Jan 2024 – Present · 2 yrs 3 mos · San Francisco Bay Area · Hybrid

• Developed an AI-powered EdTech platform assessing employability and future readiness, advancing data mesh for scalable skills-based AI assessments.
• Spearheaded AI governance to safely integrate large language models (LLMs) within scoring algorithms.
• Implemented enterprise-grade data catalog and classification systems, improving data accessibility for internal teams and external clients.
• Led product roadmap, fundraising efforts, and established strategic partnerships with NGOs and accelerators, expanding AI adoption in education.
• Delivered creative AI workshops guiding NGO partners on generative AI tools for content and branding.

Jan 2022 – Dec 2023 · 1 yr 11 mos · Buffalo, New York, United States · Remote

• Created influencer-level LLM models improving data lineage and standardization across marketing channels.
• Established cross-functional data frameworks aligning product, creative, and compliance teams for regulatory analytics.
• Delivered customer segmentation and growth-driven insights via LLM influencer modeling, enhancing acquisition and retention for retail clients.
• Built foundational data governance workflows and metadata management for optimized creative campaign delivery.

Jun 2021 – Jan 2022 · 7 mos · Atlanta, Georgia, United States · On-site

• Led a 21-member team to enhance e-commerce search precision through AI, driving a $60M increase in annual revenue.
• Executed enterprise-wide data integrity initiatives improving metadata enrichment and taxonomy refinement for superior AI search outcomes.

Jul 2017 – Jun 2021 · 3 yrs 11 mos · Riyadh, Saudi Arabia · On-site

• Managed $150M budget for national AI and digital transformation projects, scaling coding programs from 30K to 1.7M participants.
• Integrated NLP-powered storytelling and automated educational content to support national creative campaigns combating youth radicalization.

Jun 2016 – May 2017 · 11 mos · Berkeley, CA · On-site

• Launched analytics platform for pharmaceutical and retail sectors, onboarding enterprise clients within 90 days.
• Built and scaled a 27-member engineering team driving lean product development and innovation.

May 2014 – Apr 2016 · 1 yr 11 mos · Raleigh, NC, USA · On-site

• Developed predictive analytics tools improving deal sourcing and property scoring for Coldwell Banker, boosting acquisition decision accuracy by 35%.
• Led multinational teams servicing clients including Bank of America, Farmers Insurance, Emirates Airline, and Victoria's Secret.
• Delivered AI-driven property valuation and market prediction models optimizing real estate portfolios.

Jan 2014 – Aug 2014 · 7 mos · Providence, Rhode Island Area · On-site

• Research Lead at the Cost of War Project at the Watson Institute

Jan 2011 – Jun 2014 · 3 yrs 5 mos · Islamabad · On-site

• Led a 69-member cross-functional team to build national-scale analytics platforms in public safety, healthcare, and digital identity.
• Designed and deployed AI-powered systems for epidemic modeling, criminal behavior prediction, and counter-terrorism intelligence using geo-fencing, CDR analysis, and open-source threat indicators.
• Directed R&D for major platforms: PAFIS (biometric ID), eDWS (outbreak detection), TM3 (terrorism mitigation), iCrime (urban security mapping), iVerify (keystroke biometrics), PROMIS & RTS (e-governance & transport automation).
• Embedded agentic AI into surveillance and risk assessment tools, enabling autonomous decision-making and adaptive threat response.
• Advanced national infrastructure with AI-driven solutions in telemedicine (mHealth), cyber-forensics (iForensics), and penetration testing (iSecurity).
• Advocated data science for social good, improving healthcare optimization, digital authentication, and urban planning

Dec 2009 – Dec 2010 · 1 yr · Topi · On-site

• Taught core undergraduate courses in Artificial Intelligence and Software Quality Assurance, with a focus on real-world applications of intelligent systems.
• Founded the BiSMiL Lab (Bio-Inspired Simulation and Modeling of Intelligent Life), pioneering research in swarm intelligence and biologically inspired computation.
• Designed and introduced three interdisciplinary courses:
• Biology for Computer Science – bridging life sciences and AI modeling
• Swarm Intelligence – distributed AI algorithms and multi-agent systems
• Personalities in Computer Science – exploring thought leadership and innovation in tech
• Contributed to institutional development through curriculum design, faculty recruitment, student placement, and academic review committees.
• Sparked early academic interest in swarm intelligence and self-organizing systems, laying the foundation for advanced research in multi-agent AI

Aug 2006 – Dec 2006 · 4 mos · Riverwoods, IL · On-site

• Validated data integrity and optimized ETL workflows across enterprise platforms to support financial system integration during mergers and acquisitions.
• Consolidated high-volume transactional datasets, ensuring accuracy, consistency, and compliance in large-scale data migrations.
• Provided technical leadership to a team of ML and data engineers, building early automation pipelines for structured data handling.
• Contributed to scalable data engineering foundations, enabling future enterprise AI/ML pipeline development.
• Key Skills: ETL · Data Warehousing · Data Validation · Data Transfer · M&A Data Integration · Machine Learning

May 2006 – Jul 2006 · 2 mos · Greater New York City Area · On-site

• Collaborated with the data mining team to develop and refine fraud detection models using customer transaction data.
• Gained early experience in behavioral analytics, anomaly detection, and large-scale financial data processing.
• Supported the design of data workflows that informed early principles of AI-driven risk and compliance systems.