I design and build production-grade AI automation pipelines — B2B sales intelligence, agentic workflows, self-healing systems, document processing and more — on Make.com and connected platforms. 25 years of enterprise operations experience means I build for what fails in production, not just what works in a demo.
Not a theoretical AI consultant. An operations leader who spent two decades building and running complex systems for BT, Telstra, SITA, and Nortel — and now applies that same thinking to designing AI automation that works in the real world.
Senior technical operations across BT, Telstra, SITA, and Nortel spanning telecoms, IT services, and digital transformation. Led CXM platform migrations (Genesys Engage to Cloud), built US telco offshoring frameworks, and managed long-running enterprise delivery partnerships. Currently Senior Technical Analyst at iOPEX Technologies managing the BT relationship.
Founder of Optivantage Technologies. Designs and delivers Gen AI and Agentic AI training programs for enterprise clients — Hexaware, Arvind Group, Kotak Mahindra Bank, MSME Government of India. Builds custom AI awareness curricula, prompt engineering frameworks, and live demonstration scenarios adapted to each organisation's context and maturity level.
28+ production Make.com scenarios spanning B2B sales pipelines, support triage, document intelligence, HR automation, voice AI, self-healing and self-evolving agents. Builds automation that handles real complexity — multi-step API chains, conditional routing, error recovery, and retry logic. Documentation and handover included on every engagement.
Every NOW use case is already built and deliverable. Every NEXT use case is a direct extension of existing work. FUTURE use cases reflect where I am actively building skills and positioning — so when that demand arrives, I'm already there.
Signal-to-outreach automation. Deanonymise site visitors, pull intent signals, enrich via API, validate email through 5-branch logic, create CRM contact, deliver personalised outreach sequence. End-to-end with zero SDR involvement.
Webhook receives lead context. Pulls versioned prompt templates from a live spreadsheet. A/B routes between prompt variants. Generates personalised first-touch cold emails per lead. Marketing teams update messaging without touching the code.
Webhook receives ticket. AI classifies type, priority, SLA risk. Routes to correct Slack channel. Escalates critical tickets automatically. Built and live for Hexaware — 9 executions, 28 operations. Adaptable to any service desk setup.
Triggers on new PDF or DOCX upload. Extracts text, AI analyses and scores, routes output to CRM, Slack or Sheets. Built for SDLC analysis and financial results. The same pattern works for contracts, invoices, proposals, and compliance documents.
Monitors drive folder for new CVs. Extracts content. AI scores against job criteria. Strong match triggers recruiter email; weak match logs to review sheet. Eliminates manual first-pass screening for hiring teams at any scale.
Monitors cloud storage for new notes or recordings. AI extracts action items, decisions, and owners. Sends formatted summary by email. Logs to sheets. Saves 20–40 minutes of manual write-up per meeting across the whole organisation.
Pipelines that detect their own failures and recover. AI classifies the error, selects a recovery path, retries with corrected parameters, escalates to human fallback only if retry fails. Production automation that doesn't need babysitting.
Agent rewrites its own system prompt based on outcome feedback. Bad runs trigger AI-driven improvement. Good runs lock the version. Gets smarter every cycle without manual intervention — a foundation for autonomous AI improvement at scale.
AI conducts customer verification or onboarding calls. Webhook processes logs — AI extracts structured data, flags anomalies, routes escalations. Compliance-ready audit trail auto-generated. High demand in BFSI and customer operations.
Instead of waiting for questions, the agent monitors data sources on a schedule, detects anomalies or threshold breaches, and pushes insights to Slack before anyone notices. Reactive reporting becomes proactive operations intelligence.
Monitor inbox. Classify by intent and urgency. Route to the right team or draft a response automatically. Log sentiment trends. Escalate anomalies. Reduces email handling time by 60–80% for high-volume operations inboxes.
A coordinator agent delegates complex tasks to specialist sub-agents — research, writing, fact-checking, formatting. Each runs independently, returns results, the coordinator synthesises. Humans only see the final output. Scales output without scaling headcount.
NOC/SOC replacement for L1 operations. Incidents detected, classified, escalated, and partially resolved by AI before a human is paged. Runbook-driven autonomous remediation. The logical evolution of triage + self-healing work already delivered.
AI monitors transactions and communications against policy rules in real time. Flags anomalies before violations occur. Auto-generates audit trails. Critical for BFSI — natural extension of the SDLC document analyser already built for banking.
An AI that knows your company's policies, processes, and history — answers employee questions in real time. Auto-updates when documents change. Onboards new hires. Reduces L1 HR and IT support queries by 70%+. The internal helpdesk of the next decade.
CRM stays clean without human effort. Deals auto-progress on signal triggers. Pipeline gaps flagged proactively. Forecast anomalies raised before the board meeting. RevOps teams shrink while output grows — the full automation of the GTM function.
A single signal — visit, email open, support ticket, or social mention — triggers a coordinated response across email, WhatsApp, and Slack. The experience feels personal and timely. Every touchpoint logged, measurable, and optimised continuously.
Monitor supplier signals, price changes, and availability automatically. AI generates RFQs, evaluates responses, flags anomalies. Connects to ERP via API. Reduces procurement cycle time significantly — directly relevant to distribution and manufacturing verticals.
| Scenario | Stack | Relevance | What it demonstrates |
|---|---|---|---|
SDR Email Coach Webhook → Versioned Prompts → A/B Router → Email |
Make.comWebhookGoogle SheetsOpenAI |
Sales outbound automation |
Prompt versioning without redeploy. A/B routing on live data. Personalised outreach at scale without manual SDR involvement. |
Hexaware — AI Support Triage Webhook → AI Classify → Route → Slack Alert |
Make.comOpenAISlack |
Signal routing & triage |
Live client build. 9 executions. AI classification with conditional routing and human escalation path already in production. |
AI Recruiting Pipeline Drive → PDF Extract → AI Score → Route → Log |
Make.comPDF.coHTTP APIAI Agent |
Multi-step pipeline architecture |
Signal → enrich → validate → route → act. The fundamental pattern behind any complex automation pipeline. |
Self-Healing Agent Process → Detect Failure → Classify → Retry → Escalate |
Make.comOpenAIJSON |
Agentic error recovery |
Pipelines that recover from failure autonomously. Retry logic, fallback routing, and human escalation built in. |
Self-Evolving Agent (Dynamic Prompt) Feedback Loop → AI Rewrites Prompt → Version Lock |
Make.comOpenAIGoogle Sheets |
Autonomous AI improvement |
Agents that improve themselves over time. Rare capability that demonstrates next-generation automation thinking. |
Bolna Voice AI — KYC Call Logs Call Webhook → AI Extraction → Structured Log → Sheets |
Bolna AIMake.comOpenAI |
Voice AI pipeline |
Voice AI integration with structured data extraction and compliance logging. Growing demand especially in BFSI and customer ops. |
Production-grade Make.com pipelines — B2B sales intelligence, support triage, document processing, HR screening, self-healing agents, voice AI integrations, and agentic systems with feedback loops. Every build includes full error handling, documentation, and handover notes.
Yes. Based in Dwarka, New Delhi, India. Delivering globally — clients across India, UK, USA, Southeast Asia, and the Middle East. All project work is fully remote with clear async communication. Book a discovery call to discuss your project and timeline.
Make.com as the primary orchestration layer. Integrations include OpenAI, Anthropic Claude, Google Workspace, Microsoft 365, HubSpot, Apollo, Clay, ZeroBounce, NeverBounce, Instantly, Lemlist, Slack, Bolna AI, Perplexity AI, and custom HTTP API connections. I adapt to the client's existing stack where possible.
Simple automations (3–5 modules, single workflow) can be delivered in days. Complex pipelines — multi-step API chains, conditional routing, error recovery, and CRM integration — typically take 2 to 4 weeks to scope, build, test, and hand over. Book a call for a scoped estimate specific to your requirements.
Make.com automation follows pre-defined rules and conditional logic. Agentic AI goes further — the AI makes contextual decisions, detects its own failures, rewrites its own prompts, and takes autonomous action without a human intervening. I build both, and have delivered self-healing and self-evolving agents that combine both approaches.
Yes, on every engagement. Each scenario ships with inline module documentation, clearly labelled API swap points, and handover notes your team can follow. Training sessions are available as an add-on. The goal is always that your team can maintain and extend the build independently after delivery.
Whether you have a clear brief or just an idea of the problem you want to solve — book a 30-minute discovery call. No obligation, no pitch deck. Just a direct conversation about what you need and whether I'm the right person to build it.