My name is Jothi Mani Thondiraj, and I am a recent M.S. graduate from the University of Colorado Boulder. I am actively seeking opportunities in AI/ML, software engineering where I can apply my expertise in machine learning, deep learning, Generative AI, model optimization, and data analysis. I am interested in the AI Agent Engineer role at strongdm, and I wanted to reach out to you regarding that. Here is my background:
During my graduate studies, I worked as a Graduate Research Assistant at CU Boulder, where I developed a deep learning-based uncertainty quantification model for NASA's high-dimensional modeling tasks. This involved optimizing predictive models using PyTorch, implementing custom neural network architectures, and streamlining data pipelines to improve computational efficiency. These efforts led to a 40% reduction in data processing time and contributed to $150,000 in annual cost savings for NASA's predictive modeling workflows. I regularly presented findings to stakeholders, enhancing the interpretability and impact of AI-driven decision-making.
Currently, I am working as an AI Engineer at Nureal.ai, where I am designing a mobile application for indoor navigation using Augmented Reality (AR). I also mainly contribute to AI features such as voice recognition, Retrieval-Augmented Generation (RAG), and agent development. I developed a RAG chatbot for answering library user queries based on the data from the PostgreSQL database and implemented the backend using FastAPI for prototyping. I am developing an agent framework in LangGraph for building tools for reserving books, answering questions, and monitoring the workflow in Langfuse. Initially, I was using n8n for orchestrating the agent tools, but then I moved to LangGraph as it is more suitable for production.
Moreover, I have attended Vizuara AI Agents Bootcamp, where I learned A-Z about the AI agent frameworks from the basics. Particularly, I learned about including the ReAct framework, and tools such as smolagents, langgraph, crewAI, Langsmith, LlamaIndex, Langfuse, and ArizeAI. I built a couple of projects that include creating a travel itinerary plan in Langflow, sending reply emails to the sender if the email received is not spam, and so on.
In addition to my professional and academic background, I am committed to continuous learning and growth. Through platforms like SuperDataScience, I stay current with the latest in ML and AI. Some of my recent projects include:
- Fine-tuning BERT for detecting AI-generated text.
- Developing and deploying a Gradio-based LLM chatbot on Hugging Face to generate personalized recipes and images using Falcon-7B, GPT-4, DALL·E, and Stable Diffusion.
- Building scalable end-to-end ML pipelines for YouTube sentiment analysis, integrating Apache Airflow for ETL process, Hugging Face models, and Streamlit for real-time analytics.
- Credit card fraud detection using machine learning
I hold two certifications: Microsoft Azure Data Scientist Associate certification, Google Data Analytics Professional Certificate.
I am passionate about using AI, data science, and software engineering to solve real-world, high-impact challenges, and I believe strongdm would be an excellent place to contribute and continue growing professionally. If possible, I would greatly appreciate the opportunity to speak with you for 15–20 minutes about the job opportunity.
My name is Jothi Mani Thondiraj, and I am a recent M.S. graduate from the University of Colorado Boulder. I am actively seeking opportunities in AI/ML, software engineering where I can apply my expertise in machine learning, deep learning, Generative AI, model optimization, and data analysis. I am interested in the AI Agent Engineer role at strongdm, and I wanted to reach out to you regarding that. Here is my background:
During my graduate studies, I worked as a Graduate Research Assistant at CU Boulder, where I developed a deep learning-based uncertainty quantification model for NASA's high-dimensional modeling tasks. This involved optimizing predictive models using PyTorch, implementing custom neural network architectures, and streamlining data pipelines to improve computational efficiency. These efforts led to a 40% reduction in data processing time and contributed to $150,000 in annual cost savings for NASA's predictive modeling workflows. I regularly presented findings to stakeholders, enhancing the interpretability and impact of AI-driven decision-making.
Currently, I am working as an AI Engineer at Nureal.ai, where I am designing a mobile application for indoor navigation using Augmented Reality (AR). I also mainly contribute to AI features such as voice recognition, Retrieval-Augmented Generation (RAG), and agent development. I developed a RAG chatbot for answering library user queries based on the data from the PostgreSQL database and implemented the backend using FastAPI for prototyping. I am developing an agent framework in LangGraph for building tools for reserving books, answering questions, and monitoring the workflow in Langfuse. Initially, I was using n8n for orchestrating the agent tools, but then I moved to LangGraph as it is more suitable for production.
Moreover, I have attended Vizuara AI Agents Bootcamp, where I learned A-Z about the AI agent frameworks from the basics. Particularly, I learned about including the ReAct framework, and tools such as smolagents, langgraph, crewAI, Langsmith, LlamaIndex, Langfuse, and ArizeAI. I built a couple of projects that include creating a travel itinerary plan in Langflow, sending reply emails to the sender if the email received is not spam, and so on.
In addition to my professional and academic background, I am committed to continuous learning and growth. Through platforms like SuperDataScience, I stay current with the latest in ML and AI. Some of my recent projects include:
- Fine-tuning BERT for detecting AI-generated text. - Developing and deploying a Gradio-based LLM chatbot on Hugging Face to generate personalized recipes and images using Falcon-7B, GPT-4, DALL·E, and Stable Diffusion. - Building scalable end-to-end ML pipelines for YouTube sentiment analysis, integrating Apache Airflow for ETL process, Hugging Face models, and Streamlit for real-time analytics. - Credit card fraud detection using machine learning
I hold two certifications: Microsoft Azure Data Scientist Associate certification, Google Data Analytics Professional Certificate.
I am passionate about using AI, data science, and software engineering to solve real-world, high-impact challenges, and I believe strongdm would be an excellent place to contribute and continue growing professionally. If possible, I would greatly appreciate the opportunity to speak with you for 15–20 minutes about the job opportunity.
Thank you for your time and consideration.
Here is the link to my resume: https://azure-shandy-14.tiiny.site.
I'm looking forward to talking with you.
Best regards, Jothi Mani Thondiraj Email: nasaaimer2014@gmail.com Phone: +1 (720)-965-8926 Portfolio: https://www.datascienceportfol.io/nasaaimer2014