Data Science graduate student at Stony Brook University with hands-on experience in machine learning, NLP, and LLM-powered systems. Built scalable AI applications, RAG pipelines, and production-ready ML solutions across research and industry internships. Passionate about applied AI, system design, and real-world impact.

🎓 MS in Data Science @ Stony Brook University 🧠 AI | Machine Learning | LLMs | NLP | Multimodal Systems 💼 Former AI Intern @ IBM & Goldenmace IT Solutions 🚀 Actively seeking AI / ML / Data Science Internships

I’m a Data Science graduate student with strong hands-on experience building end-to-end AI systems—from research and modeling to deployment and real-world impact.

My interests lie at the intersection of:

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing
• Multimodal AI (Text, Image, Speech)
• Scalable ML & MLOps

I enjoy transforming complex ideas into production-ready solutions that are efficient, explainable, and impactful.

LanguagesPythonRJavaC++SQLBash

ML / AIPyTorchTensorFlowScikit-learnKerasTransformersLangChainFAISSOpenCV

Data & EngineeringPandasNumPyPySparkAirflowETL PipelinesTime-Series Modeling

Backend & DeploymentFastAPIFlaskDockerKubernetesAWS (EC2, SageMaker, Lambda, S3)MLflowCI/CD

VisualizationTableauPower BIStreamlit

🧠 Local-first AI assistant supporting text, images, PDFs, code & speech

• Built using LangChain, Chainlit, Ollama
• Implemented RAG pipelines for contextual reasoning
• Added STT, TTS, image generation & memory
• Reduced query latency by 28%, improved response consistency by 35%

📄 LLM-powered resume-to-job matching engine

• FAISS + RAG Fusion for semantic retrieval
• Achieved 91% precision on 10,000+ resumes
• Streamlit UI for explainable rankings
• Reduced manual screening time by 65%

🚦 Deep learning–based traffic forecasting

• LSTM model using traffic & weather data
• Achieved 87% prediction accuracy
• Real-time dashboard with MAE & RMSE metrics
• Reduced analysis latency by 42%

• AI Developer Intern – Goldenmace IT Solutions Built containerized NLP microservices & transformer models with 22% accuracy gains

• AI Intern – IBM Optimized transformer-based document understanding models & scalable inference pipelines

• Web Developer Intern – Iqonic Design Delivered production-ready full-stack web applications with improved performance

• 🔗 LinkedIn:https://www.linkedin.com/in/meet-brahmbhatt-ai/
• 📧 Email:meetnaresh.brahmbhatt@stonybrook.edu
• 🌐 Portfolio/GitHub: You’re already here 😉

• AI / ML / Data Science Internships
• Research assistant roles
• Open-source collaborations
• LLM / NLP / Applied AI projects