
Muhammad Talha Arslan
RPA Engineer · Business Process Automation Specialist · AI Automation Developer · Intelligent Automation Consultant
Hire their services
Request a quote with no obligation
About
Results-driven Automation Engineer with 4.5+ years designing, developing, and deploying end-to-end RPA and intelligent automation solutions across banking and telecommunications sectors. Spearheaded 30+ automation tools at Huawei Technologies, boosting operational efficiency by 30% and reclaiming 100+ hours weekly. Currently engineering mission-critical automation at Mercurial Minds — including AI-enhanced email intelligence, fraud detection, AML compliance, biometric verification, and real-time dispute handling for Pakistan's leading financial institutions.
UiPath-certified across three professional tracks (Automation Developer, Agentic Automation, Specialized AI). Expert in UiPath, Python, Robot Framework, and GenAI integration.
Experience
- Automation Engineer at Mercurial Minds (2024-11 – Present)
- Architect and deploy high-priority RPA solutions across banking and telecom, partnering with IT, Operations, and Business units for zero-defect go-lives. Integrate AI and ML modules into UiPath workflows to enable intelligent decision-making and adaptive automation at scale.
- FTDH – Fraudulent Transaction Dispute Handling: Engineered an end-to-end dispute resolution bot for 1Link, validating IBFT, RAAST, and P2P transactions against internal banking systems. Automation consistently meets the bank's critical 30-minute TAT SLA — eliminating reputational and financial risk from missed deadlines.
- FRMS – Fraud Risk Management System: Automated the Fraud Risk Management (RMG) monitoring and reporting pipeline, replacing manual case reviews with a fully robot-driven workflow and real-time reporting visibility.
- Customer Care Email Monitoring: Built an Intelligent Automation solution leveraging AI to analyze, classify, and extract data from incoming emails, auto-generate real-time reports, and route actions — dramatically reducing manual effort and enhancing stakeholder responsiveness.
- Anti-Money Laundering (AML): Automated AML monitoring and regulatory reporting, reducing manual review effort and strengthening compliance posture.
- BVS – Biometric Verification System: Automated biometric validation across multiple systems, accelerating onboarding throughput and eliminating manual verification errors.
- Complaint Management Process: End-to-end automation for complaint tracking and resolution routing, cutting response cycle time and improving SLA adherence.
- Tasdeeq Loan Process: Streamlined loan processing through RPA, significantly reducing turnaround time and manual intervention in credit workflows.
- Quality Closure Process (CR): Automated quality closure workflows, eliminating reporting bottlenecks and improving CR resolution tracking accuracy.
- Architect and deploy high-priority RPA solutions across banking and telecom, partnering with IT, Operations, and Business units for zero-defect go-lives. Integrate AI and ML modules into UiPath workflows to enable intelligent decision-making and adaptive automation at scale.
- Automation Developer at WORK (2024-08 – 2024-10)
- Automated lead-tracking workflows within the Knack portal, integrating external data sources to eliminate manual touchpoints and improve data accuracy.
- Built Python scripts for automated data entry, validation, and reporting; extracted and structured customer data from complex PDF documents.
- Automation Developer (HRO) at Huawei Technologies Co. Ltd. (2022-08 – 2024-08)
- Spearheaded 30+ automation tools, driving a 30% boost in operational efficiency across monitoring, billing, and workflow management. Automated Excel-based billing and analytics, eliminating manual errors and reclaiming significant analyst time at scale. Enhanced broadband analysis and real-time delivery monitoring, saving 100+ hours weekly across operations. Designed and deployed a Request Management System for tracking frontline requests and employee progress, improving accountability and visibility.
- R&D Intern at Pakistan Detectors Technologies Pvt. Ltd. (2022-05 – 2022-07)
- Conducted hardware R&D on metal and gold detectors, focusing on enhancing detection sensitivity and expanding the range of identifiable metals beneath the earth's surface.
- Iteratively improved hardware design to boost real-world detection accuracy across diverse soil and material conditions.
- Documented research findings and contributed technical insights to the product development roadmap.
- Electrical & Automation Engineer at Freelance (2020-09 – 2022-05)
- Delivered end-to-end embedded systems projects, integrating custom hardware design with software logic for optimized system performance and reliability.
- Applied data analysis techniques to complex datasets, uncovering actionable insights that drove measurable improvements in system functionality and efficiency.
- Managed full project lifecycle — requirements, design, development, testing, and client delivery — across multiple simultaneous engagements.
- Teacher Assistant – VLSI Design at National University of Computer and Emerging Sciences (2019-08 – 2019-12)
- Conducted VLSI (Very Large Scale Integration) tutorials for undergraduate Electrical Engineering students, simplifying complex concepts through structured exercises and real-world examples.
- Managed and tracked coursework, test grades, and student progress via an online reporting system, ensuring timely and accurate academic records.
- Provided one-on-one guidance to students, strengthening their understanding of circuit design fundamentals and VLSI methodologies.
Education
Bachelor of Science in Electrical Engineering – National University of Computer and Emerging Sciences (FAST-NUCES) (2015 – 2019)



