Nakul Gupta

About Nakul Gupta

I’ve always been curious about how things work—whether it’s financial markets, AI-driven systems, or large-scale data systems. I love solving problems through technology, whether it\'s optimizing real-time data ingestion, developing machine learning models, or refining deep learning architectures.I’m a Software Engineer and Machine Learning enthusiast with over two years of experience in building scalable data pipelines, integrating IoT sensor data, and deploying machine learning models. Currently, I’m pursuing my Master’s in Computational Data Science at Purdue University, after earning my Bachelor’s in Computer Science and Engineering from Scry AI, I built and managed data ingestion and processing pipelines for IoT sensors, optimizing cloud-based data workflows and integrating MQTT and CoAP protocols to enhance efficiency. My experience leading cross-functional teams has strengthened my ability to communicate effectively and drive complex projects from ideation to execution.Beyond engineering, I have hands-on machine learning experience across different domains:1. LLM Application - Implemented RAG pipelines with multiple agent workflows across different domains using LangChain and LangGraph.2. Generative AI - Implemented GANs for text-to-image generation using the CUB dataset, exploring different GAN architectures to refine model performance.3. Regression & Analysis - Conducted statistical analysis on the NHANES dataset, studying the association between caffeine intake and gallstone formation.4. Fraud Detection - Developed credit card fraud detection models using XGBoost and LightGBM, improving classification accuracy and recall.5. Medical Image Segmentation - Worked on polyp segmentation in colonoscopy images, leveraging DeepLabV3 and UNet architectures for enhanced detection accuracy.I’m fascinated by AI-driven decision-making, market trends, and how data can drive innovation across industries. Whether it\'s analyzing financial markets, building cloud-based data pipelines, or deploying AI solutions, I thrive on learning, questioning, and building.I’m always eager to connect, collaborate, and explore opportunities in ML Engineering, Software Engineering, and AI-driven solutions. Feel free to reach out on LinkedIn or email at n••••••••@gmail.com

Experience

1. Ai Engineer

   Theo Ai

   Jun 2025 — Present · San Francisco, CA, US

Education

• Purdue University

  Master of Science - MS, Computational Data Science

• Indraprastha Institute of Information Technology, Delhi

  Bachelor of Technology, Computer Science