AI Engineer & NLP Specialist | Multi-Agent Systems | LLMs & RAG

AI Agents & Orchestration
Expertise in building multi-agent pipelines using CrewAI, LangChain, LangGraph, and AutoGen, including supervisor/router agents, tool use, and guardrails for production-ready agentic systems.

NLP & Large Language Models
Strong foundation in Natural Language Processing, covering prompt engineering, Retrieval-Augmented Generation (RAG), Hugging Face Transformers, fine-tuning, text classification, and embeddings.

ML & Deep Learning
Hands-on experience with TensorFlow, Keras, PyTorch, and scikit-learn for building CNNs, model evaluation, and hyperparameter tuning across various classification and detection tasks.

Backend & Deployment
Proficiency in Python-based backend development using FastAPI and Streamlit, with deployment experience on Vercel and integration of Twilio WhatsApp API for real-world SaaS applications.

Python Libraries
Regular use of NumPy, Pandas, Matplotlib, and PyPDF2 for data manipulation, visualization, and document processing in ML and AI projects.

Tools & Development Environment
Familiarity with Git, GitHub, Google Colab, and VS Code as core tools for version control, collaborative development, and model experimentation.

Mathematics
Strong grounding in linear algebra, calculus, differential equations, numerical methods, and probability — directly applicable to understanding and implementing ML algorithms.

Computer Vision
Experience building CNN-based image classifiers and real-time drowsiness detection systems using TensorFlow and Keras, including transfer learning with pretrained backbones such as VGG16.