AI Implementation Engineer
I build Go-to-Market systems, AI-powered outreach, and automation pipelines that ship to production. From concept to deployed system.
I specialize in turning AI concepts into working production systems. My focus is on practical implementation — building RAG pipelines that handle complex documents, classification systems that process millions of records, and automation that replaces manual workflows.
Most projects in my portfolio run in production with real users and real data, while others are demos or proof-of-concepts ready to scale. I work across the full stack: from designing database schemas and vector search architectures to building React interfaces and deploying with Docker.
8M+ messages, 98.9% accuracy, 200/sec
High-throughput SMS spam classification system using GPT-4o to detect phishing, scams, and compliance violations. Processes massive message volumes with cluster-based analysis and real-time risk scoring. Powers fraud detection for telecom providers.
Prompt to finished video in 10 minutes
End-to-end video generation pipeline that transforms text prompts into complete videos. Orchestrates scene generation, AI voiceover, and video composition. Automated storyboarding with intelligent scene segmentation and multi-modal asset creation.
Clay.com alternative — 10x cheaper B2B enrichment
Custom B2B lead enrichment platform with ICP scoring and priority tiering. Integrates with Clay.com for company data, generates AI-powered email drafts, and provides Excel-style filtering with export capabilities. Powers outbound sales automation.
Intelligent ticket processing with intent classification, type detection, and AI-proposed actions. Enriches tickets with internal system data for faster resolution.
Enterprise automation processing tender emails from 9 procurement platforms. 4-stage LLM pipeline for classification and extraction with local Qwen2.5-14B on RTX 4090.
Custom Claude-based assistant with memory bank architecture, skill system, and multi-server project management. Modular knowledge base with topic detection and session persistence.
AI-powered content system that turns Telegram channels into searchable knowledge bases. Tech News aggregation, Channel Analytics with draft generation, LLM-powered topic clustering.
Enterprise Q&A over technical documentation with semantic search, vector embeddings, and GPT-4 answer generation. Powers internal knowledge discovery.
Event-driven architecture for multi-step LLM workflows. Message-based multimodal processing with NATS JetStream and Celery orchestration.
RAG system specialized for complex PDF documents with tables. Vision models for layout understanding, table healing for broken cells, hybrid search with semantic + keyword retrieval.
Viral content analysis platform. Batch processes YouTube Shorts, extracts frames, transcribes audio with Whisper, classifies with Claude Vision. Builds trend database.
Unified language learning platform with handwriting OCR, Cambridge assessment, AI audio lessons with multi-voice TTS, interactive exercises. 13 languages supported.
Computer vision price tag detection using YOLOv8. Extracts prices with EasyOCR and matches products using vector embeddings.
Have an AI project that needs to ship to production? I'm available for contract work and consulting.