Ajay Wankhede

AI Workflow Automation Specialist | Make.com · n8n · GPT | Helping Teams 10x Output with No-Code AI · Indore, Madhya Pradesh, India

As an AI Workflow Automation Engineer, I bring a meticulous and organized approach to designing efficient systems, always striving for pragmatic solutions. My ambitious drive ensures accountability in every project, while my approachable nature fosters seamless cross-functional collaboration and client success.

Experience

AI Workflow Automation Engineer

Syvora · Jul 2026 – Present

Not yet confirmed

• • Built CS Decision Engine v2.0 on n8n Cloud: a Gmail → Claude AI → decision tree → Slack pipeline that eliminated 80% of manual customer support review across refunds, fraud flagging, and subscription cancellations.
• Deployed to production; source at github.com/ajayw-ai/cs-decision-engine.
• • Engineered the Claude AI classification node to return structured JSON (intent, recommended_action, confidence) consumed by a downstream decision tree — LLM orchestration as a reasoning layer, not a chatbot.
• Zero false-positive refunds in production since deployment.
• • Designed end-to-end agentic workflows for DeFi operations (Nexosphere Finance, ZeroDrift, NovaLendX) covering automated triage, fraud escalation, and subscription lifecycle management — owned design, build, and deployment solo.

T

Business Development Specialist

THIRD EYE STRATEGIC GROUP · Feb 2025 – Dec 2025

Not yet confirmed

• • Drive end-to-end B2B client acquisition for US staffing operations — sourcing, qualifying, pitching, and closing new accounts remotely.
• • Manage a pipeline of 30+ active prospects using HubSpot CRM. maintain 85%+ follow-up compliance through
• automated outreach sequences (Make.com).
• • Research target industries and decision-maker profiles to build account lists that convert 3x faster than cold outreach.
• • Collaborate with delivery teams to ensure client onboarding is smooth and retention is high.
• • Leverage AI tools (ChatGPT, Apollo.io) to personalise outreach at scale, cutting prospecting time by reasonable percentage.

Virtual customer support

Amazon Web Services (AWS) · Jul 2024 – Feb 2025

Not yet confirmed

• • Managed 150-200+ daily customer interactions across chat, phone, and email channels for AWS services (domestic and international).
• • Consistently maintained CSAT above team average while handling complex billing, technical, and account queries.
• • Developed expertise in SLA-driven support environments — rapid triage, escalation paths, and resolution documentation.
• • Applied clear written communication skills to resolve ambiguous technical queries from non-technical customers
• • Tools: AWS internal CRM, Zendesk, Salesforce ticketing'.