision workflows, reducing development time for PoCs and MVPs by 30%.

Education

Degrees, certifications, and relevant coursework

DU

D Y Patil International University

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 8.2/10

Activities and societies: Academic projects in machine learning and generative AI, internships in data analysis and GenAI engineering.

Bachelor of Technology in Computer Science and Engineering completed with a CGPA of 8.2/10, focusing on applied machine learning, data analytics, and AI-driven projects.

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