Nov 2024 – Oct 2025 · 11 mos · Irving, Texas, United States · On-site

• At Verizon, I played a pivotal role in managing unstructured data through innovative AI/ML solutions. My responsibilities included designing GenAI architectures and evaluating tools to ensure seamless enterprise adoption. Additionally, I automated the SDLC, creating an Enterprise Knowledge Layer that streamlined code ingestion and design processes.

Oct 2022 – Nov 2024 · 2 yrs 1 mo · Irving, Texas, United States · Remote

• In my role as a Principal Architect - AI Solutions, I have successfully managed the handling of enterprise-wide unstructured data using AI/ML solutions. This involved working on RAG handling ingestion, chunking, enrichment, embedding, and retrieval processes. Additionally, I have been instrumental in building skillsets for Agentic use cases and utilizing LLMOps tools like Arize, and LangFlow to streamline operations and enhance data processing efficiency.

Apr 2019 – Sep 2022 · 3 yrs 5 mos · On-site

• Led end-to-end project execution in a Global setting for data analytics and governance in the telecom industry.
• Analyzed billions of records daily, delivering real-time insights via QlikView/Tableau dashboards.
• Developed machine learning models for fraud detection, saving $5M in fraud losses and automating processes.

May 2018 – Apr 2019 · 11 mos · Gurgaon, Haryana, India · On-site

• In my role as Manager Revenue Assurance at Airtel (India and Africa), I led the implementation of fraud management solutions, enhancing data integrity and leveraging analytics to streamline fraud detection processes. By preventing $400k in losses from real-time roaming fraud and successfully advocating for a system upgrade, I demonstrated my ability to drive impactful change within the organization.

Dec 2017 – May 2018 · 5 mos · Tehran Province, Iran · Remote

• I specialized in managing large volumes of telecom data at Notrika Radman Communication, ensuring data integrity and actionable insights.
• Scoped and executed data projects, defining business rules for accurate revenue reporting.
• Resolved critical data quality issues in subscriber datasets, enhancing the accuracy of call records.
• Analyzed call records to identify patterns, define KPIs, and detect anomalies, driving corrective actions and improved decision-making

Aug 2017 – Nov 2017 · 3 mos · Deira, Dubai, United Arab Emirates · On-site

• Enhanced Fraud Detection: Conducted data analysis to identify new fraud scenarios, improving detection capabilities.
• Implemented new controls: Enhanced system performance and expanded data coverage.
• Established 24x7 monitoring: Enabled predictive maintenance for proactive system management.

Sep 2014 – Aug 2017 · 2 yrs 11 mos · Bangalore · On-site

• Specialized in telecom data analytics, leading end-to-end data management for revenue assurance and fraud detection.
• Engineered statistical rules for sim-box detection, enabling real-time fraud detection with 100% accuracy.
• Developed QlikView dashboards for real-time insights, improving system visibility and decision-making.

Feb 2014 – Jun 2014 · 4 mos · On-site

• Developed production rules for processing billions of call detail records efficiently.
• Ensured high data quality and governance for critical data operations.
• Implemented fail-safe mechanisms to support near real-time data delivery.

Jun 2013 – Jan 2014 · 7 mos · Jaipur Area, India

• Embedded and robotics project design and development for Department of Science & Tech.

Oct 2011 – May 2013 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Strategized and executed data migration for product version upgrades, managing meta data and data catalogues.
• Configured and deployed BSS stack products including rating, charging, and billing systems.
• Implemented SMDB for real-time charging.

Jul 2011 – Sep 2011 · 2 mos

Feb 2011 – Jun 2011 · 4 mos

• Project development for electricity savings using Embedded System