GTM ENGINEER · AI AUTOMATION · BENGALURU, IN

I build GTMsystems that turnsignals into pipeline.

I design the infrastructure behind modern outbound: ICP definition enrichment AI research signal-based targeting routing reporting

Built and operated systems generating 1,500+ ICP-qualified leads per quarter across data, automation, outreach, and deliverability.

View the systems Contact me
~/nishchith/gtm-engine.live
01$ define --icp accounts,people,signals
02→ 1,500+ ICP-qualified leads / quarter
03$ enrich --clay --ai-research --validate
04→ company → person → signal → qualification
05$ route replies --auto-halt-on-reply
06→ email · LinkedIn · WhatsApp · CRM
07$ handoff --sops --dashboard --audit-trail
08 status: SHIPPED ✓
1.5K+
ICP / quarter
50K+
Prospects
100+
Hours saved
11+Events GTM'd
25+Tools in production
1,500+ICP leads / quarter
40%ICP → conversion
Clay◆n8n◆Instantly◆Apollo◆WBizz◆Zapier◆SuperAGI◆Creatomate◆Leadmagic◆Lusha◆ConnectOut◆Delightloop◆Brevo◆PlusVibe◆Smartlead◆Selzy◆PhantomBuster◆Surfe◆LeadSquared◆Freshsales◆Activepieces◆Brandjet.ai◆ Clay◆n8n◆Instantly◆Apollo◆WBizz◆Zapier◆SuperAGI◆Creatomate◆Leadmagic◆Lusha◆ConnectOut◆Delightloop◆Brevo◆PlusVibe◆Smartlead◆Selzy◆PhantomBuster◆Surfe◆LeadSquared◆Freshsales◆Activepieces◆Brandjet.ai◆
Selected GTM engineering project

Referenceability
with evidence.

A Clay-based GTM intelligence and qualification system that turned raw rehabilitation-company data into validated, suppression-checked, outreach-ready records.

Medical software client · Clay · Heddl · US rehabilitation market

From company data to qualified people.

Built a multi-stage Clay workflow for a referenceability-led outbound campaign targeting US outpatient physical, occupational, and speech-language therapy organizations.

The workflow separated company-level and person-level data, discovered current clinicians, validated roles and company associations using public evidence, matched prospects to known client contacts through exact company-domain logic, and calculated employment-period overlap before qualification.

It then applied suppression across customers, active pipeline, previous campaign batches, duplicates, invalid profiles, unverified roles, missing matches, and missing overlap before preparing personalized routing and campaign fields for Heddl.

ClayStructured AI researchPublic web researchHeddlCSV data modelingGoogle Slides
CLAY WORKFLOW ARCHITECTURE
01ICP + company qualification
02Clinician discovery
03Role + company validation
04Domain + employment matching
05Referenceability qualification
06Suppression + Heddl export
Company → PersonData model separated
Exact domainDeterministic matching
Date overlapReferenceability logic
16-record batchVerified next batch
WHAT THE SYSTEM SOLVED

Prevented clinic/company rows from being treated as individual people.

Returned structured person records with identity, role, company, evidence, and confidence.

Used candidate-domain = past-employer-domain instead of fuzzy company-name matching.

Required employment-period overlap before calling a prospect referenceable.

Kept raw-source tables separate from working, matching, and suppression tables.

Mapped routing fields separately from personalization fields for campaign execution.

Automation case study

Hiring signals
with a human gate.

A SuperAGI and n8n workflow designed to discover Product hiring signals, qualify hiring-manager context, and route reviewable records into the GTM review tracker without unsupervised outreach.

Talentathon · IPL · SuperAGI + n8n + SerpApi

Research first. Approve before outreach.

Designed a controlled hiring-signal campaign for approximately 164 target companies in the GTM review tracker. The workflow converted each company into a Product-hiring search query, processed companies in batches, discovered public job signals through SerpApi, normalized the response, removed duplicates, and validated Product relevance.

SuperAGI handled research, interpretation, and qualification. n8n handled deterministic operations including webhooks, batching, field normalization, duplicate prevention, payload mapping, and Google Sheets writes.

Qualified records were sent to a dedicated Qualified Hiring Managers tab for GTM review. Automatic outreach and BrandJet activation were intentionally disabled until job title, job URL, hiring-manager evidence, and contact quality could be validated.

SuperAGIn8nSerpApiGoogle SheetsHuman reviewWebhooks
N8N + SUPERAGI ARCHITECTURE
01Target companies in GTM review tracker
02Batch + generate job queries
03SerpApi Google Jobs discovery
04Normalize + deduplicate signals
05SuperAGI research + qualification
06GTM review before outreach
~164Target companies
Batch of 10Execution validated
WebhookSuperAGI → n8n handoff
Human-in-loopOutreach held for approval
ENGINEERING DECISIONS

Separated AI interpretation from deterministic workflow operations.

Used stable company, title, and job URL fields for deduplication.

Kept Target Companies and Qualified Hiring Managers as separate data layers.

Added GTM review as the approval boundary before any outreach activation.

Excluded BrandJet from the pilot to avoid acting on weak or false-positive signals.

Identified strict validation still needed for job title, URL, and job-linked evidence.

Proof of work

See the systems
move.

A closer look at the Clay research layer and the n8n orchestration layer behind the GTM systems I build. The motion is designed to make the workflow readable without turning the portfolio into a demo reel.

01 · DATA + QUALIFICATION

Clay workflow

CASE STUDY
Sanitized Clay workflow architecture

Linked tables for company qualification, clinician discovery, role validation, exact-domain matching, employment overlap, suppression, and campaign export.

02 · ORCHESTRATION + REVIEW

n8n workflow

CASE STUDY
Sanitized n8n workflow architecture

Scheduled batch processing, job-signal discovery, normalization, deduplication, qualification, webhook handoff, and human review before outreach.

AVAILABLE FOR GTM ENGINEERING ROLES + PROJECTS

Want the technical walkthrough?

I can walk through the data model, qualification logic, automation design, and the decisions behind each system.

Download résumé ↓
Systems I build

From signal
to pipeline.

I design the layer between GTM strategy and execution: reliable data, automation, qualification, routing, outreach, and reporting.

01

ICP & TAM Systems

Turn a business hypothesis into account lists, personas, segments, exclusions, qualification rules, and campaign-ready targeting logic.

ICP → TAM → segments → rules
02

Enrichment & Research

Build structured company and person-level data using Clay, AI research, APIs, evidence URLs, validation, and deterministic matching.

source → enrich → validate → evidence
03

Signal-Based GTM

Convert hiring, funding, technology, provider, and intent signals into prioritization, qualification, messaging, and timing decisions.

signals → score → qualify → prioritize
04

Routing & Outreach

Connect enrichment, personalization, email, LinkedIn, WhatsApp, CRM, reply detection, and automatic stop conditions.

route → personalize → sequence → stop
05

Data Quality & Deliverability

Protect campaigns with suppression, duplicate checks, role validation, domain authentication, bounce monitoring, and readiness gates.

check → suppress → send safely
06

Reporting & Handoff

Ship dashboards, SOPs, audit trails, Loom walkthroughs, and feedback loops so teams can operate and improve systems independently.

measure → document → hand off
0%
Cold → Paid
6,000 leads · ₹1,499
Cold Email → Paid Registration
3-segment campaign for IPL's AI Workshop. Role-specific copy, credibility hooks, urgency laddering. Caught and fixed SPF/DKIM deliverability mid-campaign on ipl.university without pausing sends.
InstantlySelzyClayApolloDeliverability audit
0
ICP Fills · PLF Hyd '26
2-day AI conf
PLF Hyderabad — 50-day battle plan
Mapped 105 GCC companies (38 product-focused), targeting senior PMs, eng leaders, founders. Coordinated email + WhatsApp + LinkedIn sequences. 140 paid, ICP-defined attendees.
ClayWBizzConnectOutPlusVibeDelightloop
65–70%
Open Rate · All
4× benchmark
Consistent open rates across cohorts
Domain warmup, list hygiene, proper authentication, subject-line A/B every cohort. Not luck — repeatable on demand.
BrevoPlusVibeSmartleadSnov.io
30–35%
Reply Rate
3-channel auto
Multi-touch with auto-halt-on-reply
Email D1 → LinkedIn D3 → WhatsApp D5. Reply detection halts the sequence and routes to CRM. Zero manual sends. Fully n8n + Zapier.
n8nZapierWBizzConnectOutLeadSquared
1.5K+
ICP / Quarter
40% conv
Always-on pipeline · Adaptive Marketing
End-to-end GTM engine: scraping, enrichment, personalised outreach, AI follow-ups, live dashboard. 100+ hrs of manual work eliminated per month.
ClayApolloLushan8nSuperAGISheets
100%
Automated
API-orchestrated
AI video personalisation per prospect
n8n pulls prospect data → Creatomate generates a custom video (name, company, context dynamically injected) → auto-send via email. Zero manual production.
Creatomaten8nOpenAIBrandjet.aiInstantly
// IN FLIGHT

Q3 2026 pipeline

Two more PLF editions in build. Currently mapping 200+ companies across Mumbai and Chennai for expansion.

MumbaiChennai
200companies mapped
How the engine runs

Scrape to handoff.
Every. Single. Time.

Six stages, automated end-to-end. You get a system you can run forever — not a campaign that dies when I leave.

01 ICP Definition title · seniority · signals 02 Scrape + Enrich Clay · Apollo · Lusha 03 Copy + Sequence role-specific · A/B 04 Multi-channel email → LI → WA 05 Score + Route intent ranking → CRM 06 Handoff SOPs · Loom · dashboard
// THE DIFFERENCE — 01
100% documented
Every system ships with SOPs, runbooks, and a Loom walkthrough. Your team owns it day one.
// THE DIFFERENCE — 02
Auto-halt on reply
Reply detection halts the sequence and routes hot leads to CRM. No "still spamming after they replied" embarrassment.
// THE DIFFERENCE — 03
Zero lock-in
Built on tools you can keep using. No proprietary glue. No "only Nishchith can run this".
Events GTM'd

11+ events.
Every seat earned.

No paid ads doing the heavy lifting. Just ICP-defined outreach across email, LinkedIn, and WhatsApp — for product leadership events attended by CXOs from Microsoft, Google, Salesforce, Dr. Reddy's, ADP, Lloyds.

Flagship · Annual · 23rd Edition
PLF Convergence
India's largest product leadership conference. 2-day AI conference format. CXOs from Microsoft, Google, Salesforce, Dr. Reddy's, ADP, Lloyds. Workshops, panels, speed mentoring, Talentathon.
Hyderabad '26 ✓ Bangalore '26 ✓ 2 editions led
194Total ICP fills
Workshop Series · 5 Editions
Skill Festival
(AI Playbook)
Hands-on AI workshops — Agentic AI, Vibe Coding, AI decision-making. Crossed 50 attendees every edition.
BengaluruOnline
50+Per edition
Career Workshop · Bengaluru
CTW / MCT
Bangalore
Mid-career transition workshop for 5+ year professionals. Full-day with career anchor assessments and Talentathon hiring.
4 editions
70+Leads / edition
Career Workshop · Hyderabad
CTW / MCT
Hyderabad
Same format, Hyderabad's GCC product ecosystem. Targeting senior PMs and engineering leaders at scale.
2 editions
70+Leads / edition
Cold City Start · Pune
CTW / MCT
Pune
Expanded to Pune's fintech + product base. Built audience from zero — a city PLF had no prior presence in.
0 → full
70+High-profile leads
// In flight
Q3 2026 pipeline
2 more PLF editions in build. Currently mapping 200+ companies across Mumbai and Chennai for expansion.
MumbaiChennai
200Companies mapped
From the room

People who saw
the work happen live.

Founders, attendees, and the people whose names land in inboxes I built.

Nischith has been a great help all through the registration process — continuous follow-ups, answering every question without hesitation. He made the whole thing smooth and prompt. I highly recommend him for the work he does at PLF.
SA
Shruti Agarwal
Founder · Insight North & DayOneSignal
"He mapped the entire GCC ecosystem, defined ICP down to seniority, and ran sequences across three channels simultaneously. 140 paid attendees speaks for itself."
AA
Arvind Aiyer ↗
PLF · Internal team
"Caught the deliverability issue before it killed the campaign, fixed it on the fly, still hit 9% conversion. That's operator-level attention."
AA
Akash Angadi ↗
IPL · AI Workshop campaign
Try the engine

Personalize
this preview.

Drop your name and company. See what an AI-personalized first-touch from one of my sequences looks like — generated live, in your browser.

// Real sequences inject 12+ data points (role, recent post, company news, mutual connections). This is the demo version.

preview · first-touch email · GENERATED LIVE
Subject line preview will appear here →
Hey [your name],

Saw [your company] is hiring across product and growth — perfect timing.

I've built GTM engines for 11+ events and consistently hit 65–70% open rates on cold. Wondering if a 20-min chat makes sense?

— Nishchith
Tech Stack

25+ tools.
In production.

Not "familiar with" — deployed in live campaigns generating real revenue.

Automation
nn8n ZZapier MMake.com AActivepieces PPabbly
Lead Gen + Enrich
CClay AApollo LLusha SSurfe SSnov.io PProsp LLeadmagic
Cold Email
IInstantly SSmartlead BBrevo SSelzy PPlusVibe
LinkedIn + WhatsApp
LLinkedIn SN CConnectOut PPhantomBuster WWBizz
AI + Video
SSuperAGI OOpenAI CCreatomate BBrandjet.ai
CRM + Events
FFreshsales LLeadSquared DDelightloop RRazorpay TTownscript
Work with me

Let's build
your system.

I'm not a freelancer-by-default. I'm a GTM operator running live campaigns inside IPL and PLF. If your goal is clear, I'll tell you exactly what to build, in what order, with what tools — and hand it off properly.
New task request
// Direct to Nishchith. No drip. No funnel. Just a real conversation.
✓

Got it. Coming back to you.

// In your inbox within 24h. No spam. Just me.

LinkedIn ↗ ushettynischith@gmail.com
/ M,MMMMM