Lead of Technology / CTO Product Leadership

Amealio

I grew inside Envisionard from frontend developer to Lead of Technology / CTO responsibility, building and leading Amealio across customer app, merchant/admin dashboards, AI personalization, POS, payments, settlements, ONDC, and cloud/business operations.

Live product Product Leadership Systems

10+

people led/trained

major integrations

~90%

API speed improvement

$1M

AWS credits extended

Context

What existed before my work

This is the product and technical situation I was responding to, not just a list of tools.

Amealio was an early MVP when I joined Envisionard. Over time, my work moved from building interfaces into owning complex product systems and eventually Lead of Technology / CTO responsibility.

The product was not just a food app. It had customer discovery, restaurant operations, merchant management, admin workflows, AI personalization, POS/menu data, payments, settlements, ONDC, OAuth, analytics, and internal tools.

System Map

How the work connects

I want each project page to show the system, not only describe it.

Amealioproduct ecosystem

Customer App

Merchant Dashboard

Admin Dashboard

POS

Payments

ONDC

AI Personalization

Analytics

I treated Amealio as an ecosystem: discovery, restaurant operations, payments, settlements, integrations, dashboards, personalization, and team delivery all had to connect.

My Ownership

Exactly what I owned

These are grouped by responsibility so the case study reads like real product ownership, not scattered bullet points.

I built critical systems

Petpooja POS integration for menus, items, categories, prices, and availability.
Item/menu management for merchant customization and personalization.
Razorpay payment and settlement flows across checkout, events, ordering, wallet, refunds, coupons, commissions, reconciliation, and reporting.
Merchant, admin, and analytics dashboards with real-time behavior and multi-role access patterns.

I led product direction

AI personalization and chatbot direction using user preference data and custom recommendation logic.
Experiences/events direction and customer app features around item customization and performance/UI improvements.
ONDC buyer-app integration support, including F&B menu dump workflows, APIs, data mapping, dashboards, background jobs, and testing tools.

I improved engineering operations

Improved API performance by about 90% through MongoDB indexes, query changes, and loop reduction.
Introduced or expanded tools and practices including Swagger, Jira, AWS load balancers, release planning, and package/dependency cleanup.
Trained interns, set learning goals, referred team members, and helped the product team grow in skill and confidence.

Key Modules

The parts of the system that carry the story

Each module is a concrete proof point: product surface, backend, integration, workflow, or leadership responsibility.

POS and menu systems

I built Petpooja sync for menu, item, category, price, and availability data using API pull, scheduled sync, and webhook-based flows. The hard work was handling schema mismatches, duplicate items, validation, and multi-location restaurants.

PetpoojaMongoDBMenu syncData validation

Payments and settlements

I owned Razorpay payment and settlement workflows across customer checkout, event booking, restaurant ordering, wallet flows, refunds, coupons, merchant payouts, commissions, reconciliation, payment status sync, and reports.

RazorpayReconciliationWalletReports

Dashboards and permissions

I built merchant, admin, and analytics dashboards for operations, platform management, payments, settlements, and engagement, with real-time behavior and multi-role access.

AdminMerchantAnalyticsAccess control

AI personalization

I led personalization and chatbot initiatives for restaurants, dishes, menus, offers, events, search results, and social dining experiences using preference data and custom recommendation logic.

PersonalizationChatbotSearchRecommendations

ONDC buyer flow

I contributed to ONDC buyer-app integration, including F&B menu dump workflows, API/data mapping, dashboard support, background jobs, and testing tools for production rollout.

ONDCBuyer appMenu dumpBackground jobs

Cloud and business leverage

I represented the product in cloud/startup-credit conversations, helping extend access to $1M AWS startup credits and MongoDB startup credits through product, rollout, and planning discussions.

AWSMongoDB creditsPlanningLeadership

Hard Problems

Constraints, tradeoffs, and fixes

This is where the case study becomes credible: what was difficult, and how I responded.

Menu data was messy across POS, restaurants, customization, and personalization.

I built sync and validation flows that handled mismatched schemas, duplicates, multi-location restaurants, availability, prices, and merchant preferences.

Settlement reconciliation is where payment systems become operationally serious.

I owned dashboard, backend, reporting, payment status, refund tracking, commission calculation, and merchant payout visibility around Razorpay flows.

Dashboards had to serve different users without mixing permissions.

I built real-time merchant/admin/analytics dashboards with multi-role access patterns for admins, merchants, staff, and internal users.

The product needed both code velocity and team growth.

I trained interns, set learning plans, introduced tools, cleaned dependencies, supported release cadence, and helped the team grow while continuing to build critical modules.

Leadership

What I carried beyond code

I led and trained 10+ people while staying hands-on with critical implementation.

I supported weekly bug, issue, and enhancement releases and monthly feature releases.

I helped expand the team's technical culture through Swagger, Jira, AWS load balancers, package upgrades, and clearer planning.

I helped extend AWS and MongoDB startup credits by explaining the product, rollout plans, and technical roadmap in external meetings.

Lessons

What this proves about how I think

Leadership is not separate from engineering; the best technical decisions often come from understanding product, team, and business pressure together.

Integrations are product work, not only API work, because data quality, operations, support, and dashboards all depend on them.

My technology leadership experience is the bridge between my full-stack foundation and my current AI product direction.

Stack

Technologies and integrations

ReactReact NativeNode.jsExpressMongoDBFirebaseAWSRazorpayPetpoojaONDC

This is the level of ownership I want to keep building from.

My strongest work happens when I can move across product, engineering, integrations, and AI workflows with real responsibility.

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