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I'm Ravi Chandera, an AI Engineer focused on turning complex data into actionable insights and building scalable AI-powered platforms. I currently work at ConveGenius AI in Ahmedabad, delivering data-driven solutions that enable decision makers to access timely, accurate information. I enjoy collaborating with cross-functional teams to craft secure, cost-efficient AI deployments and create user-centric tools that drive real impact. I thrive on tackling challenging data problems with a mix of machine learning, data engineering, and thoughtful UX. I continually learn new tools and techniques, and I value ownership, clear communication, and delivering practical results that align with client needs.…I'm Ravi Chandera, an AI Engineer focused on turning complex data into actionable insights and building scalable AI-powered platforms. I currently work at ConveGenius AI in Ahmedabad, delivering data-driven solutions that enable decision makers to access timely, accurate information. I enjoy collaborating with cross-functional teams to craft secure, cost-efficient AI deployments and create user-centric tools that drive real impact. I thrive on tackling challenging data problems with a mix of machine learning, data engineering, and thoughtful UX. I continually learn new tools and techniques, and I value ownership, clear communication, and delivering practical results that align with client needs.

Ravi Chandera

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

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I'm Ravi Chandera, an AI Engineer focused on turning complex data into actionable insights and building scalable AI-powered platforms. I currently work at ConveGenius AI in Ahmedabad, delivering data-driven solutions that enable decision makers to access timely, accurate information. I enjoy collaborating with cross-functional teams to craft secure, cost-efficient AI deployments and create user-centric tools that drive real impact. I thrive on tackling challenging data problems with a mix of machine learning, data engineering, and thoughtful UX. I continually learn new tools and techniques, and I value ownership, clear communication, and delivering practical results that align with client needs.…I'm Ravi Chandera, an AI Engineer focused on turning complex data into actionable insights and building scalable AI-powered platforms. I currently work at ConveGenius AI in Ahmedabad, delivering data-driven solutions that enable decision makers to access timely, accurate information. I enjoy collaborating with cross-functional teams to craft secure, cost-efficient AI deployments and create user-centric tools that drive real impact. I thrive on tackling challenging data problems with a mix of machine learning, data engineering, and thoughtful UX. I continually learn new tools and techniques, and I value ownership, clear communication, and delivering practical results that align with client needs.

Available to hire

I’m Ravi Chandera, an AI Engineer focused on turning complex data into actionable insights and building scalable AI-powered platforms. I currently work at ConveGenius AI in Ahmedabad, delivering data-driven solutions that enable decision makers to access timely, accurate information. I enjoy collaborating with cross-functional teams to craft secure, cost-efficient AI deployments and create user-centric tools that drive real impact.

I thrive on tackling challenging data problems with a mix of machine learning, data engineering, and thoughtful UX. I continually learn new tools and techniques, and I value ownership, clear communication, and delivering practical results that align with client needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Work Experience

AI Engineer at ConveGenius AI

May 1, 2024 - November 8, 2025

Built data analysis platform that generates complex insights from relational databases for 6 state officials, reducing data availability time from almost a month to a day through an MCP server for chart generation and dashboard creation. Created a multi-agent pipeline to reason over complex data with 72% accuracy, enhanced by graph RAG and agentic RAG which improved search accuracy by 8%. Integrated user interaction with business logic and a memory feature to learn preferences, improving accuracy by 7%. Reduced costs by 64% through smart preprocessing and optimized caching. Cut latency by 24% using parallelization of key pipeline components.

Deep Researcher Agent at ConveGenius AI

May 1, 2024 - November 8, 2025

Designed and deployed a researcher agent integrating MCP file server and human-in-the-loop workflows to ensure data security while enabling AI adoption, achieving performance comparable to ChatGPT. Built a synthetic benchmarking dataset to evaluate system accuracy against ChatGPT, demonstrating 3% higher accuracy. Deployed three open-source models of varying sizes and implemented a BERT-based router, reducing infrastructure cost by 22% and improving response latency by 13%.