AI-powered procurement research copilot:

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Built a domain-specific AI agent system fine-tuned on battery chemistries, vendor catalogs, and robotics specs—enabling procurement teams to explore, compare, and source equipment with precision.

Autonomous vendor workflow automation:

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Replaced manual procurement steps (email, fax, RFPs) with a multi-agent system that autonomously handles vendor inquiries, negotiations, and evaluations—learning from prior transactions to improve over time.

Scalable, intelligent data ingestion engine:

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Engineered a smart crawling and indexing pipeline to fetch and deduplicate tens of terabytes of equipment data, ensuring a continuously updated knowledge base with minimal manual upkeep.

Dynamic taxonomy generation via topic modeling:

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Developed an AI system that classifies equipment and SKUs using semantic embeddings and unsupervised topic modeling—creating a unified schema across diverse product types without hand-labeled categories.

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AI-powered deal intelligence engine:

Built a multi-agent system capable of summarizing massive document corpora (~10s of GB per deal) into a 128k-token context using a novel 3-step pipeline with SeTok (semantic vision tokenization), RAG-based chunking, and high-ratio compression.

Scalable and secure infrastructure:

‍Designed to handle thousands of concurrent deals across heterogeneous file formats (PDFs, images, Excel), with SOC-2 compliance, least-access enforcement, idempotent data pipelines and robust error recovery.

Cost-efficient LLM orchestration:

‍Implemented a dynamic token-usage optimization layer that selects the most efficient LLM-provider/prompt configuration per task, balancing cost and answer quality.

Continuous eval and prompt tuning:

Deployed a Braintrust-based eval pipeline and trained prompt engineers to fine-tune domain-specific system prompts - automatically measuring precision/recall KPIs across evolving agent and model configurations.

Span’s Plank AI team delivered:
‍•⁠ an LLM powered workflow optimization for chemical and food industry manufacturing ops
•⁠ ⁠an LLM powered monitoring and alerting for sensors deployed across the factory floor

AI-powered cold-chain monitoring & alerts:

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Deployed a real-time IoT data pipeline that ingests terabytes of temperature, location, and handling events, then uses event-driven AI agents to flag anomalies and push instant alerts—helping prevent the $30 B annual loss of temperature-sensitive goods.

Adaptive temperature-control module:

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Designed an on-device AI algorithm that continuously tunes set-points in response to ambient conditions, removing the need for human intervention and ensuring medicines and vaccines stay within safe ranges in the field.

AI-generated compliance auditing:

Built a policy-based alert engine and automated, AI-driven audit report generator that produces secure, end-to-end traceability logs—dramatically cutting manual data-gathering time for regulatory reviews.

Secure, scalable IoT + mobile platform:

Implemented encrypted network tunnels, Bluetooth/Wi-Fi auto-reconnect mobile apps, and fault-tolerant cloud infrastructure to process tens of terabytes per day, with Plank providing ongoing maintenance and uptime assurance.

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