AI-powered video analytics at scale

Built a computer vision system using CNNs and YOLO to identify truck types, capture license plates, and log entry/exit times from high-volume multi-camera streams—processing tens of terabytes daily across 10+ live construction sites.

Automated worker tracking and access control

Delivered an AI module for worker identification that enabled contractor-specific invoicing and enforced geofenced access to site zones based on role or clearance.

Real-time PPE compliance enforcement

Developed a mask and helmet detection system with smart alerting to ensure COVID-era and chemical site safety compliance, reducing manual oversight burden.

End-to-end deployment and operations‍

Designed for dynamic scalability (1000s of processing servers), hybrid cloud/on-premise processing, and maintained full lifecycle support for AI model training, deployment, and operations.

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 secure access platform

Built a rule-based network security system with a natural language policy engine that learns from employee behavior and enforces real-time access control via a mobile-integrated platform, supporting sub-20ms latency at global scale.

Enterprise-grade backend architecture

‍Designed a distributed, service-oriented backend with multi-cloud and on-prem support, automated failovers, and >99.99% uptime to meet the needs of large-scale enterprise deployments.

AI-driven test scenario simulation

Developed an AI agent that generates and executes thousands of edge-case network test scenarios to ensure OpenVPN’s reliability under diverse and unpredictable conditions.

AI-enabled code generator and code reuse system

Delivered a monorepo architecture with shared utilities and AI-based code generators that convert DSL configs into platform-specific builds for iOS, Android, Windows, Linux, and MacOS—maximizing reuse and minimizing duplication.

Multi-agent AI insights engine for financial data

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Built ~10 interoperating graph-based AI agents that automatically ingest, categorize, and analyze transactions from all connected financial institutions, surfacing tailored insights such as spending trends, budgeting nudges, and savings opportunities.

AI-embeddings user memory for personalization

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Developed a persistent vector-based memory system that captures financial behavior and user interactions, enabling agents to infer preferences, habits, and life context—powering deeply personalized financial advice.

AI-curated financial news feed

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Delivered an embeddings-powered indexing and ranking engine that classifies trending news and matches it to individual users' financial interests and holdings—creating a personalized Bloomberg-like dashboard.

Scalable, secure, real-time infrastructure

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Designed a high-throughput system with dynamic autoscaling, secure hybrid deployment (cloud + on-prem), and real-time inference—paired with ongoing operational support and regulatory-grade data protection.

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