GenAI & Agentic AI Engineer • NL2SQL • RAG • Agents • Document AI • AI Reliability
I help startups and businesses build AI agents, RAG applications, and automation systems that turn data, documents, and workflows into production-ready results.
Freelance AI engineering for teams that need a working system, not a research paper.
Build and validate an AI product quickly — from prototype to something you can put in front of users.
Add AI features and intelligent workflows to an existing product without slowing down your roadmap.
Automate repetitive business operations — support, data entry, reporting — that are eating your team's time.
White-label AI development support for client work you don't have in-house capacity to build.
Five capabilities, one coherent stack: your business data and knowledge become automated decisions. Each is backed by a live, working build.
Have an AI problem?
Not prototypes. Products people actually use. — click to try them live.
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Production-focused AI systems I've designed and built across GenAI, automation, analytics and intelligent applications.
An intelligent multi-agent system that routes each question to the right specialist — documents, databases, or live data — and checks every answer before it ships.
Multi-agent task orchestration
A RAG chatbot that scores its own answers for accuracy before responding, so teams can trust it enough to put in front of real users.
RAG-powered knowledge retrieval
Lets a team ask plain-English questions about a database or spreadsheet and get an instant answer back — no SQL required.
Natural-language database querying
Ask a business question in plain English and get a live chart back in seconds — no analyst or SQL required.
Natural-language data analytics
A team of AI agents debates both sides of an investment case before recommending anything — with a human always making the final call.
Adversarial multi-agent decision-making
Reads scanned PDFs and reports the way a person would — understanding page layout, not just text — and cites the exact page behind every answer.
AI-powered document intelligence
Automatically catches it when an AI system's answers get worse, slower, or more expensive — before users notice.
Automated LLM quality & cost monitoring
Automatically scans the day's AI news and delivers a curated summary twice a day — with zero manual work.
Fully automated content pipeline
Need something similar for your business?
Tell me what you're trying to build. I can help design the AI architecture, develop the system and take it toward production.
Discuss Your Project →A straightforward path from your problem to a system running in production — no black-box middle steps.
Understand the business problem — not just "add AI," but the specific bottleneck or workflow costing you time.
Choose the simplest architecture that solves it — no unnecessary agents, no unnecessary complexity.
Build a working version quickly, so we validate the idea against real inputs before investing in the full build.
Test accuracy, cost, and usability against real data and edge cases before anything ships.
Deploy the system securely — containerized, versioned, and built to handle real traffic, not just a demo.
Track quality, latency, and cost after launch — so problems get caught before they become your customer's problem.
Practical AI systems designed around your business problem — from knowledge assistants and AI agents to automation and intelligent data applications.
Turn your documents, websites and internal knowledge into an AI assistant that can find information and answer questions with context.
AI agents that reason, use tools and automate multi-step business workflows.
Ask questions about your business data in plain English and get useful answers, analysis and visual insights — without writing SQL.
Extract, understand and search information from PDFs, invoices and business documents using AI.
AI assistants trained on your business knowledge to answer questions, support customers and assist your team.
End-to-end AI applications built around a specific business workflow, product idea or operational problem.
Final pricing depends on scope, integrations, data complexity and deployment requirements. These are directional starting points, not fixed quotes.
Not sure which AI solution you need?
Tell me what you're trying to automate, analyze or build. I'll help you identify the simplest AI approach.
Five things that make the difference between an AI demo and an AI system you can actually run a business on.
Not just notebooks and demos — real deployments with observability, evaluation, and rollback built in.
Architecture → development → deployment → monitoring. I own the whole pipeline, not just the prompt.
AI only where it creates measurable value — not AI for the sake of AI.
Prototype to production without unnecessary complexity slowing things down.
Architecture, source code, and live demos available — nothing behind a black box.
Tell PRIYA what you want to build or automate. She'll help you explore the right AI solution, understand the project scope, and connect you with Priyabrat.
Type in Hindi, Arabic, Chinese, Spanish, French or 6 other languages — auto-detected from your message, reply comes back in the same language.
Stores frequent visitor questions and auto-improves answers over time using 👍👎 feedback loops.
Auto-reads my latest GitHub repos and describes newest projects — without me updating anything.
Figures out if you're a recruiter, developer, or collaborator — and gives a tailored pitch automatically.
Shows a Google Calendar booking link the moment a recruiter says "Can we talk?" — instant meeting scheduling from chat.
Pings me in real time whenever someone starts a conversation — including what they asked, their city, and device.
Tell PRIYA What You Want to Build
Describe the AI problem or workflow you want to solve.
Tap the ✦ button in the bottom-right corner or click above — or Discuss My Project →
No client testimonials collected yet — so instead of quotes, here's what you can actually go check yourself.
I don't just prototype — I ship RAG pipelines, agentic systems, and LLM infra that runs in production, not just in a notebook.
GenAI & Agentic AI Engineer turning business data and knowledge into automated decisions — from NL2SQL analytics and RAG pipelines to multi-agent orchestration and revenue forecasting at scale.
Production-ready tools and technologies I use to build AI applications, intelligent automation and data-driven systems.
Practical checklists and starter structures from real production builds — for developers who'd rather build it themselves than hire it out.
The checklists I actually use before calling a GenAI project "production-ready."
Working starter code structures, not just checklists — the scaffolding I start every new project from.
Tell me what you're trying to automate. I'll analyze the problem and suggest whether AI, automation, or a traditional solution makes the most sense — no obligation.