Natural Language Processing (NLP)

• Chatbots, voice bots, and virtual assistants
• Named Entity Recognition (NER), sentiment analysis, and intent classification
• Language translation, summarization, and custom Q&A systems
• Document understanding and information extraction

Conversational AI & Voice Agents

• Voice-enabled agents using Twilio, Whisper, and LLMs
• AI-powered IVR and customer support automation
• Integration with WhatsApp, Facebook, Slack, and more
• Multi-turn dialogue systems with context retention

Generative AI Applications

• Custom AI assistants and domain-specific copilots
• Content generation for marketing, product descriptions, and reports
• Retrieval Augmented Generation (RAG) systems
• Knowledge base and documentation automation

Data & Predictive Analytics

• Anomaly detection and forecasting models
• Customer segmentation and behavior analysis
• Recommendation engines and personalization
• Business intelligence and automated reporting

frameworks

Hugging Face, TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, Semantic Kernel

models

GPT-4/3.5, Claude 3 (Opus/Sonnet/Haiku), Llama 2/3, Falcon, Mistral, Vicuna, Gemini, BERT/RoBERTa

cloud

AWS (SageMaker, Lambda, Bedrock), Azure OpenAI Service, Azure ML, Google AI/Vertex AI, Hugging Face Inference Endpoints

databases

Pinecone, FAISS, Weaviate, ChromaDB, Qdrant, Milvus, PostgreSQL + pgvector