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Hi, I’m Lakshmi Niharika Gali, an AI & Data Engineer with 4 years of experience building enterprise AI, data engineering, and analytics solutions. I’ve contributed at Cognizant, MindHome, and Wells Fargo, delivering scalable pipelines, agentic AI, and retrieval-augmented generation systems that supported 500K+ inferences and 4+ banking automation initiatives. I’ve deployed multiple production AI applications on Azure and GCP and engineered data platforms that reduced monthly pipeline failures and processed millions of records. I enjoy tackling complex problems with agentic AI, RAG, and cloud-native deployments, while upholding Responsible AI practices and governance. My focus areas include LLM integration, semantic search, feature engineering, and observability, ensuring reliable, context-aware outcomes across enterprise-scale environments.…Hi, I’m Lakshmi Niharika Gali, an AI & Data Engineer with 4 years of experience building enterprise AI, data engineering, and analytics solutions. I’ve contributed at Cognizant, MindHome, and Wells Fargo, delivering scalable pipelines, agentic AI, and retrieval-augmented generation systems that supported 500K+ inferences and 4+ banking automation initiatives. I’ve deployed multiple production AI applications on Azure and GCP and engineered data platforms that reduced monthly pipeline failures and processed millions of records. I enjoy tackling complex problems with agentic AI, RAG, and cloud-native deployments, while upholding Responsible AI practices and governance. My focus areas include LLM integration, semantic search, feature engineering, and observability, ensuring reliable, context-aware outcomes across enterprise-scale environments.

Lakshmi Niharika Gali

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Lakshmi Niharika Gali, an AI & Data Engineer with 4 years of experience building enterprise AI, data engineering, and analytics solutions. I’ve contributed at Cognizant, MindHome, and Wells Fargo, delivering scalable pipelines, agentic AI, and retrieval-augmented generation systems that supported 500K+ inferences and 4+ banking automation initiatives. I’ve deployed multiple production AI applications on Azure and GCP and engineered data platforms that reduced monthly pipeline failures and processed millions of records. I enjoy tackling complex problems with agentic AI, RAG, and cloud-native deployments, while upholding Responsible AI practices and governance. My focus areas include LLM integration, semantic search, feature engineering, and observability, ensuring reliable, context-aware outcomes across enterprise-scale environments.…Hi, I’m Lakshmi Niharika Gali, an AI & Data Engineer with 4 years of experience building enterprise AI, data engineering, and analytics solutions. I’ve contributed at Cognizant, MindHome, and Wells Fargo, delivering scalable pipelines, agentic AI, and retrieval-augmented generation systems that supported 500K+ inferences and 4+ banking automation initiatives. I’ve deployed multiple production AI applications on Azure and GCP and engineered data platforms that reduced monthly pipeline failures and processed millions of records. I enjoy tackling complex problems with agentic AI, RAG, and cloud-native deployments, while upholding Responsible AI practices and governance. My focus areas include LLM integration, semantic search, feature engineering, and observability, ensuring reliable, context-aware outcomes across enterprise-scale environments.

Available to hire

Hi, I’m Lakshmi Niharika Gali, an AI & Data Engineer with 4 years of experience building enterprise AI, data engineering, and analytics solutions. I’ve contributed at Cognizant, MindHome, and Wells Fargo, delivering scalable pipelines, agentic AI, and retrieval-augmented generation systems that supported 500K+ inferences and 4+ banking automation initiatives. I’ve deployed multiple production AI applications on Azure and GCP and engineered data platforms that reduced monthly pipeline failures and processed millions of records.

I enjoy tackling complex problems with agentic AI, RAG, and cloud-native deployments, while upholding Responsible AI practices and governance. My focus areas include LLM integration, semantic search, feature engineering, and observability, ensuring reliable, context-aware outcomes across enterprise-scale environments.

Skills

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Work Experience

AI Software Engineer at Wells Fargo

February 1, 2026 - Present

Led Agentic AI workflows and orchestration frameworks for 4+ banking automation initiatives. Built LLM-powered applications using Python, PyTorch, Hugging Face, LangChain, and LangGraph, integrating APIs and vector databases for knowledge retrieval and document processing. Designed RAG pipelines and prompt evaluation frameworks, supporting 500K+ inferences with context-aware responses. Operationalized modular AI services and MLOps pipelines on GCP and Azure, enabling CI/CD, model monitoring, and deployment of 3 production AI applications. Consolidated SQL and NoSQL data pipelines across 10+ enterprise data sources to power AI-driven insights and retrieval applications. Implemented Responsible AI governance with observability guardrails and presented recommendations to cross-functional stakeholders.

AI Engineer – Internship at MindHome, Inc.

September 1, 2025 - November 30, 2025

Investigated 1M+ sensor and operational records using Python and AI-driven analytics to identify anomalies, performance trends, and data drift patterns, reducing manual analysis effort by 35% and supporting reliable model outputs. Refined and transformed data across 25+ structured and unstructured datasets through preprocessing and feature engineering techniques, improving readiness for machine learning and LLM-based workflows. Automated AWS data pipelines to deliver AI-assisted insights and reports for 6 cross-functional teams.

Data Analytics Engineer at Cognizant

October 1, 2021 - December 31, 2023

Engineered Hive and Kafka-based ETL/ELT pipelines for large-scale data processing with policy-driven validation and safety checks that reduced 25+ pipeline failures per month. Streamlined PySpark and SQL workflows by implementing canary testing, monitoring, and observability frameworks, supporting low-latency batch and real-time processing across multilingual datasets. Provisioned MLOps infrastructure using Terraform, enabling controlled deployments, rollback mechanisms, and environment management across Azure and GCP. Elevated Azure Data Services (Data Factory, Synapse, Databricks, and Azure SQL Database) to support scalable analytics workloads across 12+ business functions. Authored technical architecture documentation covering Kafka streaming pipelines, Hive data models, and system integration patterns, reducing onboarding time for new engineers. Partnered cross-functionally with business analysts, architects, and SRE teams to troubleshoot high-priority data issues, achieving zero S

Junior Analyst at Cognizant

March 1, 2021 - October 31, 2021

Automated Excel and SQL KPI reporting by consolidating multi-source data, reducing manual effort by 35 hours/month. Built Excel- and SQL-based KPI dashboards, cutting manual reconciliation by 35 hours per month. Automated KPI reports and dashboards in Excel and SQL, saving 35 hours/month in manual reconciliation.