Driving Operational Excellence through Intelligent Systems Design
I am Alex Silva, a Technical Operations & Systems Specialist who thrives in ambiguous, fast-moving environments. I build end-to-end Python automations, data integrations, and operational workflows that eliminate manual bottlenecks, guarantee data integrity, and drive high-impact commercial outcomes.
Production Systems & Automations
Regulatory Nutrition Facts Automation Engine
An end-to-end operational platform built to standardize ingredient matching against official government databases. Replaces manual spreadsheet searches with vector database matching, strict schema guardrails against AI hallucinations, and a multi-channel Human-in-the-Loop review gate.
End-to-End Operational Process & Decision Architecture
Unstructured Payload Ingestion
Raw client formulas ingested via n8n webhooks. Triggers multi-channel alerts (WhatsApp/Email) to specialist queue.
Dual-Engine DB Lookup
Human-in-the-Loop Review
Specialist receives candidate matches on Web App or WhatsApp. Interactively confirms or overrides pairings before final database commit.
Audit-Ready Report Output
Pulls verified nutrient records from database tables to instantly generate official Canadian regulatory PDF tables.
Core Competencies & Technical Capabilities
Structured competency matrix aligning first-principles technical diagnosis, Python operational automation, energy system dynamics, and cross-functional leadership in ambiguity.
Operational Workflow Automation (Python & APIs)
Building resilient Python automation engines, REST API integrations, webhooks, and Jython scripts that eliminate manual operational bottlenecks and enforce data consistency.
High-Stakes Interval Data & Historian Systems
Architecting high-frequency interval data logging (OPC UA, SQL, time-series) with zero-loss store-and-forward caching, transactional consistency, and audit-grade validation.
First-Principles Root Cause Analysis & Incident Resolution
Systematic failure mode diagnostics, signal noise isolation, and post-incident reviews—building durable architectural fixes rather than temporary band-aids.
Energy Systems, Power Distribution & Asset Dynamics
Deep understanding of electrical power dynamics (24VDC to 480V 3-phase), VFD motor controls, regenerative energy feedback/back-EMF absorption, and electrical safety standards (NFPA 79, UL 508A).
Zero-to-One Scaffolding & Ambiguity Navigation
Thriving in fluid, playbook-free startup environments; defining priorities independently, formulating new operating procedures, and scaling cross-team workflows from scratch.
Relational Data Modeling & PostgreSQL
Designing normalized SQL databases, complex parameter-driven queries, performance indexing, and schema architectures for mission-critical persistence.
Cross-Functional Advisory (Product, Engineering, Sales)
Serving as subject-matter expert advising Product and Engineering on complex technical parameters, structuring commercial agreements, and delivering high-stakes executive analysis.
Player-Coach Mentorship & Team Development
Mentoring, onboarding, and coaching technical analysts and customer success specialists with empathetic, constructive feedback and standardized training curricula.
Business Intelligence & Revenue Modeling
Designing operational dashboards in Streamlit, Power BI, and Looker Studio to track revenue performance, compliance deadlines, and asset availability metrics.
Event-Driven Orchestration & Middleware (n8n)
Deploying self-hosted n8n pipelines with webhook listeners, error-handling retry policies, automated notification bots, and bi-directional CRM synchronizations.
Resilient Edge DevOps & Container Infrastructure
Deploying containerized microservices on Docker and Portainer, secured via Tailscale zero-trust mesh tunnels and Nginx reverse proxies with strict access control.
AI Agentic Workflows & Unstructured Data Extraction
Leveraging Google Gemini API and structured system prompts to transform ambiguous, unstructured operator logs and field data into schema-validated database records.
High-Impact Initiatives & Systems Built
Concrete examples of navigating ambiguity, building durable Python automations, protecting revenue, and scaling operating procedures from scratch.
End-to-End Operational Workflow Automation Engine
Automated Python and webhook pipeline eliminating manual data entry and SLA breaches
- Replaced manual spreadsheet tracking with automated Python data pipelines and PostgreSQL persistence
- Cut operational transaction cycle times by 60%, eliminating manual re-keying and transcription errors
High-Precision Asset & Energy Telemetry Architecture
Audit-grade interval data ingestion with zero-loss store-and-forward reliability
- Engineered store-and-forward buffering preventing data gaps during intermittent network outages
- Structured standardized data models (UDTs) accommodating diverse asset classes and protocols
Startup Market Operations: Scaffolding & Revenue Scale
Building the commercial and technical operating playbook from zero at RoboDK
- Generated own priorities without waiting for a playbook, establishing standard operational procedures (SOPs)
- Architected custom Python simulation POCs that reduced enterprise client evaluation cycles by 40%
Incident Root Cause Triage & AI Extraction Pipeline
Automating incident diagnosis and converting unstructured field telemetry into structured fixes
- Engineered agentic prompts and schema validation to extract clean relational data from ambiguous text notes
- Automated root-cause correlation against historical incident databases to accelerate mean-time-to-resolution
Power Distribution & Regenerative Dynamics Governance
Ensuring electrical safety, compliance, and energy absorption on critical assets
- Conducted pre-commissioning UL 508A and NFPA 79 safety inspections with zero compliance violations
- Engineered regenerative energy management schemes to safely absorb and dissipate decelerating kinetic energy
Operating Without a Playbook: Career Progression
A proven history of operating in scaffolding-free startup environments: generating priorities independently, building automated operating procedures from first principles, and driving measurable revenue outcomes.
From Technical Support to Commercial Leadership & Solutions Architect
Joined RoboDK as a Support Engineer in an early-stage startup where roles were fluid and SOPs did not exist. Rather than waiting for a playbook, took organic ownership of pre-sales discovery, Python/API proof-of-concept modeling, partner co-selling enablement (40+ partners), and customer onboarding SOPs. This autonomous initiative drove 10–25% YoY revenue growth and resulted in rapid promotions to Lead Solutions Engineer, Technical Account Manager, and Technical Commercial Manager.
Player-Coach Mentorship & Kind, Direct Feedback
Extensive experience managing and coaching technical specialists, sales engineers, and account managers. Known for delivering feedback kindly and constructively, designing structured onboarding learning pathways (up to 40 hours) that cut ramp-up time by ~60%, and cultivating a high-accountability, low-ego culture.
Technical Commercial Manager & Lead Solutions Specialist
Entered an early-stage startup with minimal process scaffolding. Took complete ownership of critical workflows: architected custom Python POCs, built customer onboarding SOPs, scaled channel enablement across 40+ partners, and coached sales reps, engineers, and CSMs.
Independent Operations & Data Systems Consultant
Partnered with technical and operational leadership to automate workflows, build relational databases, and replace fragile manual spreadsheets with scalable Python services.
Controls & Electrical Systems Engineer
Owned machine electrical safety, PLC control logic migrations, and power distribution compliance under rigorous industry standards.
Automation & Electrical Project Engineer
Delivered high-stakes electrical and controls upgrades, managing motor deceleration dynamics and cross-functional plant coordination.
Initiate Operational Dialogue
Discussing Market Operations, Python automation architectures, interval data systems, or scaling new programs in ambiguous environments.