Girish D.

About Girish D.

I am a highly analytical and results-driven Data Science professional with 10+ years of experience delivering scalable, data-driven solutions across Retail, Logistics, Healthcare, and Banking domains. I specialize in translating complex business requirements into impactful AI and analytics solutions by combining deep technical expertise with strong business acumen.2,My expertise includes designing and building large-scale big data and AI platforms using Machine Learning, NLP, GenAI (LLMs), BERT, Retrieval-Augmented Generation (RAG), vector search, Spark, Kafka, real-time streaming, and cloud technologies. I have hands-on experience architecting and deploying end-to-end systems that drive measurable outcomes such as improved search relevance, personalization, and revenue growth.3.I have led AI-driven initiatives in e-commerce, including product categorization, semantic search, and personalized recommendation systems using LLMs (GPT-4), BERT models, LangChain, and vector databases, deployed at scale on cloud platforms such as AWS SageMaker.4,In addition to industry experience, I am a published researcher in applied machine learning for healthcare, with work focused on predictive modeling and AI-driven segmentation to improve clinical decision-making. This reflects my passion for applying Data Science and AI to solve real-world problems across both commercial and societal domains.5.I bring strong end-to-end ownership across the data lifecycle, including data ingestion, data quality, governance, management, model development, deployment, reporting, and advanced analytics, while continuously optimizing systems for performance, scalability, and business impact.

Experience

1. Lead Ai Engineer

   Marketamerica

   Sep 2022 — Present · Charlotte, NC, US

   Led GenAI and NLP initiatives for e-commerce product categorization using LLMs (GPT-4) and fine-tuned BERT models, improving product classification accuracy and search relevance, contributing directly to revenue growth.2.Designed and implemented a Retrieval-Augmented Generation (RAG) framework leveraging vector databases, embeddings, and LangChain, enabling scalable semantic search and context-aware recommendations.3.Architected and deployed a vector search platform that enhanced product discovery and increased conversion rates by 27%.4.Built personalized recommendation systems using LLMs, BERT, and NLP pipelines, incorporating customer behavior and transaction data to drive repeat purchases and customer satisfaction.5.Optimized ML models using quantization and perturbation techniques, improving inference latency and reducing infrastructure costs while meeting business SLAs.6.Deployed and operationalized ML and LLM models on AWS SageMaker for real-time inference and scalable production workloads.7.Partnered with product, engineering, and business stakeholders to align AI solutions with commercial outcomes and growth strategies.8.Served as an AI/NLP subject-matter expert, mentoring teams and driving adoption of GenAI best practices across the organization.

Skills

• Business Process Improvement
• Sas/Enterpriseguide4.1
• Business Analysis
• Business Planning
• Microsoft Word
• Analysis
• Sas /Macro
• Market Research
• Business Process
• Teamwork
• Team Management
• Sas/Eis
• Sas/Stat
• Sas/Graph
• Strategic Planning
• Sas/B
• Sas/Ods
• Management
• Crm
• Pre-Sales
• Sas
• Business Development
• Data Analysis
• Sas/Base
• Analytics
• Business Strategy
• Microsoft Office
• Manufacturing
• Microsoft Excel