I’m Lokeshwari Godavarthi Madhu Leeds, an Applied AI/ML Engineer with 3+ years of experience designing and deploying GenAI, NLP, and machine learning solutions in cloud environments (Azure, GCP). I specialize in building scalable production systems, working with LLMs, Retrieval-Augmented Generation, and prompt engineering to automate knowledge work and improve decision-making. In cross-functional teams, I translate complex data problems into robust, cost-efficient AI solutions, delivering measurable impact such as faster responses and improved user satisfaction. I enjoy collaborating with product and engineering teams, applying strong data engineering, MLOps, and cloud skills to create reliable end-to-end AI platforms. I’m committed to continuous learning and helping organisations leverage GenAI responsibly and effectively.

Lokeshwari Godavarthi Madhu

I’m Lokeshwari Godavarthi Madhu Leeds, an Applied AI/ML Engineer with 3+ years of experience designing and deploying GenAI, NLP, and machine learning solutions in cloud environments (Azure, GCP). I specialize in building scalable production systems, working with LLMs, Retrieval-Augmented Generation, and prompt engineering to automate knowledge work and improve decision-making. In cross-functional teams, I translate complex data problems into robust, cost-efficient AI solutions, delivering measurable impact such as faster responses and improved user satisfaction. I enjoy collaborating with product and engineering teams, applying strong data engineering, MLOps, and cloud skills to create reliable end-to-end AI platforms. I’m committed to continuous learning and helping organisations leverage GenAI responsibly and effectively.

Available to hire

I’m Lokeshwari Godavarthi Madhu Leeds, an Applied AI/ML Engineer with 3+ years of experience designing and deploying GenAI, NLP, and machine learning solutions in cloud environments (Azure, GCP). I specialize in building scalable production systems, working with LLMs, Retrieval-Augmented Generation, and prompt engineering to automate knowledge work and improve decision-making. In cross-functional teams, I translate complex data problems into robust, cost-efficient AI solutions, delivering measurable impact such as faster responses and improved user satisfaction.

I enjoy collaborating with product and engineering teams, applying strong data engineering, MLOps, and cloud skills to create reliable end-to-end AI platforms. I’m committed to continuous learning and helping organisations leverage GenAI responsibly and effectively.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Work Experience

AI/ML Computational Science Analyst at Accenture Solutions Pvt Ltd
August 1, 2024 - December 1, 2025
Led end-to-end development of intelligent document retrieval and autonomous agent workflows using Azure OpenAI, Cognitive Search, and Azure Functions. Implemented hybrid vector/keyword search, automated ingestion from SharePoint, and context-aware response generation. Designed production-grade retrieval pipelines, tracked metrics for relevance/precision/recall, and improved response times by 60%. Also built an autonomous Icertis Agentic Framework for contract processing and automated extraction/standardisation tasks, reducing processing time by 65% and increasing data consistency. Also contributed to MLOps initiatives across data ingestion and model evaluation.
Data Engineering Associate at Accenture Solutions Pvt Ltd
August 1, 2022 - July 1, 2024
Developed GenAI evaluation framework on Azure to automatically measure LLM performance (context relevance, sufficiency, precision, groundedness) and delivered a RAG-based evaluation pipeline with downloadable Excel reports. Built enterprise-grade AI knowledge platform with Azure Functions, Cosmos DB, Redis Cache, and OpenAI for contextual retrieval and enrichment. Automated ingestion from SharePoint and data cleaning/JSON structuring to boost LLM retrieval accuracy. Implemented MLOps-heavy workflows using Terraform and Azure DevOps for repeatable deployments. Also led MLOps project on diabetes prediction using GCP, Docker, and BigQuery.

Education

B.E. in Computer Science Engineering at Bharath Institute of Higher Education and Research
January 11, 2030 - August 1, 2022

Qualifications

Databricks certified Associate data engineer
January 11, 2030 - January 28, 2026
MongoDB SI Associate certification
January 11, 2030 - January 28, 2026
Python programming masterclass
January 11, 2030 - January 28, 2026
Data Analysis with Python by IBM
January 11, 2030 - January 28, 2026
Microsoft Azure AI -900
January 11, 2030 - January 28, 2026
Microsoft Azure AI -102
January 11, 2030 - January 28, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment