Maheswari Yadav

Maheswari Yadav

Forward Deployed Engineer
USA
Full-time Hybrid

About Me

Forward-deployed engineer with nearly 3 years of experience specializing in AI-powered solutions, RAG, LLMs, cloud engineering, and customer-facing technical implementations. Strong expertise in Python, Java, LangChain, …

Experience

Forward Deployed Engineer

ServiceNow · NC
Feb 2026 - Present · 8 months

<p>Architected a RAG-based AI agent using Python, LangChain, and vector search on Azure OpenAI, reducing customer case resolution time by 42% across 3 enterprise deployments.</p><p> Engineered ServiceNow REST API integrations with AWS Lambda and PostgreSQL, automating 15K+ daily ITSM workflows and cutting manual ticket triage by 68%.</p><p> Deployed containerized microservices on Kubernetes (EKS) with CI/CD via GitHub Actions, achieving 99.95% uptime and reducing deployment cycles from 4 hours to 22 minutes.</p><p> Built real-time data pipelines processing 2M+ events/day using Python, Redis, and MongoDB, enabling sub-200ms latency for customer-facing dashboards.</p><p> Led technical discovery and PoC delivery for 7 Fortune 500 clients, translating requirements into solution designs that drove $1.2M in expansion revenue.</p>

Software Engineer

Infinite Infolab · India
May 2022 - Jul 2024 · 2 years 2 months

<p>Developed scalable backend services in Java and Python on AWS (EC2, S3, RDS), improving API throughput by 3.5x for 50K+ concurrent users.</p><p> Migrated monolithic banking modules to Dockerized microservices on Kubernetes, reducing infrastructure costs by 31% and deployment failures by 74%.</p><p> Optimized PostgreSQL queries and Redis caching for ETL pipelines handling 800GB+ monthly data, cutting report generation time from 12 minutes to 90 seconds.</p><p> Automated CI/CD pipelines with Jenkins and GitHub Actions, increasing release frequency from biweekly to 14 deployments/week with a 99.2% success rate.</p><p> Integrated ServiceNow workflows with custom REST APIs and MongoDB, automating 8K+ monthly IT requests and saving 1,100+ engineer hours annually.</p><p> Implemented monitoring and logging with ELK Stack and Grafana across 40+ microservices, reducing mean time to resolution (MTTR) by 57%.</p>

Skills

Python Java JavaScript TypeScript SQL Object-Oriented Programming Data Structures & Algorithms Backend Development Application Development Artificial Intelligence Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents Agentic AI Embeddings Vector Search AWS Microsoft Azure Google Cloud Platform (GCP) Cloud Computing Docker Kubernetes PostgreSQL MySQL MongoDB Redis Data Modeling Data Processing ETL Data Integration Customer-Facing Engineering Technical Discovery Solution Design Customer Requirements Production Implementation Technical Troubleshooting Solution Validation Proof of Concept (PoC) Git GitHub CI/CD Jenkins GitHub Actions Linux Monitoring Logging Automated Testing ServiceNow Platform
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