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Paras Choudhary is a technology and applied science leader specializing in artificial intelligence, large-scale systems, and data-driven optimization. His career spans AI research, AdTech innovation, and applied science leadership across domains such as devices, forecasting, and intelligent automation. As a Distinguished Fellow of SCRS, Mr. Choudhary is recognized for pioneering contributions that bridge advanced machine learning with scalable engineering design.
In advertising technology, Mr. Choudhary has led the development of AI-powered platforms that underpin modern digital advertising ecosystems. He architected large-scale systems for contextual targeting and audience modeling, leveraging deep learning and natural language models to infer content, device, and geo-context without user identifiers—enabling privacy-preserving personalization. His work on audience targeting frameworks applied advanced clustering and behavioral analytics to create ML-driven customer cohorts, improving advertiser ROI and publisher yield across global markets. He also spearheaded the design of programmatic deal automation and workflow orchestration, streamlining multi-billion-dollar advertising transactions through machine learning–based forecasting, optimization, and blockchain-backed transparency. These innovations established new benchmarks in ad relevance, compliance, and efficiency within the programmatic ecosystem.
In AI-driven business science, Mr. Choudhary has authored foundational designs such as Euclid Promotion Science Architecture, Forecasting and Integration Frameworks, and Elasticity Store Science. These systems integrated Bayesian modeling, multi-promotion optimization, and ML-based elasticity estimation to transform how organizations forecast demand, optimize pricing, and execute promotions. His architectural blueprints for the Euclid ecosystem unified scientific forecasting with operational decision-making—enabling hands-off-the-wheel automation of pricing and sales planning across large-scale device portfolios.
Beyond his applied research, Mr. Choudhary serves as an academic and industry advisor, mentoring graduate researchers and evaluating AI model design and thesis work at major U.S. universities. His scholarly writing spans topics including probabilistic forecasting, agentic AI governance, and compliance-aligned automation in financial systems, most notably through his advisory work at Zime.AI and Transient.AI, where he has helped design transparent and auditable AI systems for CRM and institutional finance.
Mr. Choudhary’s body of work represents a rare intersection of scientific innovation, engineering leadership, and ethical AI application. His election as a Distinguished Fellow of SCRS recognizes his sustained contributions to advancing the state of applied AI and data science for industry and society.
ICST 2026 | IIT Patna, India | August 01-02, 2026
ADCIS 2026 | Oct 09 - 10, 2026 | MNIT Jaipur India
ICCIS 2026 | Sept 26-27, 2026 | BITS Goa India
CIS 2026 | Sept 05-06, 2026 | NIT Warangal India
AIC 2026 | August 29 - 30, 2026 | IEEE Conference | Jabalpur India
ICIVC 2026 | June 12-13, 2026 | ICFAI University, Dehradun
ICDSA 2026 - VIT Mauritius, Mauritius | July 11-12, 2026
PCCDA 2026 | Sejong University, Seoul, South Korea | June 27-28, 2026
CIMA 2026 | NIT Puducherry, India | May 23-24, 2026