Freelance AI Agent Designers in India

Freelance AI Agent Designers in IndiaFreelance AI Agent Designers in India

Projects People

proBengaluru, India

Product Designer · Mobile & Web · Motion Design · AI

$25k+: Earned

15x: Hired

5.0: Rating

783: Followers

Top

expert

+14

Product Designer · Mobile & Web · Motion Design · AI

Cover image for Mobile Apps for AI Agents - Compilation

Mobile Apps for AI Agents - Compilation

3

43

Cover image for Website design project for an architecture firm

$1.5K+ earned

Website design project for an architecture firm

38

749

Cover image for Art Gallery Mobile App Design for Bidd'me - FinTech

Art Gallery Mobile App Design for Bidd'me - FinTech

16

440

Cover image for Pairy - Influencer Marketing Mobile Application

Pairy - Influencer Marketing Mobile Application

18

321

AI Agent Designer(1)

Product studio for startups, apps, dashboards, and AI.

$10k+: Earned

7x: Hired

5.0: Rating

38: Followers

expert

Product studio for startups, apps, dashboards, and AI.

Cover image for Autonomous AI SEO Agent for Sabai Health

Autonomous AI SEO Agent for Sabai Health

2

0

11

Cover image for Solika Arts: Multi-Portal SaaS Platform for an Art School

Solika Arts: Multi-Portal SaaS Platform for an Art School

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1

4

Vaulta: Brand Identity for a Fintech Wealth Platform

0

3

Cover image for Iftin Global: Go-to-Market Launch Campaign

Iftin Global: Go-to-Market Launch Campaign

2

2

13

AI Agent Designer(1)

proDelhi, India

UX & Service Designer crafting human-centered systems

10: Followers

UX & Service Designer crafting human-centered systems

Cover image for I design. I build. I

I design. I build. I ship. Figma → Framer → production. No handoffs or back and forth. Just a finished product. Roy Studio has 2 spots this month. If you know, you know. If you don't—royflows.com (https://—royflows.com)

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98

Cover image for Mainframe is a conceptual AI

Mainframe is a conceptual AI studio — brand system + full multi-page website, built entirely in Stitch. Landing page with animated states, five inner pages (Labs, Studio, Services, Openings), and a complete DESIGN.md (http://DESIGN.md) covering color, type, and layout. Monochromatic, editorial, cinematic. The kind of system that usually takes weeks — done in one session. Started with brand tokens, used them as the foundation for every page. Iterated hover states and animations without leaving the design context. The generated DESIGN.md (http://DESIGN.md) became the actual handoff doc. Fastest I've gone from concept to a coherent multi-page system. Want: auto-propagating token updates across pages, finer motion controls, native multi-page navigation. Otherwise — best design-gen tool I've used since Figma got auto-layout.

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9

510

Cover image for Just wrapped a custom store

Just wrapped a custom store build and I'm genuinely proud of this one. Minimal. Clean. The kind of ecommerce experience that doesn't shout—it just works. Product pages that breathe. A checkout flow so smooth it almost feels intentional. Collections that actually make sense when you're browsing. The hero hits different when you scroll through it live. Real product imagery. Real storytelling. The whole vibe just clicks. This is what I build for brands that know design matters. No template defaults. No generic flows. Just a store that converts because it feels right. Demo's ready to show—thinking this could be something special for the right founder. → DM if you're building something like this.

1

68

Cover image for I set a quick design

I set a quick design challenge for myself: What would a high-end landing page look like for a national defense contractor or a private drone dealer? 🚁🔥 Check out my latest UI/UX concept: a cinematic, dark-mode experience for a next-gen tactical drone called "The Executioner." The goal was to blend intense military aesthetics with a sleek, minimalist tech UI. Let's hear your thoughts in comments!

2

93

AI Agent Designer(5)

Greater Noida, India

UI/UX Designer • No-code Builder • AI Architect

$1k+: Earned

60: Followers

UI/UX Designer • No-code Builder • AI Architect

Cover image for I built something wild for

I built something wild for the Paper Challenge🚀 It turns any GitHub repo into a visual case study — instantly. No writing. No designing. Just drop a repo link… and the canvas builds itself. That’s CodeSage💯 Most devs have solid projects… but they’re buried in README files nobody reads. CodeSage changes that. It reads your actual code — architecture, stack, commits — and transforms it into a clean, dark, presentation-ready case study. The real unlock? Paper MCP. I connected my AI agent directly to the canvas. So instead of designing manually… the agent builds everything: • Sections • Layout • Insights • Structure All generated directly on the canvas. No drag. No drop. Just output. Pick any repo → get 3 analysis modes: *Each one gives → Complexity score → PR velocity → Language breakdown → Full Refactor Roadmap Try CodeSage: https://codesage-871524277866.us-central1.run.app/ Tech stack: Paper MCP · Gemini API · GitHub API · Antigravity

22

58

1.2K

Cover image for Finding freelance clients shouldn't take

Finding freelance clients shouldn't take hours. Prospectra is a Notion agent that hunts leads for you, scores them by priority, and writes your cold emails — automatically. → Finds real leads from across the web → Tells you who to reach out to first → Writes personalised cold emails instantly → Keeps your entire pipeline inside Notion Stop scrolling LinkedIn for hours. Try it → https://www.notion.so/agent/3357b509492d801682d200929fc20ce0 Let AI fill your pipeline.

1

7

302

Cover image for AI Trading Co-Pilot reimagines how

AI Trading Co-Pilot reimagines how humans interact with financial data. Instead of overwhelming dashboards, the interface introduces an AI presence that observes, analyzes, and responds in real time. When a user selects a cryptocurrency, the AI activates — scanning price movement and liquidity signals through a cinematic analysis sequence before delivering a clear risk level and strategic suggestion. https://ai-trading-co-pilot.figma.site/ The core innovation lies in the interaction: A responsive AI panel that feels alive Smooth state transitions from observation to insight Subtle ambient motion that creates a futuristic, intelligent atmosphere Built entirely in Figma Make, this prototype explores a new design language for collaborative decision-making — where AI acts as a co-pilot, not an autopilot.

5

283

Cover image for We spend hours jumping between

We spend hours jumping between Pinterest, Behance, Reddit, YouTube, and countless other apps looking for inspiration. But creativity isn't about consuming more. It's about finding the ideas that truly resonate—and having the confidence to turn them into something real. So I built Muse🌙 Muse is an AI-powered creative community that learns your creative taste, curates meaningful inspiration, connects you with like-minded creators, and even provides thoughtful AI critiques to help refine your work. Rather than another endless feed, we wanted to create an experience that feels calm, intentional, and inspiring—a place that understands your creative journey instead of competing for your attention. Try: Muse (https://muse-61893.bubbleapps.io/version-test) Built entirely on Bubble, starting from a Bubble AI-generated foundation, then carefully crafted into the experience you see today. I hope you enjoy exploring Muse as much as I enjoyed building it.

4

5

299

AI Agent Designer(3)

proRohtak, India

AI Agents & LLM Systems · Ex-Amazon & Microsoft · 10+ Years

5.0: Rating

1: Followers

AI Agents & LLM Systems · Ex-Amazon & Microsoft · 10+ Years

Cover image for Healthcare AI-Based Decision Support System
Architected

Healthcare AI-Based Decision Support System Architected a multi-step LLM-powered clinical decision support platform that transforms patient records and medical guidelines into structured diagnostic workflows. The system combines OCR processing, patient-data ingestion, AI-powered reasoning, and human-in-the-loop validation to improve reliability and consistency of clinical recommendations. Key contributions included: • Designing the LLM decision-engine architecture • Building medical guideline-to-decision-tree workflows • Developing evaluation and review tooling for quality assurance • Integrating OCR and patient-data processing pipelines • Supporting orchestration across multiple AI and healthcare system components Technologies: Python, LLMs, OCR, Workflow Orchestration, Healthcare AI

0

20

Cover image for AgentOS : Multi-Agent AI Orchestration

AgentOS : Multi-Agent AI Orchestration Platform Built AgentOS, a production-ready multi-agent orchestration platform that enables teams to deploy, monitor, and coordinate AI agents for complex workflows. Designed a modular architecture where specialized agents collaborate - handling tasks like research, code generation, and decision-making in parallel. Implemented real-time agent communication, persistent memory, tool-use pipelines, and a dashboard for observability. The system reduces manual intervention in repetitive workflows by over 80% and scales seamlessly across different LLM providers.

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21

Cover image for Amazon Subscribe & Save —

Amazon Subscribe & Save — Perl → Java Migration

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13

Cover image for SmartCart RAG : AI Support

SmartCart RAG : AI Support Assistant on Internal Knowledge Base Built a production RAG chat app over SmartCartCommerce's internal knowledge base - 86 documents, 856 indexed chunks covering policies, support playbooks, seller operations, and the brand admin console. Implemented three distinct AI personas (Customer, Concierge, Brand Partner) each with tailored retrieval and system prompts. Queries are embedded via OpenAI, semantically searched in Pinecone, and streamed back with source citations. Replaced manual doc-hunting for support teams with instant, grounded answers.

0

23

AI Agent Designer(2)

Trashu Vashisth

Building Production-Grade AI Agents & RAG Systems

13: Followers

Building Production-Grade AI Agents & RAG Systems

Cover image for The Problem: Sales teams waste 60%

The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.

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59

Cover image for I built a professional, end-to-end

I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS

0

71

Cover image for An autonomous AI system that

An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.

1

91

Cover image for Developed a highly responsive AI

Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like

2

131

AI Agent Designer(3)

Prakash Anand Kolkundi

Bengaluru, India

I’m a UI and Design System Expert

New to Contra

I’m a UI and Design System Expert

Cover image for Namma Kutumba Care ❤️
Even when

Namma Kutumba Care ❤️ Even when family is far away, family stays with you. When we were children, our parents and grandparents held our hands and taught us how to live. But somewhere along the way, technology moved faster than they could keep up. Missed calls. Confusing remotes. Forgotten medicines. Silent homes. Not because family stopped caring — but because distance, work, and life quietly came in between. That feeling inspired me to build Namma Kutumba Care — a retro-inspired care companion for senior citizens who struggle with technology and live independently. Instead of forcing seniors to adapt to technology, what if technology adapted to them? ✨ How it works 📱 Family scans a QR code to remotely set up care preferences 👨‍👩‍👧 Configure family, doctors, medicines, reminders, emergency contacts & wellbeing support ⚡ Everything syncs instantly to the device in real time Built with Figma Make + Supabase, enabling a connected care experience between family onboarding and the senior companion device. Features include: 📞 One-tap audio/video family calls ❤️ Live wellbeing updates for caregivers 🚨 Emergency & safety support 👨‍⚕️ Quick doctor connectivity 🚕 Trusted rides for hospital visits 💊 Gentle medicine reminders 🎵 Familiar songs, bhajans & comfort routines 🌍 Multi-language support For family, it’s not surveillance or analytics — but a warm daily story of care. Built for @figma #ConfigMakeathon with one belief: Technology should adapt to people — not the other way around. 🔗 Figma Make + Supabase Live Prototype — https://above-engine-55177178.figma.site 🎨 Figma Make Community Working File — https://www.figma.com/community/file/1648752487036095974/namma-kutumba-care-by-prakash-a-k-community 🎥 Story About Namma Kutumba Care Video — https://youtu.be/kpzydEioQpM 📱 Live Figma Make + Supabase Demo — Family Care Setup — https://youtu.be/favY8DguYWQ Would love your thoughts ❤️ @Figma #ConfigMakeathon #AIForGood #SeniorCare #Accessibility #InclusiveDesign #DesignForIndia #HumanCenteredDesign #FigmaMake #Supabase

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204

Cover image for 🚀 What if interfaces disappeared

🚀 What if interfaces disappeared — and technology just understood you? I built Futuristic Interaction 2050 for the Contra | Figma Makethon 2026 — a 5-scene cinematic prototype that reimagines how humans will interact with technology 25 years from now.No screens. No taps. No clicks. Just intent. This is a fully interactive, — a cinematic journey through a day in 2050 where biometric sensing, spatial computing, emotion-aware environments, and zero-navigation AI replace every interface we know today. You live it — walking through smart doors, watching rooms adapt to your stress levels, and collaborating in holographic workspaces. Published Figma Link: https://vocal-blur-83272003.figma.site Figma Community Link: https://www.figma.com/community/file/1609871721349340633 #figmamakeathon #ContraFigmaMakeathon @Zoë Colivas @Contra HQ

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191

Cover image for Excited for this Makeathon! I

Excited for this Makeathon! I bring strong hands-on experience with Figma Make and have already built and launched a Figma plugin: https://codemydesign-ai-bro-by-prakash-a-k.figma.site/ @Figma (https://contra.com/company/figma) @Contra HQ (https://contra.com/contra) @Zoë Colivas (https://contra.com/zoe)

2

9

1.5K

Cover image for Created in Figma Make with

Created in Figma Make with latest Claude Opus 4.5 — my AI-powered Design Language Studio for generating advanced visual concept prompts. #FigmaMake, #ClaudeOpus45, #AIModel, #DesignLanguageStudio, #VisualPromptGenerator

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78

AI Agent Designer(5)

Bengaluru, India

Lead Product Designer focused on AI & Scalable Products

New to Contra

Lead Product Designer focused on AI & Scalable Products

Cover image for AI-Powered Payments Platform — Operational

AI-Powered Payments Platform — Operational Command Center for JP Morgan About: JP Morgan's Payment Blotter was doing its job managing high-value institutional transactions across multiple teams but nobody could actually see what was happening. Layered permissions, fragmented listing logic, and role-based visibility rules that had accumulated over years meant the system provided data but not clarity. Operations associates, client service teams, and back-office stakeholders were all looking at the same platform and interpreting it differently. In a compliance-driven, time-sensitive environment, that ambiguity isn't a UX problem it's operational risk. What I did: I was the sole designer on a 9-person cross-functional team, responsible for auditing the entire workflow architecture, untangling role-based logic inconsistencies, and redesigning the blotter into a structured operational workspace while simultaneously laying the AI foundation for future enhancements. 12 stakeholder interviews across 4 service locations in US and UK. 3 sprints. One mandate: make a dense enterprise system behave predictably without stripping the depth that power users depend on. The key insight that drove every decision: in enterprise financial systems, clarity and consistency drive operational performance more than feature depth. The redesign surfaced role-aware access transparently, embedded ticket handling directly into contextual views, and simplified payment state logic so users could identify state faster, understand their access, act from the listing view, and share context without exporting. Post Launch: Launched and awarded in 2025. Ticket actions down to under 3 minutes. Processing time under 4 minutes. Task satisfaction at 75–80%. Ticket volume per team brought under 2,000. A payment blotter that finally worked like a command center.

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Cover image for Revolutionize Walmart Operations with AI-Driven Order Fulfil...

AI-Powered Order Fulfillment — Conversational AI for Walmart Operations About: Walmart's fulfillment teams were navigating 200+ fragmented modules to complete a single order. Manual coordination, cognitive overload, and training costs running $774–$1,047 per associate were quietly burning $5M+ in operational friction every year. The system wasn't broken it was just never designed for the decisions people were actually making. What I did: I was the sole designer on a 15-person cross-functional team, leading end-to-end design of a conversational AI assistant that unified order management, automated repetitive decision-making, and introduced explainable AI reasoning with built-in safety guardrails. I defined the conversational strategy, interaction model, and ethical guardrails then prototype and validated it live across 5+ store environments with 16 user sessions. Post-launch: The results were structural: workflows accelerated 60%, 300+ daily support sessions eliminated, 24,000 clicks reduced per session, task time dropped to under 3 minutes. $5M+ in operational savings unlocked. Launched, awarded, and still running.

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35

Unified Banking Dashboard — Multi-Brand Design System for Emirates NBD & Emirates Islamic About: Two banking brands. One codebase. 2.5 million digital users in the GCC expecting instant financial clarity every time they open the app. The existing dashboard was fragmented, brand-heavy, and cognitively expensive research showed 70% of daily sessions were spent just checking balances and recent transactions, yet the interface was treating every screen like a promotional surface. What I did: I led UX strategy, information architecture, interaction design, and design systems thinking solo delivering a token-driven, brand-adaptive dashboard that let Emirates NBD and Emirates Islamic share core structural components while expressing completely distinct identities through color, elevation, tone, and motion. No UX fragmentation. No engineering overhead duplication. The layered hierarchy I designed answered the three questions every banking user silently asks: Where do I stand? What can I do now? What needs attention? in that exact order, every time. Post-launch: 85–95% task completion, drop-off reduced by 20%, 70% component reuse across brands, 2–3× improved engagement, and a 2× faster brand rollout for engineering teams. A dashboard that finally worked like a financial command center not a promotional feed.

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Cover image for Smart Delivery App - Age

Smart Delivery App - Age Verification System About: Walmart's alcohol pickup flow was a compliance liability hiding inside a UX problem. Associates were making high-stakes age verification calls under peak-hour pressure with decision-critical signals scattered across multiple screens no clear path for edge cases, no confidence in exceptions. What I did: I redesigned the entire verification system from scratch: a guided, adaptive, multi-modal flow that handled ID-less scenarios, intelligent exception routing, and real-time validation all within a 3-sprint delivery alongside a 13-person cross-functional team. Post-launch: 93% compliance rate. 90% task satisfaction. Hand-off time dropped to under 3 minutes. Verification errors and peak-hour abandonment both declined measurably. What started as a workflow fix became a shift in decision architecture proving that compliance and speed aren't opposing forces when the interaction model is built around context.

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AI Agent Designer(2)