RISHIKESH R

AI Automation &
Dev Founder

I build AI agents, automation systems, and full-stack products — end to end, from first conversation to live deployment.

Open to projects · Kerala, India
Get in touch ↗
Rishikesh R

I sit at the intersection of product thinking and systems engineering. Not just code — but the full picture: understand the problem, design the solution, build the product, ship it, and make it run without constant attention.

  • AI Agents
  • Automation Systems
  • Full-Stack Development
  • End-to-End Delivery

Selected Work

Four projects,
chosen carefully.

Project: Automation01 / 07
I built an Instagram inbox that books its own appointments.
AI Appointment Booking Agent. Instagram DM automation.
The Problem02 / 07
Every DM answered by hand. Every reply a delay.
Manual replies to booking inquiries consumed hours daily and slowed response time for a service business fielding customers through Instagram.
Crowded Instagram DM inbox
The Approach03 / 07
An AI trained to sound like a person, not a bot.
Personality modeled from real conversation history, so every reply matched the owner's actual tone.
System04 / 07
AI DM conversation booking an appointment
  • DM automation
  • Conversational AI
  • Personality modeling
  • Calendar booking
  • FAQ handling
Instagram API, n8n, and an LLM, wired end to end.
The Challenge05 / 07
1Collect
2Analyze
3Profile
4Engineer
5Refine
"Sounding human took five iterations, not one prompt."
Result06 / 07
Auto-booked appointments calendar
No more manual replies. The inbox runs itself.
Appointments book themselves. The voice stays personal.
Live in production
Live Demo07 / 07
Message it yourself.
A live version of this agent runs on Instagram. Send "hi" to start.
◉ Live demo ↗

AI Instagram Booking Agent

AI Agent · Salon, UK — 2025

An AI agent that handles every customer DM, qualifies inquiries, and books salon appointments automatically — trained to sound exactly like the owner, not a bot.

Try the live demo ↗ Send "hi" on Instagram to start
Project: Ecosystem01 / 07
I built the membership system behind 300+ pharmacies.
Sahakar Shield. Membership, credits, and discounts, unified across one ecosystem.
The Scale02 / 07
300+
Partner medical stores running one shared discount program, with no unified system behind it.
The Problem03 / 07
Members, staff, and credits tracked without a system.
No consistent way to verify a customer, manage a membership, or move credits across hundreds of locations.
The Approach04 / 07
Sahakar Shield customer app membership card
One ecosystem. Four applications.
  • Customer app
  • Customer portal
  • Staff dashboard
  • Admin dashboard
The Journey05 / 07
1Register
2Verify
3Visit
4Redeem
"One phone number in. One membership card out. One ID that works in any store."
Staff QR member verification
The Challenge06 / 07
Staff portal login with branch selector
One backend. Three different roles.
Role-based permissions, branch-level access, and dual authentication all had to hold together without conflict, across every login path.
Result07 / 07
Admin dashboard overview
The largest system in the portfolio, running quietly in the background.
Customers, staff, and admins on one platform, across every partner store.
4 Platforms. 1 Ecosystem.

Sahakar Shield Ecosystem

Full-Stack · Mobile · Firebase — 2024

A complete membership platform — customer mobile app, staff dashboard, and admin system — managing digital cards, credits, and discounts across 300+ partner medical stores.

Project: Automation01 / 07
I built a system that turns happy customers into public reviews — automatically.
AI Customer Feedback & Reputation System. WhatsApp automation.
The Problem02 / 07
Happy customers leave. Unhappy ones leave reviews.
No way to reach satisfied customers after the sale — while dissatisfied ones went straight to Google.
The Insight03 / 07
More public praise. Fewer public complaints.
Route satisfied customers to Google Reviews. Catch dissatisfied ones privately. The logic is simple. The timing is everything.
The Flow04 / 07
WhatsApp invoice + feedback star rating
Invoice first. Feedback second.
Every purchase triggers a WhatsApp message delivering the invoice. A follow-up asks for a star rating — at the moment attention is highest.
The Logic05 / 07
Customer rates their experience
4 – 5 stars
→ Google Reviews
Direct link to leave a public review while the experience is fresh.
1 – 3 stars
→ Private capture
Feedback stays internal. Business can resolve — not broadcast.
The Challenge06 / 07
The billing software didn't have a webhook.
The trigger had to be built manually — intercepting the invoice event and passing it into the WhatsApp sequence without a native integration.
Result07 / 07
Google Reviews 4.6 stars, 131 reviews
More public praise. Fewer public complaints.
Positive reviews increased. Dissatisfied customers caught privately. Zero extra staff effort.
Zero staff effort

AI Customer Feedback System

AI Automation · JK Tyres — 2024

Post-purchase WhatsApp automation that routes 5-star customers to Google Reviews while capturing all other feedback privately — growing reputation without a single manual step.

Project: Infrastructure01 / 07
I built the infrastructure to send thousands of emails without getting flagged as spam.
Cold email infrastructure and outreach automation.
The Problem02 / 07
A large lead list. One email sent at a time.
Outreach was manual and slow — sending in bulk without infrastructure risked landing every email in spam.
The Insight03 / 07
Volume isn't the hard part. Deliverability is.
Sending thousands of emails is trivial. Getting them into inboxes instead of spam folders is the actual engineering problem.
System04 / 07
Local senders multi-domain warmup panel
  • Domain strategy
  • SPF, DKIM, DMARC
  • Warm-up infrastructure
  • Bounce protection
  • Volume ramp-up
Multiple sending domains, authenticated and warmed before a single campaign email went out.
The Personalization05 / 07
Every email reads like it was written for one person.
First name, company, job title, and custom variables pulled straight from a CSV list — so campaigns never felt like a mail merge.
Personalized email delivery log
The Sequence06 / 07
1Open
2Follow up
3Follow up
4Follow up
5Break-up
"A five-email sequence, ending in a deliberate goodbye — not a fade-out."
Result07 / 07
Campaigns dashboard: 326 sent, 582 leads, 9.5% open rate
From one-by-one to thousands, without losing the inbox.
Manual outreach became a scalable system sending high-volume personalized campaigns with strong inbox placement.
Safe at scale

Cold Email Infrastructure

Infrastructure · Outreach — 2024

A scalable outbound email system with domain warmup, SPF/DKIM/DMARC auth, and CSV-based personalization — turning manual one-by-one sends into thousands of clean, deliverable emails.

Other things I've built

AI Agent

AI Website Chatbot

A 24/7 support bot embedded on a client's website — handles FAQs, answers product questions, and guides visitors toward the right action, all without human input.

Web · Healthcare

AMMAPSYDAC

Full website and donation platform for a physiotherapy charity — responsive design, service pages, team profiles, and integrated payment system.

Visit site ↗

Web · Agency

MyTaskEngine.com

Official website for my AI automation and development agency — services, positioning, and project showcases.

Visit site ↗

Automation

Business Onboarding Flow

Auto-provisions a Google Drive folder, organises documents, adds legal paperwork, and sends a welcome email the moment a client submits an onboarding form.

Mobile App · Android

Telos

A habit-tracking and journaling app built around deep daily reflection — not streaks. Shipped solo from concept to Play Store.

▶ Google Play ↗

Mobile App · Android

Entheos

A comparative spiritual learning app for exploring mystical traditions from around the world — each presented in its own words, without bias.

▶ Google Play ↗

What I do,
in two parts.

I design and build AI-powered agents and automation workflows that handle the repetitive, time-consuming parts of running a business. From Instagram DM handlers and website chatbots to WhatsApp post-purchase flows and cold email infrastructure — everything is built around the specific business problem, not a template.

AI Agents n8n / Make WhatsApp API Instagram API Email Automation Webhook Flows

Full-stack applications, mobile apps, and web products built from concept to deployment. Firebase backends, authentication systems, admin dashboards, customer portals, and e-commerce stores — built alone or alongside a client, shipped to production, then iterated based on real usage.

React / Next.js Firebase Supabase Mobile (Android) Dashboards End-to-End Deployment

Background

What I've built.

MyTaskEngine

Founder & Lead Builder

Running a solo AI automation and development agency. Building and delivering client projects across AI agents, automation systems, full-stack apps, and mobile products — from first conversation to live deployment.
mytaskengine.com ↗

2026 — Present

Telos

Solo Product · Google Play

Designed and built a habit-tracking and journaling app from scratch — concept, UI design, development, and Play Store launch. Built around deep reflection rather than surface-level streak gamification.
● Live on Google Play ↗

2025

Entheos

Solo Product · Google Play

Built a comparative spiritual learning app featuring tradition-specific guided practices and educational content — presenting each tradition in its own words, without bias or promotion.
● Live on Google Play ↗

2025

Freelance

Independent

Web design, automation builds, and product work for independent clients across healthcare, beauty, automotive, and retail — before formalising as MyTaskEngine.

2023 — 2024

Let's build something
that works.

rishikesh.xix@gmail.com