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Independent AI Systems Lead and ML/AI Engineer specializing in agentic AI, LLM-powered document understanding, and intelligent automation for procurement and compliance. I build production-grade pipelines—from unstructured documents to structured outputs—while ensuring auditability and explainability. I’ve led MVP delivery for tender-driven CapEx workflows, advanced transaction monitoring and sanctions intelligence, and shipped LLM assistants with privacy-preserving private inference stacks. I enjoy turning complex requirements into modular, API-ready systems that downstream teams can integrate into ERPs and operational platforms.…Independent AI Systems Lead and ML/AI Engineer specializing in agentic AI, LLM-powered document understanding, and intelligent automation for procurement and compliance. I build production-grade pipelines—from unstructured documents to structured outputs—while ensuring auditability and explainability. I’ve led MVP delivery for tender-driven CapEx workflows, advanced transaction monitoring and sanctions intelligence, and shipped LLM assistants with privacy-preserving private inference stacks. I enjoy turning complex requirements into modular, API-ready systems that downstream teams can integrate into ERPs and operational platforms.

Arbaz Shaikh

AI Engineer, Data Scientist, Software Engineer, +2

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Independent AI Systems Lead and ML/AI Engineer specializing in agentic AI, LLM-powered document understanding, and intelligent automation for procurement and compliance. I build production-grade pipelines—from unstructured documents to structured outputs—while ensuring auditability and explainability. I’ve led MVP delivery for tender-driven CapEx workflows, advanced transaction monitoring and sanctions intelligence, and shipped LLM assistants with privacy-preserving private inference stacks. I enjoy turning complex requirements into modular, API-ready systems that downstream teams can integrate into ERPs and operational platforms.…Independent AI Systems Lead and ML/AI Engineer specializing in agentic AI, LLM-powered document understanding, and intelligent automation for procurement and compliance. I build production-grade pipelines—from unstructured documents to structured outputs—while ensuring auditability and explainability. I’ve led MVP delivery for tender-driven CapEx workflows, advanced transaction monitoring and sanctions intelligence, and shipped LLM assistants with privacy-preserving private inference stacks. I enjoy turning complex requirements into modular, API-ready systems that downstream teams can integrate into ERPs and operational platforms.

Available to hire

Independent AI Systems Lead and ML/AI Engineer specializing in agentic AI, LLM-powered document understanding, and intelligent automation for procurement and compliance. I build production-grade pipelines—from unstructured documents to structured outputs—while ensuring auditability and explainability.

I’ve led MVP delivery for tender-driven CapEx workflows, advanced transaction monitoring and sanctions intelligence, and shipped LLM assistants with privacy-preserving private inference stacks. I enjoy turning complex requirements into modular, API-ready systems that downstream teams can integrate into ERPs and operational platforms.

Skills

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Expert

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Work Experience

AI Systems Lead | AI-led Procurement & Estimation Platform

January 1, 2026 - Present

Delivered an MVP for tender-driven industrial/CapEx projects, improving execution speed by 2–10x across procurement stages (from document ingestion to structured output generation) and serving 20+ paid clients. Designed an end-to-end agentic backend with a modular rule engine to map unstructured document instructions to structured actions including BoQ/SOR, RFQ, vendor evaluation, technical evaluation, and tender review. Built document-understanding pipelines using PaddleOCR + LLM for parsing PDFs up to 1 GB and Excel files (1000+ rows) with conflict/missing-input detection across tender documents and BoQs. Exposed modular backend APIs for integration-ready consumption (e.g., ERP systems). Built a product hierarchy (7k+ products) and an ingestion layer to categorize products and standardize specifications.

ML Engineer | AI in Financial Compliance Domain at Facc tum / Factum (Factctum) - FactGuard & FactList

October 1, 2023 - Present

First AI/ML hire at a seed startup; mentored 6 AI interns and 4 junior engineers; interviewed 10+ candidates. FactGuard (Transaction Monitoring): built an LSTM-based risk pipeline over 380M UK transactions, improving Recall@K by 3x versus baseline models; implemented a model explainability layer using SHAP plus LLM-based summaries to ensure SR 11-7 compliance. FactList (Sanctions Intelligence): built an LLM-driven feature that monitors EU press releases and extracts structured sanctions data with 96% accuracy; reduced data delays from days to minutes and transitioned from POCs to production with global clients. Built additional compliance systems including an inbox assistant for clustering email threads, extracting structured case data, and drafting responses; deployed a self-hosted private LLM inference stack using Qwen-2.5-14B with vLLM for data security. Also delivered KYC document extraction (OCR+LLM), address verification, merchant risk monitoring, adverse media knowledge graph pi

ML Engineer | Applications of LLMs in Medical Domain at Symita Inc

May 1, 2023 - August 1, 2023

Built a RAG-based medical AI chatbot and explored LLM usage for clinical coding in a pre-seed startup environment.

Graduate Researcher at KU Leuven

October 1, 2021 - December 1, 2022

Conducted research on quantifying meso-scale structure of financial networks to capture higher-order interactions, with the goal of identifying groups of systemically important financial institutions.

Master's Thesis (Industry Collaboration) - Non-stationary time-series regime detection & forecasting at IIT Bombay (SigmaStream LLC collaboration)

January 1, 2020 - June 1, 2021

Built a system to identify regimes in non-stationary time-series and run pattern-specific forecasting models. Achieved test accuracy of 97%+ for rig state detection in oil-well drilling. Developed QRS-complex detection demonstration with 92%+ precision and 100% recall; work published as a patent; demonstrated the system on QRS detection use cases.

Data Scientist | Financial Security Normalization at Envestnet Yodlee

May 1, 2019 - July 1, 2019

Built a statistical model to identify financial securities among 8M+ securities. Led to 33% performance improvement.