Vinith Koyada

About Vinith Koyada

Python GPT Developer with a strong background in data science and a passion for enhancing Retrieval-Augmented Generation (RAG) systems and developing intelligent AI solutions. I specialize in creating innovative features, automating workflows, and deploying large language models (LLMs) to tackle complex challenges and deliver impactful results. With expertise in data analysis, AI/ML, and backend development, I excel at transforming raw data into strategic business assets-**Technical Skills**-**Programming:** Python -**Databases:** MySQL, PostgreSQL, MongoDB, Vector Databases (Pinecone, Qdrant)-**AI/ML:** scikit-learn, PyTorch, OpenAI, LangChain, LlamaIndex -**Data Analysis:** Pandas, Seaborn, Matplotlib -**Backend:** Flask, FastAPI, WebSockets -**Deployment Tools:** Docker, Docker Compose -**Audio Processing:** Speech-to-Text (STT), Text-to-Speech (TTS), Audio Codecs -**Experience**-**Voice Calling System:** Developed a multilingual voice calling feature using WebSockets and third-party APIs (Azure, Google Cloud, Deepgram, ElevenLabs) for agentic workflows, implementing speech-to-text (STT) and text-to-speech (TTS) capabilities with real-time event handling and optimized audio codec processing-**RAG System Enhancements:** Improved RAG technologies by implementing chunking strategies, custom vocabulary, prompting techniques, long-term memory, and reranker models for cutting-edge AI solutions-**AI Agent Development:** Developed agents using frameworks like LangGraphs and LlamaIndex workflows to optimize complex processes, such as email automation and password resets-**AI Chat Tools:** Designed and enhanced AI chat tools, enabling advanced query handling and addressing real-world applications effectively-**Recommendation Systems:** Built robust user recommendation systems that increased engagement and retention by leveraging innovative algorithms-**Predictive Modeling:** Created models such as RFM, purchase propensity, and LTV to solve analytical challenges in e-commerce-**Keyword Analysis:** Performed in-depth keyword analysis to gain actionable insights into data trends-**Performance Enhancement:** Elevated performance metrics by improving accuracy and optimizing predictive models-**LLM Deployment:** Deployed large language models (LLMs) on enterprise-grade servers using tools like Ollama, vLLM, and NIMS containers.

Experience

1. Python Genai Developer

   Fluid AI

   May 2024 — Present

   In my role as a Python GPT Developer at FluidAI, I focus on improving Retrieval-Augmented Generation (RAG) systems and building intelligent agents to enhance enterprise AI applications. I also develop innovative features like multilingual voice systems to solve complex challenges.**Key Responsibilities and Achievements:**-**Voice Calling System:** Built a multilingual voice calling feature using WebSockets and third-party APIs (Azure, Google Cloud, Deepgram, ElevenLabs), implementing speech-to-text (STT) and text-to-speech (TTS) capabilities for agentic workflows-**LLM Deployment:** Deployed large language models on GPU servers using tools like Ollama, vLLM, and NIMS containers, ensuring scalable and efficient performance-**AI Agent Development:** Developed intelligent agents using LlamaIndex workflows and LangGraphs to automate tasks like email automation and password resets, improving user interactions-**RAG System Enhancements:** Improved RAG systems by integrating long-term memory, custom vocabulary, and reranker models for accurate and personalized responses-**Email Automation Bot:** Designed an email automation bot to streamline customer communication and improve operational efficiency-**Password Reset Agent:** Built a secure password reset agent using LlamaIndex workflows, ensuring a seamless and secure user experience.**Technologies and Tools:**-**Programming:** Python -**AI/ML Frameworks:** LlamaIndex, LangChain, LangGraphs -**APIs & Tools:** Azure, Google Cloud, Deepgram, ElevenLabs, WebSockets -**Deployment:** Ollama, vLLM, NIMS containers, Docker -**Databases:** Pinecone, Qdrant

Education

• Sri Chaitanya College of Education

  Intermediate school, High School/Secondary Diplomas and Certificates

• Kakatiya university college of engineering and technology

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

• Guvi-Zenclass

  Datascience Bootcamp, DataScience