Open to opportunities

Sundar Ram Subramanian

@sundarramsubramanian

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Applied AI engineer designing production-grade LLM, RAG, and multi-agent systems to deliver measurable business impact.

United States

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What I'm looking for

I’m looking to build production-grade LLM/RAG and multi-agent AI systems end-to-end—agent orchestration, evaluation, guardrails, and AWS deployment—where measurable business outcomes matter and continuous learning is supported.

I’m an Applied AI engineer with 6 years of industry experience and a Master’s specialization in Machine Learning. I focus on designing and deploying production-grade AI systems powered by LLMs, multi-Agent architectures, RAG, MCP, and Deep Learning, turning advanced models into reliable solutions.

In my recent role at the University of Arizona, I designed and implemented a Shop floor AI Service Assistant using a 12-agent LangGraph architecture integrating RAG, MCP, MySQL, ChromaDB, human-in-the-loop approvals, evaluation pipelines, governance, guardrails, and observability through LangSmith. I also built an LLM-driven Multi Agentic Decision Support System for Jewelry Merchandising (~30% sales boost) and leveraged LoRA(PEFT) to fine-tune a Foundational Music Model with ~70% perceptual acceptance.

At Titan Company Limited, I spearheaded an enterprise Data Centre of Excellence and led end-to-end delivery of GenAI and ML solutions using Python and SQL, including building & deploying LLM/ML pipelines and web apps/dashboards. I developed and deployed an LLM-powered sentiment analysis web application (improving targeted campaigning and product planning outcomes by ~30%), created a Merchandise Copilot pipeline (driving ~30% sales uplift per store), and delivered segmentation and analytics initiatives that improved CRM engagement metrics by ~60%—while also reducing proto-dial lead time from 45 to 10 days (77%) through causal inferencing.

Experience

Work history, roles, and key accomplishments

Graduate Researcher

University of Arizona

Aug 2025 - May 2026 (9 months)

Designed and implemented a 12-agent LangGraph shop-floor AI service assistant integrating RAG, MCP, MySQL, ChromaDB, human-in-the-loop approvals, evaluation pipelines, guardrails, and observability to automate troubleshooting, maintenance, and incident workflows. Built an LLM-driven multi-agent decision support system for jewelry merchandising to boost sales ~30% and fine-tuned a music model with

LangGraph LLM RAG Model Context Protocol (MCP)MySQL ChromaDB Langsmith GuardRails Observability

Assistant Manager - Data Science

Titan Company Limited

Oct 2023 - Jul 2025 (1 year 9 months)

Led end-to-end delivery of GenAI and ML solutions via a Data Centre of Excellence, including data collection, curation, preprocessing, and deployment of LLM/ML pipelines and dashboards for business use cases. Developed and deployed an LLM-powered sentiment analysis web application improving targeted campaigning and planning outcomes by ~30%, and built an LLM-driven merchandising copilot to drive ~

Python SQL OpenAI API Streamlit AWS Glue Amazon Redshift Customer Segmentation Tableau

Young Leadership Associate

Titan Company Limited

Apr 2023 - Sep 2023 (5 months)

Led product attribution and optimized inventory using demographic segments, driving ~30% annual growth in wedding category sales. Partnered cross-functionally with product and design teams using sales analytics to inform data-driven insights for new product introductions.

Attribution Inventory Optimization Segmentation Sales Analytics Data Insights Cross Functional Collaboration

Senior Data Scientist

Titan Company Limited

Jul 2019 - Mar 2023 (3 years 8 months)

Steered manufacturing analytics for 600+ watch designs by deploying decision support systems and using project management to deliver manufacturing insights. Reduced proto-dial manufacturing lead time from 45 to 10 days (77%) using causal inferencing and enabled production without prototype approval by establishing product attribute correlation matrices.

Manufacturing Analytics Decision Support Systems Causal Inference Dashboarding

Education

Degrees, certifications, and relevant coursework

University of Arizona

Master’s in Information Science, Machine Learning

2024 - 2026

Grade: GPA: 4/4

Master’s in Information Science specializing in Machine Learning. Focused on building production-grade ML/AI capabilities and applying them to advanced, real-world problems.

XLRI (VIL)

Post Graduate Certification, Business Management

2023 - 2024

Grade: Rank: 4, GPA: 6.52/8

Post Graduate Certification in Business Management. Completed a fully sponsored program with a focus on business management fundamentals and applied learning.