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I am a driven AI Engineer specializing in Generative AI, RAG, and responsible AI. I create end-to-end GenAI solutions across analytics, ML, and cloud-native deployments. I bring 6+ years of hands-on experience across data analytics, machine learning, business intelligence, and enterprise GenAI programs.\n\nI focus on designing robust RAG pipelines, agentic AI workflows, LLM-powered apps, prompt engineering, vector databases, grounding accuracy, and error mitigation. I value governance and production readiness, with strong collaboration across compliance, operations, and engineering to deliver scalable AI that improves decision-making and operational efficiency.…I am a driven AI Engineer specializing in Generative AI, RAG, and responsible AI. I create end-to-end GenAI solutions across analytics, ML, and cloud-native deployments. I bring 6+ years of hands-on experience across data analytics, machine learning, business intelligence, and enterprise GenAI programs.\n\nI focus on designing robust RAG pipelines, agentic AI workflows, LLM-powered apps, prompt engineering, vector databases, grounding accuracy, and error mitigation. I value governance and production readiness, with strong collaboration across compliance, operations, and engineering to deliver scalable AI that improves decision-making and operational efficiency.

JAYAPRIYA MUTHURAMASAMY

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I am a driven AI Engineer specializing in Generative AI, RAG, and responsible AI. I create end-to-end GenAI solutions across analytics, ML, and cloud-native deployments. I bring 6+ years of hands-on experience across data analytics, machine learning, business intelligence, and enterprise GenAI programs.\n\nI focus on designing robust RAG pipelines, agentic AI workflows, LLM-powered apps, prompt engineering, vector databases, grounding accuracy, and error mitigation. I value governance and production readiness, with strong collaboration across compliance, operations, and engineering to deliver scalable AI that improves decision-making and operational efficiency.…I am a driven AI Engineer specializing in Generative AI, RAG, and responsible AI. I create end-to-end GenAI solutions across analytics, ML, and cloud-native deployments. I bring 6+ years of hands-on experience across data analytics, machine learning, business intelligence, and enterprise GenAI programs.\n\nI focus on designing robust RAG pipelines, agentic AI workflows, LLM-powered apps, prompt engineering, vector databases, grounding accuracy, and error mitigation. I value governance and production readiness, with strong collaboration across compliance, operations, and engineering to deliver scalable AI that improves decision-making and operational efficiency.

Available to hire

I am a driven AI Engineer specializing in Generative AI, RAG, and responsible AI. I create end-to-end GenAI solutions across analytics, ML, and cloud-native deployments. I bring 6+ years of hands-on experience across data analytics, machine learning, business intelligence, and enterprise GenAI programs.\n\nI focus on designing robust RAG pipelines, agentic AI workflows, LLM-powered apps, prompt engineering, vector databases, grounding accuracy, and error mitigation. I value governance and production readiness, with strong collaboration across compliance, operations, and engineering to deliver scalable AI that improves decision-making and operational efficiency.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

GenAI Coop at UPS

January 1, 2026 - May 1, 2026

Led end-to-end Retrieval-Augmented Generation (RAG) based AI assistant leveraging Google Vertex AI, Gemini models, vector search, LangChain, embeddings, and vector databases to support international shipment exception handling and customs compliance reviews. Implemented multi-agent workflows using LangGraph and CrewAI for autonomous document retrieval, classification, and recommendations; designed prompt engineering and grounding strategies to produce actionable compliance recommendations; improved grounding accuracy and reduced hallucinations; integrated regulatory knowledge sources and reviewer feedback loops; optimized retrieval performance increasing precision and reducing review time.

Data Scientist at Goldman Sachs

June 1, 2023 - November 1, 2024

Developed an end-to-end offer performance forecasting platform and a RAG-enabled analytics assistant to provide contextual insights into campaign performance, forecasting outputs, and business drivers; leveraged Azure AI Foundry, Azure OpenAI, Azure ML and Fabric to build and deploy GenAI solutions; designed multi-agent workflows to automate data retrieval, forecast explanations, feature analysis, reporting, and enterprise integrations; built and evaluated ML models and time-series forecasts; implemented automated model validation, drift checks, and CI/CD-ready quality gates; deployed forecasting models into production analytics pipelines.

Data Scientist at Ericsson India Global Services

April 1, 2019 - July 1, 2021

Applied time-series forecasting and ML on LTE/3G performance data across 1,000+ sites to identify congestion patterns, forecast KPI degradation, and optimize capacity; developed classification and regression models for anomaly detection and KPI trends; built scalable ETL pipelines with PySpark and distributed data processing; integrated analytics with AWS cloud services for centralized storage and operational reporting; designed automated retraining and monitoring for sustained accuracy.

Data Analyst at Ericsson India Global Services

October 1, 2017 - March 1, 2019

Conducted exploratory data analysis on telecom datasets, built predictive models for traffic forecasting and hotspot identification, implemented ETL workflows across ENIQ/ENM/OSS, automated recurring reporting, and delivered Tableau dashboards and KPI scorecards to leadership stakeholders; worked on neural network/sequence modeling exploration (LSTM/GRU) and time-series deep learning in TensorFlow/PyTorch; collaborated with engineering teams to operationalize analytics into reporting and decision support.