AI Engineering Services
Production-grade Gen AI engineering. Shipped to scale, not prototype wrappers.
Advanced RAG Pipelines
Custom retrieval-augmented generation architectures built for exact business knowledge. I implement hybrid vector-keyword retrieval, advanced chunking strategies, cross-encoder reranking, and metadata filtering. Graced with strict citation grounding to eliminate hallucinations.
Agentic AI & Multi-Agent Workflows
Stateful, resilient multi-agent systems designed using LangGraph and FastAPI. I map complex workflows to DAG state machines where nodes execute distinct tasks (intent analysis, structured validation, API tool-calling) with automated memory management and retry fallbacks.
On-Device AI & Voice Platform
Privacy-first, network-independent local models. I deploy optimized computer vision models using TensorFlow Lite (e.g. 92% classification accuracy in FitWardrobe) and low-latency speech pipelines using Whisper STT + Piper TTS to stream audio locally under 450ms end-to-end.
AI Product Management Consulting
Bridge the gap between AI engineering and product value. Drawing from ECE constraint-based systems thinking and Microsoft PM certification, I help scope features, evaluate latency vs cost budgets, select the right model routing (Groq/Cerebras vs OpenAI), and design evaluations.
Standard Engagement Ranges
No fixed rates. Pricing varies with architecture complexity, scale, and integration constraints. I offer value-based scoping for maximum return on investment.
All custom projects commence with a complimentary 15-minute scoping call.
How We Work Together
We align on hard constraints: latency budgets, target accuracy thresholds, data volume, and inference cost limits. I scope the system design first before quoting.
I develop in structured sprints. Every LLM call is instrumented via Langsmith for full tracing, evaluation datasets are compiled, and safety filters are baked in.
We ship clean code containerized with Docker or deployed directly on Vercel/Supabase, backed by full API documentation, Swagger specs, and telemetry metrics.
Frequently Asked Questions
What types of AI projects does Aryan Panwar take on?
RAG pipelines, LangGraph agentic systems, on-device AI with TensorFlow Lite, voice AI (Whisper STT, Piper TTS), and AI PM consulting. Specializes in production-grade systems for startups and enterprises — not prototype demos or basic chatbot wrappers.
How long does a typical AI engineering project take?
Simple AI integrations take 1 to 2 weeks. Custom RAG systems with knowledge bases take 2 to 4 weeks. Full LangGraph agentic workflows take 4 to 8 weeks. A free 15-minute discovery call via the contact section scopes each project precisely.
What does it cost to hire Aryan Panwar for an AI project?
Project costs vary by scope. Simple AI integrations range from 15,000 to 30,000 rupees. Custom RAG pipelines range from 30,000 to 80,000 rupees. Full agentic systems with LangGraph range from 60,000 to 150,000 rupees or more. AI PM consulting is 2,000 to 4,000 rupees per hour. Every project begins with a free discovery call.
How do I contact Aryan Panwar to start a project?
Use the contact section at aryanpanwar.in or email [email protected] with the subject "AI Project Inquiry". You will receive a response within 24 hours.
Verified Author: Aryan Panwar
Gen AI Engineer & AI Product Manager