Naveen Vinod

Technical Project Manager with 6+ years delivering AI products and SaaS platform engineering at a data/AI company. Own end-to-end project execution for 10+ concurrent initiatives, managing 20+ engineers across two product lines generating $100K+ combined MRR. Consistently deliver 95%+ on-time with 99%+ platform uptime.

Hands-on with LLMs, RAG, vector DBs, MCP, and agentic workflows - technical fluency that lets me run credible sprint planning, unblock engineers, and translate between executives and dev teams.

Operations Manager, ScrapeHero Cloud + Project Manager, ScrapeHero Data Team at TurboLab Technologies (2022-08 – Present)

Concurrent dual role owning project execution and platform operations for two revenue streams: ScrapeHero Cloud (SaaS platform, ~$40K MRR) and ScrapeHero Data Team (enterprise custom projects, ~$60K MRR). Promoted into expanded Operations Manager scope Jul 2024 while retaining PM ownership of data team.

• Lead cross-functional team of 20+ engineers and analysts across 10+ concurrent projects serving enterprise clients including a Big 4 accounting and consulting firm; sustain ~$100K combined MRR with 95%+ on-time delivery.
• Manage end-to-end execution of 50+ parallel data scraper and RPA projects per quarter using Agile/Scrum: sprint planning, daily stand-ups, retrospectives, backlog grooming, risk assessments, budget control, and client-facing demos.
• Maintain 99%+ platform uptime for ScrapeHero Cloud through proactive incident management, SLA tracking, and cross-functional coordination between engineering, infra, and support.
• Define and track project OKRs, manage multi-stream budgets, and maintain stakeholder alignment through structured weekly reporting and executive dashboards.
• Delivered company's first production RAG chatbot (embedding models, vector DB, LLM orchestration); managed project end-to-end from scoping to deployment - reduced repetitive support tickets ~30% and improved self-service resolution.
• Scoped, prototyped, and demoed MCP (Model Context Protocol) integration enabling AI agents to invoke platform APIs; built working POC, presented to leadership, secured approval and resourcing for full production build — first-of-its-kind initiative at company.
• Led Gemini AI-based data accuracy project across data pipelines, automating quality checks and cutting manual QA effort by ~25% for enterprise accounts.
• Delivered 4+ AI agentic workflow projects in n8n (AI code review assistant, customer email summarization, user company profiling, DNS-resolving spam detection), saving ~15 hours/week of manual operations across the organization.
• Partner with Product Owner on complete platform revamp: analyze Metabase and PostHog usage data to identify 15+ improvement areas, write PRDs, define user stories, and prioritize engineering backlog.
• Drove 10–15% QoQ revenue growth through data-driven retention, churn analysis, and upsell identification; reduced average response time ~40% via AI tool integration across ops workflows.

Project Coordinator, ScrapeHero Data Team at TurboLab Technologies (2022-06 – 2022-08)

• Coordinated schedules, resource allocation, and milestones for concurrent data programs; maintained change control and stakeholder reporting before promotion to PM.

Project Engineer at Concept Realization and IT Solutions Pvt Ltd (2020-05 – 2022-06)

• Provided technical guidance to engineering and production teams across software project lifecycle; oversaw execution, incident tracking, and QA across concurrent releases.
• Reduced average incident resolution time by 20% through systematic process optimization and cross-functional coordination.

B.Tech in Electrical & Electronics Engineering – APJ Abdul Kalam Technological University (2015 – 2019)