GTM Engineer · Bengaluru · currently shipping

I build the robots that do the boring parts of sales.

So humans can do the fun parts. I'm Revathy: GTM Operations at AI Intime and Vegam Solutions, where I turn messy lead lists, job postings and CRM chaos into tools the sales team actually uses.

See the machine ↓ Hire the human

psst: type hire anywhere on this page.

Revathy RadhakrishnanRR

drag me · poke me · ignore me and I'll nap

About me
Revathy Radhakrishnan

Hi, I'm Revathy.

I'm a GTM Operations Associate at AI Intime, part of the founding team and reporting directly to the founder, and a Sales and Marketing Associate at its parent company, Vegam Solutions, in Bengaluru. We sell manufacturing software and industrial AI to chemical, batch and discrete manufacturers, mostly in the US.

I started out building lead lists and running outbound campaigns by hand. Then I got curious about why so much of it was manual, and started building the tools that do it instead: buying-signal engines, account research, lead cleaning, CRM data operations and n8n automation. Today eight of those tools are live on our internal tools server, and you can see them below.

I like problems that sit between people, data and process, and I care about tools that are cheap to run, honest about what they know, and actually used by the sales team.

Based inBengaluru, India
Experience2 years in GTM, plus a 3-year internship at Vegam
EducationB.Sc. Electronics, KLE Technological University · CGPA 8.72
CertifiedHubSpot Inbound Marketing
I build withn8n, Claude Code, Python, Docker, Apollo, Twenty CRM
Looking forGTM engineering, GTM operations and growth roles
⬇ Download my resume PDF Email me LinkedIn ↗
Personal dossier · File 026

Case file: who is Revathy?

An investigation into one curious operator. Evidence pinned below. Proceed with caution: subject may start automating your workflow.

FILE 026
PERSONAL DOSSIER

THE CURIOUS OPERATOR

SUBJECT: Revathy Radhakrishnan
GTM | Growth | AI Workflows | Market Intelligence
Revathy Radhakrishnan
the suspect ♡

MISSION

To investigate problems at the intersection of industry, technology and people, and build practical, human-centred solutions that create real business value.

Big dreams.
Bigger learning.
Same curiosity. ♡

IDENTITY

  • 👤Sales & Marketing Associate at Vegam Solutions; GTM Operations at AI Intime
  • 📍Bengaluru (for now)
  • 🎓B.Sc. Electronics, KLE Technological University · CGPA 8.72
  • ⚙️HubSpot Inbound Marketing Certified
Investigate.
Understand.
Ask "what if?"
Build.
Repeat. ♡
Curious
Capable
Kind
Chaotic (organising)
Driven
— Revathy ♡

CORE STRENGTHS

🔍Curiosityasks better questions
📄Researchconnects dots
⚡Executionideas into action
✏️Communicationwrites, presents, creates
⚙️Systems thinkingbuilds workflows
🔀Cross-domainmarketing → tech → industry
💡Storytellingmakes complex simple
♥Resiliencekeeps going

EVIDENCE 1: GTM & RESEARCH

  • Built GTM signal engines that combine events and signals from multiple platforms
  • Used the Gemini and Claude APIs
  • Built Event Radar and the GTM Data Flow tool
  • Created a signal taxonomy and pain graphs
  • Generated target lists for each ICP
event-radar-sooty.vercel.app ↗ gtm-data-flow.vercel.app ↗

EVIDENCE 2: AUTOMATION & TOOLS

  • Connected 20 CRM accounts using n8n
  • Integrated multiple CRM tools via webhooks
  • Read and processed people data
  • Automated parts of outbound workflows
  • Worked with Clay, Apollo, Instantly, Dripify, Wiza and Lusha
GPT → Apollo / LinkedIn → n8n → Clay → Instantly / Dripify = a scalable pipeline 🤖

EVIDENCE 3: PRODUCT & MARKETING

  • Positioning and go-to-market for industrial and enterprise AI products
  • Website strategy and content for Vegam Solutions and AI Intime
  • Industry pages, use cases and the AI ROI Map
  • Competitor and market-positioning research
  • Supported event planning (PartnerConnect 2025)
  • Marketing content: videos, posts, creatives

EVIDENCE 4: OUTREACH & PIPELINE

From research to real conversations.

  • Personalised outbound across email and LinkedIn
  • Cold prospects turned into qualified meetings
  • Lists built and validated before a single email went out

Small conversations today, bigger opportunities tomorrow. ♡

EVIDENCE 5: CONTENT & STORY

  • Use-case explainer videos (BOM extraction, lab reports, instrument printouts)
  • Designed visual concepts and website content
  • Built the AI ROI Map and industry narratives
  • Experimented with creative formats to explain complex ideas

ONGOING INVESTIGATIONS (2026 →)

  • Master pipeline automation and n8n
  • Generate 10 discovery calls a month
  • Build thought leadership (3–4 LinkedIn posts a week)
  • MBA in Marketing
  • Get into a Growth / SDR role
  • Better health and fitness (−5 kg)
  • Build financial stability (investments, iPhone 17 🎧)
  • New hobbies, travel, and a life I'm proud of ♡

THE BIGGEST CRIME AGAINST COMMON SENSE

Asking for a master plan before finishing the last 12 side quests.

VERDICT ⚖️
High curiosity. Chronic overthinking. Too many ideas. But always learning, always building, and never giving up.

FINAL NOTES

  • Keep being curious
  • Go deeper, not just broader
  • Finish what I start
  • Turn ideas into measurable impact
  • You're doing better than you think ♡
The receipts

Numbers, because "very hardworking" isn't a metric.

All from the last two years. No rounding up to the nearest billion.

8internal GTM tools builtwith AI-assisted development
41n8n workflows moved from Cloud to self-hosted41 of 41. Nobody left behind.
8,806CRM records backfilled from HubSpot99% matched. Zero records harmed.
63→92website technical health, out of 10013 audit cycles. Many fonts were scolded.
5→13Lead Research benchmark score, out of 15v1 vs v2, same lead, one day apart
20,000companies enriched, filtered and scored by n8ninstead of by my eyeballs
10,000+ICP-aligned leads validatedUS, India, Gulf, Australia, Mexico, NZ
5,900+companies on one account list, every row web-checkedyes, every row
Proof, not promises

The real tools. Live, in production.

These are actual screens from the tools I built, running today on our internal sales tools server (VPN only, so no public links). Pick a tool, then step through a real task from start to finish.

Proof

    Screens captured from the live tools, using saved results only (no new paid searches). Most frames blur company and contact details. The Decision Engine walkthrough and the Account Pyramid's outreach steps are the exceptions, shown in full (with phone numbers removed): the facts in them come from public sources. The Data Cleaner steps use a dummy file.

    The GTM machine

    Feed it a cold lead. Get a meeting.

    This is how my tools fit together, from "who is this company" to "a human is booking a call". Press the button and watch it go.

    1. Sensesignals
    2. QualifyICP fit
    3. Researchmeeting prep
    4. Enrichemails
    5. Score + syncCRM
    6. Meethumans only
    A cold lead is waiting. It has no idea what's about to happen.

    Simplified. The real architecture has 6 stages, 5 layers and considerably more arrows.

    Same pipeline, terminal edition, for people who skipped the button:

    
    
    
  
    

    


    
  
    
    The blueprint
    
    How I'd build your GTM stack.
    
    
    This is the architecture my tools already run at AI Intime: six stages, one shared signal record, and an account heat score deciding what happens next. Click a stage to open it.
    
    
    
      
    
      
    
        
    
        
    
        
    
          
    My tools on this stage
    
          
    What flows out
    
        
    
      
    
      
    Under every stage, the same rails: one Signal Card contract → a staging table → dedupe by web domain → the CRM. A heat score with 30-day decay routes each account: hot → book the meeting · strong → run the research · medium → keep nurturing · market-level → feed content.
    
    
    
  
    

    


    
  
    
    Collect them all
    
    My tools, as trading cards.
    
    
    Eight tools I built for the sales team (one co-built). Click a card to flip it and see what it really does.
    
    
    
  
    

    


    
  
    
    Personality check
    
    Which of my tools are you?
    
    
    Five questions, one trading card at the end. Exactly as scientific as it sounds.
    
    
    
  
    

    


    
  
    
    
    
      Fiscally responsible robots
      
    I'm cheap. For robots.
    
      
    AI tools are easy to build and easy to overspend on. Every tool I ship gets a budget before it gets a launch party: prompt caching, search caps, free-tier data sources and monthly spend limits that actually stop spending.
    
    
    
    
    
      
    RECEIPT #0001
    
      
    Lead research report (before)~$3.00
    
      
    Prompt cachingapplied
    
      
    Web searches per report20 → 12
    
      
    Projected cost (after)$1.00–1.40
    
      
    New tools on free-tier datayes
    
      
    Monthly spend capsenforced
    
      
    Surprise invoices0
    
      
    *** THANK YOU, COME AGAIN ***
    
    
    
  
    

    


    
  
    
    Experience, as patch notes
    
    Release history
    
    
    Every version shipped to production. Known issues disclosed in the interest of transparency.
    
    
    
      
    
        
    v2.0Oct 2025 →
    
        
    
          
    GTM Operations Associate
    
          
    AI Intime (a Vegam Solutions company) · founding team, reporting directly to the founder · Bengaluru
    
          
      
            
    • Built 7 internal GTM tools end to end and deployed them with Docker, including Event Explorer: which target companies showed up at past events, and who spoke
      • 
            
    • Co-authored the Lead Research engine with a teammate and packaged it as a Claude Code skill and plugin
      • 
            
    • Designed the "Path to Sales" architecture: signal tools → shared signal record → CRM
      • 
            
    • 9 n8n workflows scoring a 20,000-company list; moved all 41 workflows to self-hosted n8n
      • 
            
    • 29 custom CRM fields; 8,806 of 8,875 records backfilled from HubSpot
      • 
            
    • A 5,900+ company account list, every single row checked on the web
      • 
            
    • Co-authored the aiintime.com website content with the team
      • 
            
    • SEO, AEO and GEO audit cycles: technical health 63 → 92, Lighthouse performance 99–100
      • 
            
    • GA4 conversion-funnel events and a UTM link builder
      • 
            
    • LinkedIn content system: 94-idea plan, 18 flagship posts, carousel pipeline
      • 
            
    • Code-built product explainer videos
      • 
            
    • Fixed an authentication bypass in the product sandbox signup
      • 
            
    • Known issue: writes a handoff document for literally everything
      • 
            
    • Known issue: says "one last feature" at 6:58 pm
      • 
          
    
        
    
      
    
      
    
        
    v1.0Oct 2024 →
    
        
    
          
    Sales and Marketing Associate
    
          
    Vegam Solutions · Bengaluru
    
          
      
            
    • Generated, enriched and validated 10,000+ ICP-aligned leads across six regions
      • 
            
    • Personalised outbound across email and LinkedIn that turned cold prospects into qualified meetings
      • 
            
    • Account lists for manufacturing software, from power plants to food and beverage
      • 
            
    • Researched 390+ software directories; listed AI Intime on 32+, including G2, Capterra and Product Hunt
      • 
            
    • Known issue: realised most of this could be automated (see v2.0)
      • 
          
    
        
    
      
    
      
    
        
    v0.1Jun 2021 – Oct 2024
    
        
    
          
    Intern, Application Engineer
    
          
    Vegam Solutions, Hubli-Dharwad branch · alongside a B.Sc. in Electronics (Industry Track), KLE Technological University
    
          
      
            
    • Digital maintenance workflows, SOP configuration and asset data mapping
      • 
            
    • Known issue: also had exams
      • 
          
    
        
    
      
    
    
    
  
    

    


    
  
    
    Side quests
    
    Also, the marketing stuff.
    
    
    GTM is not just pipelines. Some days it's fonts, funnels and a voice-over.
    
    
    
      
    Website doctor
    13 SEO, AEO and GEO audit cycles on aiintime.com. Health score 63 → 92, zero accessibility violations, structured data and security headers added.
    
      
    Traffic plan
    Keyword research, a blog calendar, new blog posts and a new use-case page, plus GA4 funnel events so we know what actually converts.
    
      
    Explainer videos
    Product use-case videos, built with code. Yes, code. The cursor moves on its own.
    
      
    LinkedIn engine
    A content system for the company page: 94 post ideas across 10 pillars and 18 flagship posts with carousels.
    
      
    Context and skills files
    The product context every tool and post reads from, plus Claude skills and plugins built on it, so the robots all tell the same story.
    
      
    Look-alike and competitor research
    Look-alike account lists, competitor maps that show who decides on AI and how to get in, and meeting-prep briefs for leadership sales calls.
    
    
    

    
    Toolbox
    
    
    
      n8nClaude CodeClaude APIApollo
      LinkedIn Sales NavigatorInstantlyProspeoZeroBounce
      ClayTwenty CRMHubSpotJustCall
      PythonFastAPINext.jsDockerGit
      ApifyGA4LighthouseTechnical SEO
    
    
  
    

    


    
  
    
    Last stage of the machine
    
    This is where a human books a meeting.
    
    
    Looking for someone who can build your outbound machine and still enjoys talking to people? That's me. I reply faster than my n8n schedules.
    
    
    
      revathyradhakrishnan2412@gmail.com
      LinkedIn ↗
    
    
    
    or punch the tiny Revathy in the corner (she's wearing gloves now) to copy my email 🥊