PRATHAM PAYRA

Research on Fused Deep Learning in Intelligent Transportation Systems (ITS). Thesis submitted; awaiting defense. Research outcomes available on Google Scholar.

Research on Fused Deep Learning in Intelligent Transportation Systems (ITS). Thesis submitted; awaiting defense. Research outcomes available on Google Scholar.

Investigated fused deep learning methodologies for Intelligent Transportation Systems (ITS). Relocated to India in Oct 2025 due to personal circumstances; PhD discontinued.

Investigated fused deep learning methodologies for Intelligent Transportation Systems (ITS). Relocated to India in Oct 2025 due to personal circumstances; PhD discontinued.

Led a cross-functional team to build generative AI solutions for supply chain, mechanical engineering workflows, code intelligence, and project monitoring, leveraging LLM orchestration and MCP, resulting in 30% efficiency gains.

Led a cross-functional team to build generative AI solutions for supply chain, mechanical engineering workflows, code intelligence, and project monitoring, leveraging LLM orchestration and MCP, resulting in 30% efficiency gains.

Engineered an AI-powered customer engagement ecosystem utilizing RAG, N8N, VAPI and LUZMO, streamlining outbound contact-center operations. Orchestrated MCP-enabled LLM applications integrated with AWS, Docker and Twilio infrastructure, significantly reducing manual support dependencies.

Engineered an AI-powered customer engagement ecosystem utilizing RAG, N8N, VAPI and LUZMO, streamlining outbound contact-center operations. Orchestrated MCP-enabled LLM applications integrated with AWS, Docker and Twilio infrastructure, significantly reducing manual support dependencies.

Delivered intelligent contact-center automation platforms by combining Twilio IVR, Llama-2 and RAG architectures, shortening customer query resolution cycles. Constructed multilingual video localization and translation pipelines for sports commentary using GenAI, MoviePy, Whisper and LLM technologies. Formulated enterprise knowledge retrieval solutions utilizing Milvus, Mistral NLP and Ragatouille

Delivered intelligent contact-center automation platforms by combining Twilio IVR, Llama-2 and RAG architectures, shortening customer query resolution cycles. Constructed multilingual video localization and translation pipelines for sports commentary using GenAI, MoviePy, Whisper and LLM technologies. Formulated enterprise knowledge retrieval solutions utilizing Milvus, Mistral NLP and Ragatouille

Devised a production-grade coupon exchange framework, mitigating cold-start challenges through machine learning-driven ranking and recommendation methodologies.

Devised a production-grade coupon exchange framework, mitigating cold-start challenges through machine learning-driven ranking and recommendation methodologies.

Instituted personalization ranking engines using LambdaMART and Gradient Boosting models to refine user-centric search relevance. Led demand forecasting, transportation routing & dynamic pricing optimization via LSTM, network analytics and KM algorithms, contributing to 10% revenue uplift. Modernized review governance processes through AI-assisted moderation, transformer models, Naive Bayes and GP

Instituted personalization ranking engines using LambdaMART and Gradient Boosting models to refine user-centric search relevance. Led demand forecasting, transportation routing & dynamic pricing optimization via LSTM, network analytics and KM algorithms, contributing to 10% revenue uplift. Modernized review governance processes through AI-assisted moderation, transformer models, Naive Bayes and GP

Crafted insurance sales propensity models using Random Forest and SMOTE; uncovered high-impact campaign drivers through feature importance analytics. Produced time-series revenue forecasting solutions using Prophet and Dickey-Fuller testing.

Crafted insurance sales propensity models using Random Forest and SMOTE; uncovered high-impact campaign drivers through feature importance analytics. Produced time-series revenue forecasting solutions using Prophet and Dickey-Fuller testing.

Diagnosed power-plant equipment failures through Statistical Quality Control (SQC) c-chart analysis for turbine and boiler systems.

Diagnosed power-plant equipment failures through Statistical Quality Control (SQC) c-chart analysis for turbine and boiler systems.

PhD Candidate in Quality, Reliability & Operations Research. Thesis submitted; awaiting defense. Research focus: Fused Deep Learning in Intelligent Transportation Systems.

PhD Candidate in Quality, Reliability & Operations Research. Thesis submitted; awaiting defense. Research focus: Fused Deep Learning in Intelligent Transportation Systems.

M.Tech in Quality, Reliability & Operations Research with specialization in Applied Statistics & Operations Research.

B.E. in Power Engineering with specialization in Mechanical Engineering.

M.Tech in Quality, Reliability & Operations Research with specialization in Applied Statistics & Operations Research.

B.E. in Power Engineering with specialization in Mechanical Engineering.