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Akshat Lambhate

Founder's Office · Business Automation

I build the systems a retail business runs on.

Pipelines that ingest every store's sales with nobody in the loop, the dashboard leadership makes renewal calls from, and an AI assistant that reads the lease agreements. Each one replaced a vendor or a spreadsheet. Each one is in daily use.

of sales aggregation automated
~98%
brands reported, unattended
100+
reported downtime
0
  • Next.js
  • React
  • Node
  • Prisma
  • TypeScript
  • Three.js
  • Tailwind
  • PostgreSQL
  • Supabase (pgvector)
  • AWS Bedrock
  • RAG & multi-agent
  • n8n
  • AWS EC2
  • Docker
  • Dokploy/Traefik
  • Cloudflare Tunnel
  • GitHub Actions CI/CD

Experience

Four roles, one instinct: find the manual step and retire it.

Each position ended with something that used to be done by hand running unattended. The latest one owns the entire technology layer of a retail business.

  1. Sept 2025 — PresentCurrent

    Business Automation Lead, Founder's Office

    LiteStore·Bangalore, India

    LiteStore logo

    Own the technology layer end to end: the data that arrives, the platform leadership decides from, and the AI that reads the contracts.

    • Architected an orchestrated sales pipeline (n8n, SFTP, POS APIs → PostgreSQL) that ingests every store’s data with no human input, reaching ~98% automation of monthly aggregated sales as a single auditable source of truth.
    • Deployed an unattended daily/weekly/monthly reporting engine serving 100+ partner brands across the FLXY and THE RACK formats, absorbing the operations team’s full reporting workload with no downtime.
    • Built a central operations dashboard (Next.js, Prisma, PostgreSQL) spanning store sales, lease commercials and MBO performance, with auto-computed PSFPD and a store-level Gross P&L used by Finance and leadership for renewal and exit decisions.
    sales aggregation automated
    ~98%
    brands auto-reported
    100+
    paid tools replaced
    3
    • n8n
    • Next.js
    • Prisma
    • PostgreSQL
    • AWS Bedrock
    • Supabase
    • Zoho Books
  2. June 2025 — Aug 2025

    Software Developer Intern

    LiteStore·Bangalore, India

    LiteStore logo

    Laid the data foundation the rest of the platform was later built on.

    • Built the core data structure and a live store-portfolio dashboard, automating sync to Google Sheets and cutting data latency by 90% via API-driven updates.
    lower data latency
    90%
    • JavaScript
    • Google Sheets API
    • Apps Script
  3. Apr 2025 — June 2025

    Software Developer Intern (Automation)

    Incentiv·Remote

    Incentiv logo

    Automated a content operation end to end, from creative to distribution.

    • Built end-to-end social media automation in n8n, Make and Lindy with AI-generated creatives, plus auto-scheduling and cross-platform distribution, cutting time-to-publish by ~70%.
    faster time-to-publish
    ~70%
    • n8n
    • Make
    • Lindy
    • Generative AI
  4. Jan 2024 — May 2024

    Front-End Developer Intern

    RSL Soft Tech Pvt. Ltd·Indore, India

    RS

    First production codebase. Where the MERN fundamentals came from.

    • Gained hands-on experience in the MERN stack; implemented secure JWT authentication and authorization mechanisms for client projects.
    • React
    • Node.js
    • Express
    • MongoDB
    • JWT

Selected work

Six systems, all of them in daily use.

Internal platforms, data pipelines, an AI assistant and two brand sites. Real screens throughout — nothing here is a mockup.

01LiteStore · Internal

Operations & Revenue Dashboard

A single cockpit for store performance and lease commercials

The central operating picture for the business — every store’s sales, the commercials of every mall and outlet lease, and MBO performance in one place, updating from the automated data layer beneath it.

LiteStore operations dashboard showing total stores, monthly sales, revenue and a daily sales summary
Per-store analysis page with ticket size, net sales, PSFPD, and weekly sales trend charts
Dashboard overview — live totals across the store portfolio
Built
A Next.js + Prisma + PostgreSQL dashboard spanning store-level sales, mall/outlet lease commercials and MBO performance, with auto-computed PSFPD, KPIs and trend analysis.
Extends into
LS-PMS — a Project Management System layered onto the same dashboard for the Projects arm, across core, workflow, automation and portal modules with shared authentication.
Used for
Renewal, exit and renegotiation decisions taken directly off the store-level views by Finance and leadership.
source of truth for ops
1
auto-computed per store
KPIs
stores under one platform
100+
  • Next.js 15
  • Prisma 6
  • PostgreSQL
  • Custom JWT auth
  • Recharts
02LiteStore · Finance

Automatic P&L Engine

Store-level profit & loss, computed without touching a sheet

Profitability per store used to live in manual spreadsheets assembled after month-end. This engine computes a store-level Gross P&L automatically from the live sales data and lease commercials already flowing through the platform.

Diagram of POS sales, lease commercials and cost lines feeding an automatic P&L engine, beside a store P&L table
Breakeven analysis screen showing capex invested, lease tenure and a cumulative gross profit curve crossing the capex line
Inputs join into a computed store-level Gross P&L
Built
An automatic Gross P&L view joining each store’s sales against its month-wise lease commercials and cost lines, recomputing as new POS data lands — no manual consolidation step.
Feeds
The same renewal / exit / renegotiation decisions leadership runs off the dashboard, now with profitability attached, not just top-line sales.
Backed by
The lease module — a single system of record holding terms, month-wise commercials and executed agreements for every store, replacing an externally procured tool.
manual consolidation steps
0
recompute on new POS data
Nightly
  • PostgreSQL
  • Prisma
  • Automated joins on live POS data
  • Lease commercials module
03LiteStore · AI

LEXA — RAG Legal Assistant

A multi-agent chatbot that reads lease agreements and answers in plain language

Retail lease agreements and revenue-share agreements are dense and repetitive to query by hand. LEXA retrieves the right clauses and answers questions against them, built and hardened across multiple versions.

LEXA architecture: PDF lease documents ingested into a vector store, queried by a supervisor agent with retrieval, summarisation and validation tools
Supervisor-plus-tools retrieval over scoped lease documents
Architecture
A supervisor-plus-tools multi-agent design on AWS Bedrock (Claude Sonnet + Haiku), with Supabase pgvector for retrieval — built in n8n and iterated v4 → v5.
v5 added
Postgres-backed chat memory and scoped vector retrieval, so answers stay grounded in the correct document set rather than the whole corpus.
Alongside it
Two organisation-wide Generative AI workshops for the Design and Marketing teams — now part of their day-to-day workflow.
iterations hardened in production
v5
org-wide AI workshops run
2
  • AWS Bedrock (Sonnet + Haiku)
  • Supabase pgvector
  • n8n
  • Multi-agent (supervisor + tools)
  • Postgres chat memory
04LiteStore · Data / Ops

Sales Data Pipelines & Automations

The automated backbone that reports revenue with no human input

Every downstream system — the dashboard, the P&L, the revenue-share numbers — depends on clean sales data arriving reliably from dozens of stores and POS systems. This is the orchestration layer that makes that happen automatically.

A large n8n workflow graph ingesting POS and SFTP feeds, branching through aggregation and validation nodes into scheduled report delivery
The ingestion workflow — POS and SFTP feeds through to delivery
Ingestion
n8n workflows pulling from multiple POS systems (Wondersoft, eShopaid, SOAP APIs) and SFTP brand feeds, consolidating multi-store data from brands like Kisah, Bewakoof and FLXY into Supabase.
Logic
Automatic application of Net Sales and Retail Sales definitions plus GST consolidation — reaching ~98% automation of monthly aggregated sales as a single auditable source of truth.
Reporting (ADSR)
An unattended daily / weekly / monthly reporting engine serving 100+ partner brands across FLXY and THE RACK, with a validation layer flagging duplicate transactions and missing sales dates.
Messaging
A WhatsApp automation pipeline (Evolution API on EC2 + n8n + Chatwoot) for omnichannel CRM, and a WhatsApp-to-daily-report flow for the Projects team.
aggregation automated
~98%
brands auto-reported
100+
reported downtime
0
  • n8n
  • Supabase
  • SFTP
  • POS APIs
  • Evolution API
  • Chatwoot
  • Apps Script
05LiteStore · Web

STRETCH Premium Outlets — Website

A scroll-driven brand site for LiteStore’s premium-outlet format

STRETCH is LiteStore’s premium outlet-centre format. The site was ideated and built fully in-house to an Awwwards-grade standard — a scroll-driven experience carrying the brand’s signature “stretched letterform” device.

STRETCH Premium Outlets homepage with the STRETCH wordmark clipped over a photograph of the outlet centre at golden hour
The clipPath wordmark over the Attibele outlet centre
Craft
A complex SVG clipPath wordmark effect, a day/night theme system, and scroll-linked motion — built on Next.js and being extended into Framer sections.
Brand system
Space Grotesk + Lato type; Stretch Gold (#FDB52E), Midnight Navy (#101342), Retail Red (#D13220); tagline “Great Brands. Great Prices. / Worth the drive.” First location: Attibele, Bengaluru.
AI production
Veo 3 brand-specific prompt packs for AI video, a Claude Code skill package for the build, and an AI creatives production guide.
in-house, no agency
100%
  • Next.js
  • SVG clipPath / motion
  • Framer
  • Day-night theming
  • Veo 3
stretch-website.litestore.co.in
06LiteStore · Web

LiteStore — Website

Audited, rebuilt and owned in-house — no agency, no retainer

The primary LiteStore web property — audited, taken in-house and now maintained directly, removing external agency development and retainer cost. Managed alongside the FLXY site.

LiteStore homepage with the LiteStore wordmark over a photograph of a bright retail store interior
litestore.in — Retail-as-a-Service platform
Ownership
Full control of the codebase and content, with updates shipped in-house instead of routed through an agency cycle.
Sibling property
The FLXY brand site — audited and managed under the same in-house model.
brand sites taken in-house
2
  • Next.js / React
  • In-house CI/CD
  • Cloudflare
  • Self-hosted infra
litestore.in

Education & credentials

An engineer's training, pointed at operating problems.

A computer science degree, an internship that turned into a Founder's Office seat, and the credentials collected on the way.

  1. 2018Higher SecondaryShri Vaishnav Academy78.6% · 83%
  2. 2020B.Tech, Computer ScienceSVVV, IndoreCGPA 8.09
  3. 2024Front-End Developer InternRSL Soft TechFirst production codebase
  4. 2025Automation InternIncentivA content operation, automated
  5. 2025Founder's OfficeLiteStore, BangaloreOwns the technology layer
  • 2020 — 2024Indore, India

    Shri Vaishnav Institute of Information TechnologySVVV

    B.Tech, Computer Science Engineering

    Shri Vaishnav Institute of Information Technology logo

    CGPA 8.09

  • 2018 — 2020Indore, India

    Shri Vaishnav Academy

    Higher Secondary & High Secondary

    Shri Vaishnav Academy logo

    78.6% · 83%

Certifications

1 held
  • Founder's Office Fellowship logoFounder's Office Fellowship

Outside the work

Seven things I give real time to.

Most of them are the day job in disguise — take something apart, learn why it works, put it back together better.

01 / 07Playing Guitar

Indie folk, mostly. The fastest way I know to stop thinking about work.

The artifact

The one-page version.

Everything above, on a single page. The file starts downloading the moment you click — the animation is only the receipt.

  • PDF
  • 1 page
  • 125 KB
  • Updated September 2026

Resume · text version

Akshat Lambhate

Founder's Office · Business Automation · Bangalore, India

Summary

Founder's Office generalist owning the technology layer of a Retail-as-a-Service business — sales data pipelines, internal operating platforms, AI systems and IT infrastructure. Ships production systems that replace external dependencies and put live commercial data in front of leadership.

Experience

Business Automation Lead, Founder's Office — LiteStore

Sept 2025 — Present · Bangalore, India

  • Architected an orchestrated sales pipeline (n8n, SFTP, POS APIs → PostgreSQL) that ingests every store’s data with no human input, reaching ~98% automation of monthly aggregated sales as a single auditable source of truth.
  • Deployed an unattended daily/weekly/monthly reporting engine serving 100+ partner brands across the FLXY and THE RACK formats, absorbing the operations team’s full reporting workload with no downtime.
  • Built a central operations dashboard (Next.js, Prisma, PostgreSQL) spanning store sales, lease commercials and MBO performance, with auto-computed PSFPD and a store-level Gross P&L used by Finance and leadership for renewal and exit decisions.
  • Automated recurring invoice generation integrated with Zoho Books to replace a licensed platform, plus a validation layer flagging duplicate transactions and missing sales dates.
  • Delivered an end-to-end lease module holding terms, month-wise commercials and executed agreements for every store, replacing an externally procured tool.
  • Shipped a RAG-based legal assistant for lease and revenue-share agreements on AWS Bedrock (Supabase pgvector, multi-agent), and ran two org-wide Generative AI workshops now embedded in Design and Marketing workflows.
  • Deployed Snipe-IT for organisation-wide IT asset tracking, replacing a paid subscription with an auditable register covering assignment, custody and status.

Software Developer Intern — LiteStore

June 2025 — Aug 2025 · Bangalore, India

  • Built the core data structure and a live store-portfolio dashboard, automating sync to Google Sheets and cutting data latency by 90% via API-driven updates.

Software Developer Intern (Automation) — Incentiv

Apr 2025 — June 2025 · Remote

  • Built end-to-end social media automation in n8n, Make and Lindy with AI-generated creatives, plus auto-scheduling and cross-platform distribution, cutting time-to-publish by ~70%.

Front-End Developer Intern — RSL Soft Tech Pvt. Ltd

Jan 2024 — May 2024 · Indore, India

  • Gained hands-on experience in the MERN stack; implemented secure JWT authentication and authorization mechanisms for client projects.

Education

B.Tech, Computer Science Engineering — Shri Vaishnav Institute of Information Technology (SVVV) · CGPA 8.09

2020 — 2024 · Indore, India

Higher Secondary & High Secondary — Shri Vaishnav Academy · 78.6% · 83%

2018 — 2020 · Indore, India

Skills

Languages
Python · JavaScript · TypeScript · SQL · Java · C++
Stack
Next.js · React · Node.js · Prisma · PostgreSQL · Supabase (pgvector) · Docker
Cloud & AI
AWS (EC2, S3, Bedrock) · n8n · RAG & multi-agent systems · Zoho Books · Google Workspace

Certification

Founder's Office Fellowship