I will build custom ai apps, llms, and rag pipelines in python


About this gig
I am a Senior AI Engineer backed by a specialized team of software architects. We help startups and businesses leverage Large Language Models (LLMs), vector databases, and custom Python frameworks to turn complex data into actionable AI solutions.
How We Solve Common AI Challenges:
- LLM Hallucinations & Inaccurate Outputs: We build production-grade Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases (Pinecone, ChromaDB, Qdrant) for precise, hallucination-free responses based on your proprietary data.
- Disconnected Data & Workflows: We create autonomous AI agents and custom REST APIs that connect LLMs directly to your existing databases, web apps, or enterprise CRMs.
- High API Costs & Latency: We optimize prompt engineering, implement response caching, and fine-tune open-source models (Llama 3, Mistral) to reduce compute overhead.
Technical Capabilities:
- LLMs & Frameworks: OpenAI GPT-4, Anthropic Claude, Llama 3, LangChain, LlamaIndex
- Vector DBs & Memory: Pinecone, Chroma, Weaviate, Qdrant, FAISS
- Backend & APIs: Python, FastAPI, Flask, Docker, AWS/GCP
Message me before ordering to discuss your custom AI project!
Get to know Ishan Gupta
Senior Tech Lead, FullStack, AI Agency Owner
- FromIndia
- Member sinceDec 2010
- Last delivery8 years
Languages
English
Other Software Development Services I Offer
FAQ
Can you train/run the AI on my private company documents securely?
Yes! We build local or private cloud-hosted RAG pipelines so your enterprise data remains completely confidential and secure.
Which vector databases do you support?
We work with Pinecone, ChromaDB, Qdrant, Weaviate, and FAISS depending on your scalability and latency requirements.
