Summary
Product architect with hands-on operational experience across the full mediabuying pipeline. Progressed from project management through mediabuying leadership to technical lead — architecting a system for end-to-end creative production management. Focus: removing friction from processes, making data flow naturally, and enabling teams to focus on what they're good at.
Experience
Concepta LLC (Mar 2025 -- present)
Performance marketing company. Parent brand aggregator with several hundred million in annual revenue across multiple brands.
Technical Lead (~4 months, current)
- Architected and led development of an internal creative production platform (see product description)
- Led a team of developers: requirements definition, architecture decisions, code reviews, feedback loops
- Managed implementation: user acceptance, change management, addressing team concerns about new workflows
- Built programmatic analytics for ad performance and team productivity
- Priority: 100% platform adoption — system designed so data flows naturally without extra manual actions from users
Head of Mediabuying (~4 months)
- Led mediabuying operations and campaign performance
- Deep involvement in financial planning and budget allocation
- Identified key performance-driving angles through systematic analysis of ad data and creative patterns
- Interviewed and onboarded new team members, expanding the mediabuying team
- Continued managing operations (contractor payments, KPI tracking) — PM role was never backfilled
Project Manager (~4 months)
- Financial operations: contractor payments, salary verification, KPI calculations for the team
- Identified systematic friction in workflows (manual handoffs, fragmented tools, scattered data)
- Optimized own processes to free up time for higher-impact work
- Participated in hiring: interviewing candidates for operations and mediabuying roles
Projects
Transcription + RAG Knowledge System (architect, ongoing)
- Designed and architected a call transcription pipeline: 862+ calls processed over 9 months
- Pipeline: audio → speech-to-text (speaker diarization) → AI summarization → structured storage + Telegram delivery
- RAG service for semantic search over call history: FastAPI + Pinecone (vector DB) + PostgreSQL (metadata), 3-stage search pipeline (metadata filtration → semantic search → post-processing)
- Conversational agent with iterative query refinement for instant retrieval of decisions, context, and commitments from months of calls
- Platform-agnostic recording ingestion: workflow designed to pull audio from any device or source into a unified processing pipeline
- Built to make institutional knowledge instantly searchable; continuing development as a standalone tool
Automated TikTok Content Pipeline (architect, completed)
- Designed a fully automated posting pipeline for TikTok: content sourcing → editing → scheduling → publishing
- Device-agnostic architecture: workflow pulls recordings from any source and processes them through a unified pipeline
- Built for high scalability — designed to run across multiple accounts with minimal manual intervention
- Analyzed posting performance and iterated on content strategy based on engagement data
Key Skills
Leadership & Operations
- Process design: identifying bottlenecks, designing systems that eliminate unnecessary manual work
- Change management: feedback loops, user acceptance testing, managing adoption resistance
- Financial operations: payments, salary tracking, KPI calculation, budget planning
- Cross-functional communication: bridging creative teams, mediabuyers, and developers
Technical
- System architecture: database-heavy design for maximum data capture and analytics
- AI-assisted development: focus on planning, prioritization, and architecture
- Familiar with: TypeScript, Python, SQL, Next.js, React, Supabase, PostgreSQL, FastAPI, Pinecone, LangGraph
- Integrations: Telegram Bot API, Google APIs, AI services (speech-to-text, image/video generation, LLMs)
- Infrastructure: Railway, Vercel, GitHub Actions, Docker, n8n
Approach
- Find the bottleneck, fix only that (Theory of Constraints)
- Evaluate every systematic manual task against its total impact to the system
- Manual first, automate second — validate before building