Hi, I'm Rishith Gandham, currently working as an AI Engineer at BeProEx in California. I'm based in Beckett Ridge, Ohio, and I have 5 years of experience building AI and ML systems that solve real problems. I started coding in 2016 during my undergrad, and what drives me is the opportunity to build intelligent systems that make a tangible impact. Whether it's helping visually impaired people navigate independently or automating workflows that save teams hours of manual work, I'm motivated by creating technology that actually helps people. I recently graduated from Virginia Tech with a Master's thesis in Computer Science, where I built SMARTGUIDE, a real-time vision system combining fine-tuned object detection, depth estimation, and GPT-4 Vision. We've submitted the paper to an ACM conference. Currently at BeProEx, I'm building multi-agentic AI workflows using LangGraph and LangChain, where different agents collaborate to automate complex tasks. What excites me most about AI is how rapidly it's evolving. I'm passionate about GenAI, agentic systems, and finding new ways to apply these technologies to real-world challenges. I love learning, experimenting with new frameworks, and staying at the cutting edge of what's possible with AI. Previously, I worked at RACE Academy building recommendation engines with Neo4j and XGBoost, deploying complete MLOps pipelines on AWS, and at Wipro developing predictive analytics using LSTM models. Each experience taught me something new and deepened my passion for building end-to-end AI systems.…Hi, I'm Rishith Gandham, currently working as an AI Engineer at BeProEx in California. I'm based in Beckett Ridge, Ohio, and I have 5 years of experience building AI and ML systems that solve real problems. I started coding in 2016 during my undergrad, and what drives me is the opportunity to build intelligent systems that make a tangible impact. Whether it's helping visually impaired people navigate independently or automating workflows that save teams hours of manual work, I'm motivated by creating technology that actually helps people. I recently graduated from Virginia Tech with a Master's thesis in Computer Science, where I built SMARTGUIDE, a real-time vision system combining fine-tuned object detection, depth estimation, and GPT-4 Vision. We've submitted the paper to an ACM conference. Currently at BeProEx, I'm building multi-agentic AI workflows using LangGraph and LangChain, where different agents collaborate to automate complex tasks. What excites me most about AI is how rapidly it's evolving. I'm passionate about GenAI, agentic systems, and finding new ways to apply these technologies to real-world challenges. I love learning, experimenting with new frameworks, and staying at the cutting edge of what's possible with AI. Previously, I worked at RACE Academy building recommendation engines with Neo4j and XGBoost, deploying complete MLOps pipelines on AWS, and at Wipro developing predictive analytics using LSTM models. Each experience taught me something new and deepened my passion for building end-to-end AI systems.WWWW…