01
Source
Find the signal
Python Apify Apollo LinkedIn
Nikhil Raj PKGrowth Engineer · Marketing Ops & GTM Systems
Marketinginstinct.Engineeringdiscipline.Livesystems.
I'm a digital marketer who builds the systems growth runs on — pipelines, CRM logic, qualification and reporting that hold up in production.
5 systems in production·79 workflow executions·37/37 tests passing
Who am I
A decade of marketing, rebuilt on an engineering base.
Most growth engineers started with code and are learning marketing. I went the other way — B.Tech in Computer Science, ten years of marketing judgment, now building the systems growth actually runs on.
2016–2021
Marketing Foundations
Campaigns, landing pages, creative ops
2022–2023
Acquisition & Analytics
Google Ads, GA4, tracking architecture
2023–Now
Growth Engineering
Data pipelines, AI qualification, human-in-loop outbound — live in production
GTM Stack Map
Tools matter less than the handoffs.
I'm a digital marketer at the core — campaigns, paid media, creative. The chain below is what I've built around that craft, so every campaign runs on clean data and clear handoffs.
02
Enrich
Complete the record
REST APIs Waterfall logic CSV/JSON
03
Qualify
Score against ICP
LLM APIs Prompt specs JSON output
04
Approve
A human decides
Airtable Review console
05
Send
Reach out, carefully
Instantly Smartlead n8n Webhooks
06
Track
Measure what matters
GA4 GTM MS Clarity
07
Report
One version of truth
Power BI Custom CRM SQL
The marketing craft
Where I come from — and still operate daily.
Google Ads Meta Ads LinkedIn Campaign Manager GA4 GTM MS Clarity Landing Pages / CRO Email Campaigns Figma Adobe Suite Content & Creative Ops
The systems ecosystem
What I build with, integrate, or design workflows around.
Salesforce Zoho HubSpot Clay ZoomInfo Clearbit Make Zapier 6sense Gong Snowflake BigQuery Google Ads Meta Ads Figma GitHub Supabase Next.js FastAPI
Core Systems
The operating layer.
Three lenses on the same job — data, automation, and revenue. Switch between them to see how I approach each layer.
Marketing Ops / GTM Systems
Data becomes useful only after it is cleaned, shaped and routed.
I focus on the layer before campaigns and CRM handoffs: public signals, CSV/JSON structure, source normalization, enrichment prep and data hygiene.
CSV / JSON
Data Shape
Technical Insight
Source Normalization
Python and Apify workflows used to turn scattered public B2B/B2G information into cleaner operating records.
Built Work // Production SystemsProduction work,
Production work,
kept factual.
Real work across data extraction, CRM workflows, paid acquisition and reporting. No fake metrics, no invented outcomes, only systems that can be explained and shown with sanitized proof.
Built
B2G Procurement Data Extraction Workflow
Automated workflows for sourcing and structuring defense and procurement-related contact data from public sources.
Proof to show
Architecture diagram, sanitized extraction log, source map and cleaned output sample.
Read the full system breakdownPythonApifyLinkedIn AdsCRM Workflows
How it flows
01Identify target sources
02Run Python/Apify extraction
03Clean fields
04Prepare CRM-ready output
05Campaign handoff
Measurement & Attribution
The work is the system.
Every system above ships with its measurement wired in: GTM events, GA4 conversions, source-to-CRM attribution and reporting views leadership actually opens. That discipline comes from years of running paid acquisition — where untracked spend is just spending.
Next: the lab — these patterns, rebuilt in the openGTM Events
Configured per campaign
GA4 Conversions
Mapped to pipeline
Source Attribution
Campaign → CRM
Reporting Views
Built in Power BI
Google AdsGA4GTMMS Power BI
5
Systems in production
Breakdowns above
79
Workflow executions logged
n8n, July 2026
37/37
Tests passing
Tender engine v1
14
Production stages tracked
Vehicle tracker
GTM Systems Lab
Production patterns, rebuilt in the open.
Each of these systems already runs in production — their full breakdowns are above. The lab versions are sanitized rebuilds I'm publishing so the code itself can be read. "In progress" means the public version isn't ready yet, not that the pattern is unproven.
Proven in production
Public rebuild in progress
Enrichment Waterfall
Fills in missing contact data by trying one provider, then falling back to the next — so incomplete records get completed and you only pay for lookups that work.
Runs in production as the enrichment stage of the outbound pipeline.
enrichment_waterfall.py
> reading raw_contacts.csv...
Python / REST APIs / CSV + JSONProduction version
Public rebuild in progress
Procurement Signal Harvester
Watches public procurement and tender sources, and turns announcements into structured, CRM-ready records — instead of someone finding them by accident.
Runs in production as automated tender discovery inside the CRM.
Public signal monitor
source_urlqueued
rfp_keywordqueued
company_domainqueued
Python / Apify / n8nProduction version
Public rebuild queued
Inbound Signal Router
Takes an incoming lead, applies routing rules to decide who owns it, updates the CRM and alerts the team — in seconds, not next-morning.
The same event-driven pattern powers the production approval-to-send flow.
WEBHOOK
→Slack AlertLead parsedroute: gcc
Webhooks / n8n / Slack APIProduction version
Public rebuild queued
LLM Account Qualification
Scores a company against a written ideal-customer profile and returns structured JSON with its reasoning. A human still makes the final call — by design.
Runs in production as the AI qualification stage of the lead pipeline.
{ "fit_score": 78,
"reason": "fleet and procurement signal present" }
"reason": "fleet and procurement signal present" }
LLM APIs / JSON / ICP rulesProduction version
Interface Layer // Conversion Systems
Visual trust,
engineered for action.
The interface is part of the GTM system. I use visual hierarchy, landing page structure, proof placement and production detail to make complex B2B offers easier to understand, trust and act on.
Asset Workflow
Visual Asset Systems.
Controlled visual workflows for turning technical products and industrial complexity into credible campaign assets, launch visuals and sales-supporting media.
STBY // RAW_LOGTC: 00:14:52:18
CODEC
PRORES_422_HQ
COLOR_SPACE
S-LOG3_NATIVE
Toggle Visual System
Product & Detail Imagery.
Image direction focused on material clarity, product credibility and the small visual details that shape trust.
Detail_Audit_Active
Scan for Detail Integrity
UX / UI & CRO
Conversion
Interface.
Landing pages and campaign interfaces work best when message, hierarchy, proof and form logic are aligned. This layer connects design decisions with marketing operations and lead flow.
FigmaHTML/CSSForm LogicClarity ReviewAI Asset Direction
Base_Layout_v1
STATE:BASE
Background
A marketing path with a technical base.
My career has moved through campaign execution, websites, acquisition, CRM workflows, analytics, and data systems. The common thread is operational: making the visible parts of marketing work through cleaner systems underneath.
Root Foundation
B.Tech in Computer Science
Mar Athanasius College of Engineering
Systems LayerUAE (Global Markets)B2B / B2G Defense Solutions
2023 - PRESENT
Marketing & Digital Transformation
Mahindra Emirates Vehicle Armouring
“Working across digital marketing, CRM workflows, data extraction, and global campaign operations for high-consideration markets.”
B2G Lead Sourcing
Focus Area
CRM Workflow Support
Focus Area
Relevant Work:
Worked with custom CRM workflows and pipeline visibility requirements.
Used Python and extraction workflows to support targeted lead sourcing.
Supported digital campaigns and assets for Middle East, Africa and global market activity.
PythonApifyCRMPower BI