11
3
Pakistan
2+ years of experience
Ali Jafar is a Computer Science student at FAST NU Lahore. Skilled in C++, Python, and web development, he enjoys solving complex problems in data structures, machine learning, and cybersecurity. With a strong logical mindset and strategic thinking, he has developed games, console-based systems, machine learning models, and web applications. Ali is also exploring ethical hacking and AI-driven voice solutions to tackle challenging problems. Beyond coding, he is a part time chess player and has won the college chess championship. Academically, he secured third position in the entire province at the secondary school level and first position in the district at the college level. He has currently obtained Dean List of Honor award from FAST NU on exceptional academic performance. Ali is a proud certified nerd who thrives on challenges. He is also an active member of the SOFTEC society at FAST NU Lahore.

**Autonomy when you want it, Control when you need it, Billing infrastructure for AI agents** AgentInvoice is a dual-mode agentic invoicing and escrow system designed for the next generation of autonomous commerce on Arc. It enables AI agents and humans to create, approve, escrow, and settle USDC invoices securely using trustless smart contracts and Circle infrastructure. The core innovation of AgentInvoice is its dual-mode payment architecture. In Autonomous Mode, AI agents can independently negotiate terms, generate invoices, lock USDC into escrow, and release payments once predefined conditions are met β without human intervention. This is ideal for agent-to-agent commerce, API monetization, and automated service marketplaces. In Manual Mode, enterprises and users can require human approval before escrow funding or release, providing compliance, safety, and governance while still leveraging the same on-chain infrastructure. AgentInvoice uses USDC as the settlement asset and executes all transactions on Arc, ensuring deterministic finality, transparent verification, and predictable fees. Smart contract escrow guarantees trustless execution, automatic refunds, and deadline-based releases. To support adoption, AgentInvoice includes a developer-first toolkit: SDK for integrating agentic billing into applications REST APIs for invoice creation, escrow management, and settlement CLI tools for developers and operators Monitoring dashboards for invoice and escrow lifecycle tracking This allows builders to easily add agentic payments to AI systems while giving enterprises the controls they need to safely adopt autonomous workflows. AgentInvoice bridges the gap between fully autonomous AI commerce and real-world business requirements, making agentic payments practical, secure, and production-ready.
24 Jan 2026

The SME Loan Risk Meta-Validator is an end-to-end intelligent workflow designed to streamline and modernize SME credit assessment. It automatically ingests loan applications from spreadsheets, portals, and supporting documents, then extracts and normalizes key information using OCR and AI-driven field extraction. The system enriches each application with external credit bureau and sanctions screening data, evaluates data quality and consistency, and applies transparent rule-based checks to enforce lending policies. For eligible cases, an AI risk model produces nuanced risk and eligibility scores, which are combined with rules to determine whether to auto-approve, auto-reject, or escalate for human review. An agentic policy reviewer ensures alignment with credit policies, fairness guidelines, and regulatory expectations. Every application generates a complete audit artifactβincluding inputs, risk reasoning, rules fired, and review actionsβproviding full traceability for risk teams and regulators. This workflow improves decision accuracy, reduces manual workload, ensures compliance, and delivers a scalable, consistent framework for SME lending.
19 Nov 2025

LifeOps β Personal Decision Assistant is a modern AI-powered web application designed to help users tackle everyday decision fatigue. Whether itβs choosing what to cook, deciding on a purchase, or prioritizing tasks, LifeOps provides structured, intelligent guidance. Using GPT-5βs advanced reasoning capabilities, the system engages users in a conversational flow by first asking clarifying questions to better understand their context, constraints, and preferences. It then generates multiple options, analyzes each with pros and cons, and delivers a final personalized recommendation supported by clear reasoning. LifeOps transforms everyday choices into confident decisions, blending practicality, transparency, and user-centric AI assistance.
24 Aug 2025