Arvind Kandula@arvindk1896
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8
Events attended
2
Submissions made
Cloud engineering
United States
8 years of experience
About me
I'm a cloud engineer with a strong interest in GenAI. I've participated in multiple hackathons, creating RAG applications that demonstrate the synergy between cloud computing and advanced AI. One of my significant projects is the FinTech Portfolio Optimizer, a GenAI-driven tool designed to help users craft personalized investment portfolios based on factors like risk tolerance, age, financial goals, and investment horizon. By integrating RAG and cloud technologies, this application offers intelligent recommendations and insights to help users make informed investment choices. I'm eager to work with other enthusiasts to explore the possibilities of GenAI and develop innovative solutions across different fields. Skills: Cloud Architecture, AWS, Azure, GenAI, RAG, NLP, Machine Learning, Python, Serverless Computing
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🤓 Submissions
AI FinPlanner
GPT FinanceGPT aims to democratize financial advice through a pioneering fintech application, targeting a vast, untapped market. Utilizing Google's Gemini LLM and Streamlit, it provides personalized financial guidance, making sophisticated advice accessible and affordable. Users input financial data to receive tailored advice and visual portfolio recommendations. This fee-based platform ensures unbiased, quality advice at lower costs than traditional services, empowering individuals to make informed financial decisions. By leveraging AI for user-specific insights and simplifying complex financial concepts, FinanceGPT breaks down barriers to financial planning, promoting inclusivity and financial literacy across diverse demographics.
InvestMate - Mutual Fund Advisor
Investmate is an AI Assistant that lets its user explore our list of mutual funds, and helps in creating a diversified portfolio for wide range of investment objectives. The user can interact with Investmate and ask questions. Investmate can give portfolio based on several different characteristics. Some of them are current age, risk tolerance, and retirement age. Based on answers to these questions, Investmate selects appropriate funds based on investment duration, risk tolerance to select from a wide range of mutual funds. This is targeted towards investment firms and can also target individuals. Mutual fund industry is a behemoth with nearly 33 trillion dollars in assets. There are nearly 160 millions individual investors in US. Even a $5/per month fees with 20% user base in year 5 would give more than 1.8 billion dollars in revenue per year. The goal of this project is to develop a fully-functional OpenAI chat application that illustrates: 1. Streaming OpenAI Assistant responses from the server to deliver real time responses. 2. Customizing the appearance and behavior of your OpenAI chat application. 3. Handling a long thread of messages without losing context. 4. Designing an OpenAI app to work on both mobile and desktop. The InvestMate presents a strong value proposition for investment advisory firms, bridging the gap between vast data quantities and actionable insights.With strategic pricing and targeted marketing, this chatbot is poised for successful market penetration and sustained growth. Technologies used: OpenAI LLM, AI Assistant, RAG, Nodejs, LLM Response Evaluation.
