AI Solutions, Automation
& Cloud Engineer

Organizations struggle with expired contracts, missing signatures, incorrect clauses, compliance violations, missed obligations, and time-consuming manual legal reviews.

Developed a multi-agent AI platform that uploads and extracts contract PDFs, retrieves company policies using RAG, performs compliance analysis, calculates legal risk scores, extracts obligations and deadlines, generates executive summaries, and automatically escalates high-risk contracts to the legal team.

Organizations lose money through duplicate purchases, inconsistent vendor selection, slow approval processes, expired contracts, and poor supplier performance.

Built an AI procurement platform that validates purchase requests, evaluates vendors, checks for duplicate purchases, applies approval rules, generates purchase orders, and routes high-value requests for human approval.

Employees spend too much time searching through internal documents, policies, and knowledge bases.

Built a Retrieval-Augmented Generation assistant that processes company documents, creates embeddings, performs semantic search using PostgreSQL and pgvector, and answers employee questions using grounded internal knowledge.

Teams lose important decisions, action items, and follow-up responsibilities after meetings.

Built an AI workflow that processes meeting notes or transcripts, generates concise summaries, extracts action items, identifies owners and deadlines, and prepares automated follow-up communications.

Support teams manually review incoming tickets, leading to slow routing, inconsistent prioritization, and delayed responses.

Built an AI ticket classification workflow that analyzes customer requests, identifies issue categories, detects urgency, assigns priority, and routes tickets to the correct department.

Organizations receive large volumes of emails that must be manually reviewed and forwarded to the correct teams.

Built an AI email triage workflow that reads incoming emails, classifies intent, extracts important details, detects urgency, and routes each email to the correct department.

Real estate companies spend significant time manually reviewing property inquiries, qualifying buyers, assigning agents, and following up with potential customers, resulting in delayed responses and missed sales opportunities.

Built an intelligent AI workflow that automatically analyzes property inquiries, qualifies buyers based on budget, urgency, financing readiness, preferred location, and property requirements, then generates a lead score, recommends actions, stores the lead in the database, sends personalized customer responses, requests manager approval, assigns a sales agent, updates the CRM, and schedules the next sales activities.

Enterprise real-estate teams manage large volumes of lease documents across multiple properties and portfolios. Manual processing increases the risk of missed deadlines, inaccurate portfolio data, and premature financial updates.

Built an AI-powered lease administration workflow that receives documents via authenticated API/webhook, classifies lease document types, extracts structured lease data, compares changes against existing records, routes uncertain cases to human reviewers, and stores approved changes without prematurely applying future-dated updates.

Enterprise Accounts Payable teams frequently receive invoices that require manual comparison against purchase orders, vendor records, quantities, payment details, bank information, and other operational data. Invoices containing mismatches, duplicate references, incomplete fields, suspicious details, or policy exceptions often require staff to manually investigate the case before deciding how it should proceed.

APGuard coordinates invoice processing through a structured enterprise workflow. Incoming invoice information is normalized and validated before progressing through invoice, purchase-order, vendor, duplicate, mismatch, and suspicious-data checks. Invoices containing exceptions are classified and routed into a structured human-review or approval process instead of being silently rejected or automatically approved. Processing results are persisted in the database and important workflow actions are recorded for auditability.