Yadniki Sonawani
@yadnikisonawani
GenAI Engineer specializing in RAG, LLM systems, and computer vision solutions.
What I'm looking for
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
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%.
Data Analyst Intern
The Gamification Company
Mar 2024 - Aug 2024 (5 months)
Analyzed player behavior and engagement metrics, applied A/B testing and statistical analysis to optimize gamification strategies and boost user retention and participation.
Data Analyst Intern
Tata Motors
Jun 2023 - Aug 2023 (2 months)
Developed Power BI dashboards integrated with Python and SQL to deliver real-time workforce insights, cutting manual reporting time by 40% and improving data accessibility by 60%.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Job categories
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