AI Systems Engineer • Agentic AI • Edge/Video AI • ML Infrastructure • Product Ownership
I build production-grade AI systems that connect models, infrastructure, and business workflows.
Machine Learning Engineer working on agentic AI systems, multimodal retrieval, real-time edge inference, and MLOps, and the product manager who took a safety-critical AI product from zero to one.
Open to AI/ML, GenAI, ML Systems, Computer Vision, Edge AI, MLOps, and Applied AI Consulting roles.
Proof of impact
- reduction in manual monitoring
- 45% reduction in manual monitoring
- real-time video analytics on NVIDIA Jetson AGX
- 30 FPS real-time video analytics on NVIDIA Jetson AGX
- inference throughput improvement
- 2x inference throughput improvement
- latency reduction
- 60% latency reduction
- lower data acquisition costs through synthetic data
- 50% lower data acquisition costs through synthetic data
- faster deployment workflows
- 30% faster deployment workflows
Featured work
Selected case studies
Product Management + Zero-to-One Delivery
BeltIQ
Owned BeltIQ as product manager, from an observation on a site walk to a product running in production, which meant turning an open-ended safety problem into a sequenced roadmap, a hardware supply chain, and a story a buyer could actually evaluate.
- Zero to one, from a site observation to a product running in production
- One roadmap shared across ML, software, hardware, and field teams
- Market-entry strategy and pitch narrative defined before the first client demo
Edge AI + Multimodal Retrieval + Agentic Systems
Real-Time Video Intelligence on Edge Devices
Built an on-device system that watches live video in real time and also lets people search and ask questions across everything it has already seen, with both halves running on embedded hardware instead of in the cloud.
- 45% reduction in manual monitoring effort
- 30 FPS sustained real-time analytics on embedded hardware
- Sub-second search across weeks of recorded video
Agentic AI + Enterprise Workflow Automation
Agentic Planning Support for Product and Engineering Teams
Built an agentic workflow that surfaces the dependencies, trade-offs, and resourcing conflicts that normally only show up once a sprint is already underway.
- Dependencies and constraints made visible before commitment rather than after
- Trade-offs surfaced as explicit options instead of implicit assumptions
- Planning context captured once and reused each cycle
ML Systems + Inference Optimization
High-Performance Inference and Deployment for Real-Time AI
Rebuilt the inference and deployment path for real-time AI workloads so latency became predictable, deployments became repeatable, and regressions got caught before they reached a device.
- 2x inference throughput improvement
- 60% latency reduction
- 50% reduction in inter-process latency
Computer Vision + Applied ML
Real-Time Defect Detection for Infrastructure Inspection
Built an inspection system that classifies structural defects from live survey video, so findings arrive while the crew is still on site instead of weeks later in a report.
- 90% classification accuracy
- 4x faster processing
- 30% lower inspection costs
Experience
Where I've shipped AI systems
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Product Manager, BeltIQ · JSquared Technologies
Sept 2025 – Present
Zero-to-one product ownership for an edge AI mining-safety product
Took BeltIQ from concept to a deployed product, owning discovery, the roadmap, market-entry strategy, vendor procurement, and delivery across engineering, hardware, and client stakeholders.
Product StrategyZero-to-OneRoadmappingRequirements GatheringGo-to-MarketVendor ManagementProcurementStakeholder ManagementCross-Functional LeadershipFeature Planning -
Machine Learning Research Engineer · JSquared Technologies
May 2024 – Present
Production AI systems for safety-critical mining and operational workflows
Led development and deployment of real-time AI, agentic AI, Video-RAG, and edge inference systems for mining safety and workflow automation.
Agentic AIVideo-RAGEdge AIComputer VisionTensorRTCUDAGStreamerMLflowAWSDockerMLOps -
Machine Learning Engineer · Sapiient Advanced Technologies
Aug 2022 – Feb 2023
Real-time ML and anomaly detection for infrastructure inspection
Built optimized anomaly detection and video-based analytics systems for infrastructure inspection.
Anomaly DetectionComputer VisionReal-Time MLDashboardsXGBoostLightGBM -
Software Development Engineer · TechNomads
Jan 2022 – Jul 2022
Backend, cloud, and API engineering
Built scalable REST APIs and AWS-based platform features for real-time analytics workflows.
BackendREST APIsAWSCloudProduct Engineering
Skills
Grouped by what you're hiring for
AI / ML / GenAI
For AI/ML and GenAI hiring managers
LLM, RAG & Serving
For GenAI / Agentic AI & inference teams
ML Modeling & Validation
For applied ML and model-quality roles
Infrastructure & MLOps
For MLOps / platform engineering teams
Systems & Edge
For edge AI and performance engineering
Consulting & Delivery
For forward-deployed / applied AI consulting
Product Management
For product-facing and founding-engineer roles
Research & writing
Where I go deep
Human–AI Collaboration & Workflow Redesign
How agentic systems augment human decision-making in planning, prioritization, and resource allocation.
Enterprise AI for Sprint PlanningContinuous & Multimodal Video Retrieval
Retrieval-oriented video understanding for natural-language search over live and long-horizon streams.
Real-Time Video Intelligence on Edge DevicesEdge AI for Safety-Critical Systems
Reliable on-device perception–decision–action loops under strict latency, power, and compute limits.
Real-Time Video Intelligence on Edge DevicesContact
Interested in AI systems, agentic AI, edge AI, or ML infrastructure roles? Let’s connect.
Open to AI/ML, GenAI, ML Systems, Computer Vision, Edge AI, MLOps, and Applied AI Consulting roles.