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I'm an AI Engineer with a Master's degree in Data Science from the University of North Texas, passionate about building production-ready AI applications using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Data Science, Machine Learning, and Cloud technologies. I enjoy building intelligent systems that combine LLMs, AI agents, vector databases, and modern backend technologies like FastAPI, Flask, Docker, AWS with automated CI/CD pipelines to solve real-world problems. My recent projects include an Agentic AI Chatbot built with LangGraph, LangChain, Google Gemini, FastAPI, ChromaDB, Docker, AWS, GitHub Actions for CI/CD, and LangSmith, as well as a Medical AI Chatbot using RAG, Pinecone, Hugging Face Embeddings, Llama 3 (Groq API), Flask, Docker, AWS and GitHub Actions for CI/CD. During my graduate studies, I worked as a Research Assistant at the University of North Texas, where I developed an Emotion-Llama video analytics pipeline using Python (OpenCV) and LLaMA-2-7B to analyze student engagement through emotion and attention modeling. Prior to that, I worked as an AI Engineer Intern at Brane Enterprises, developing AI and machine learning solutions for real-world applications.…I'm an AI Engineer with a Master's degree in Data Science from the University of North Texas, passionate about building production-ready AI applications using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Data Science, Machine Learning, and Cloud technologies. I enjoy building intelligent systems that combine LLMs, AI agents, vector databases, and modern backend technologies like FastAPI, Flask, Docker, AWS with automated CI/CD pipelines to solve real-world problems. My recent projects include an Agentic AI Chatbot built with LangGraph, LangChain, Google Gemini, FastAPI, ChromaDB, Docker, AWS, GitHub Actions for CI/CD, and LangSmith, as well as a Medical AI Chatbot using RAG, Pinecone, Hugging Face Embeddings, Llama 3 (Groq API), Flask, Docker, AWS and GitHub Actions for CI/CD. During my graduate studies, I worked as a Research Assistant at the University of North Texas, where I developed an Emotion-Llama video analytics pipeline using Python (OpenCV) and LLaMA-2-7B to analyze student engagement through emotion and attention modeling. Prior to that, I worked as an AI Engineer Intern at Brane Enterprises, developing AI and machine learning solutions for real-world applications.

Srinikesh Mucha

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I'm an AI Engineer with a Master's degree in Data Science from the University of North Texas, passionate about building production-ready AI applications using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Data Science, Machine Learning, and Cloud technologies. I enjoy building intelligent systems that combine LLMs, AI agents, vector databases, and modern backend technologies like FastAPI, Flask, Docker, AWS with automated CI/CD pipelines to solve real-world problems. My recent projects include an Agentic AI Chatbot built with LangGraph, LangChain, Google Gemini, FastAPI, ChromaDB, Docker, AWS, GitHub Actions for CI/CD, and LangSmith, as well as a Medical AI Chatbot using RAG, Pinecone, Hugging Face Embeddings, Llama 3 (Groq API), Flask, Docker, AWS and GitHub Actions for CI/CD. During my graduate studies, I worked as a Research Assistant at the University of North Texas, where I developed an Emotion-Llama video analytics pipeline using Python (OpenCV) and LLaMA-2-7B to analyze student engagement through emotion and attention modeling. Prior to that, I worked as an AI Engineer Intern at Brane Enterprises, developing AI and machine learning solutions for real-world applications.…I'm an AI Engineer with a Master's degree in Data Science from the University of North Texas, passionate about building production-ready AI applications using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Data Science, Machine Learning, and Cloud technologies. I enjoy building intelligent systems that combine LLMs, AI agents, vector databases, and modern backend technologies like FastAPI, Flask, Docker, AWS with automated CI/CD pipelines to solve real-world problems. My recent projects include an Agentic AI Chatbot built with LangGraph, LangChain, Google Gemini, FastAPI, ChromaDB, Docker, AWS, GitHub Actions for CI/CD, and LangSmith, as well as a Medical AI Chatbot using RAG, Pinecone, Hugging Face Embeddings, Llama 3 (Groq API), Flask, Docker, AWS and GitHub Actions for CI/CD. During my graduate studies, I worked as a Research Assistant at the University of North Texas, where I developed an Emotion-Llama video analytics pipeline using Python (OpenCV) and LLaMA-2-7B to analyze student engagement through emotion and attention modeling. Prior to that, I worked as an AI Engineer Intern at Brane Enterprises, developing AI and machine learning solutions for real-world applications.

Available to hire

I’m an AI Engineer with a Master’s degree in Data Science from the University of North Texas, passionate about building production-ready AI applications using Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Data Science, Machine Learning, and Cloud technologies.

I enjoy building intelligent systems that combine LLMs, AI agents, vector databases, and modern backend technologies like FastAPI, Flask, Docker, AWS with automated CI/CD pipelines to solve real-world problems. My recent projects include an Agentic AI Chatbot built with LangGraph, LangChain, Google Gemini, FastAPI, ChromaDB, Docker, AWS, GitHub Actions for CI/CD, and LangSmith, as well as a Medical AI Chatbot using RAG, Pinecone, Hugging Face Embeddings, Llama 3 (Groq API), Flask, Docker, AWS and GitHub Actions for CI/CD.

During my graduate studies, I worked as a Research Assistant at the University of North Texas, where I developed an Emotion-Llama video analytics pipeline using Python (OpenCV) and LLaMA-2-7B to analyze student engagement through emotion and attention modeling. Prior to that, I worked as an AI Engineer Intern at Brane Enterprises, developing AI and machine learning solutions for real-world applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Research Assistant at University of North Texas

April 1, 2025 - May 1, 2026

Improved an Emotion-LLaMA video analytics pipeline by optimizing OpenCV preprocessing and refining LLaMA-2-7B prompting and evaluation workflows, enhancing reliability of AI-driven student engagement analysis from classroom videos. Analyzed emotion and attention patterns from educational videos and supported development of an AI-based student engagement detection framework under faculty supervision. Conducted literature reviews on computer vision, emotion recognition, and large language models, translating findings into actionable recommendations for ongoing research and model improvements.

AI Engineer Intern at Brane Enterprises

May 1, 2022 - July 1, 2024

Built an LLM-powered conversational assistant using LangChain to interact with internal project management and business workflow data, enabling stakeholders to retrieve project status, work items, and operational insights through a chat interface. Integrated Jira REST APIs to provide real-time epic, user story, sprint progress, and issue tracking, improving visibility into delivery. Developed prompt engineering workflows and context-aware retrieval pipelines, deployed with Streamlit for technical and non-technical users. Built a document intelligence pipeline with RAG using Mistral-7B and integrated Faster R-CNN, CascadeTabNet, and Tesseract OCR for layout/table/text extraction, achieving 99.4% extraction accuracy and optimized inference using ONNX Runtime. Containerized applications with Docker and deployed scalable inference services on AWS SageMaker for production-ready enterprise AI solutions.