Devendra Pitaliya

Senior AI Engineer specializing in designing, researching, and deploying enterprise-scale AI/ML and Generative AI solutions that transform complex business problems into intelligent, production-ready systems. Experienced across the full AI lifecycle — from problem framing and experimentation to architecture design, model development, deployment, and continuous optimization.

Built a LangGraph-based multi-agent system (10+ agents, 25+ tools) automating sales, research, and content workflows reducing operations by 60%. Developed scalable agent infrastructure using BaseAgent/Tool inheritance, StateGraph orchestration, MongoDB checkpointing, and async WebSocket streaming. Integrated Pinecone semantic retrieval with Pydantic State Schemas for typed I/O and consistent agent behavior across pipelines. Created 10+ agent prompts and 20+ AI outreach templates, boosting campaign engagement by 18%. Tech Stack: Python, FastAPI, LangGraph, LangChain, Pinecone, MongoDB, Pydantic, AsyncIO, WebSockets, AWS, Git

Analyzed extensive healthcare datasets, uncovering trends that enhanced decision-making processes by 30% and improved patient care outcomes. Developed predictive machine learning models, boosting resource allocation efficiency by 25% in healthcare environments. Developed a coverage report for Original Equipment Manufacturer and healthcare clients, providing end-to-end visibility. Created a supplier competency matrix, identifying high-risk suppliers and implementing strategies that reduced risks by 40%. Presented data analysis findings to stakeholders, driving data-driven decisions that increased operational efficiency across multiple departments. Engineered an intelligent platform to assess supplier agility, improving shipment performance by 20% during demand fluctuations. Designed and launched a Supply Plan Application, optimizing shipment allocation and reducing line downtimes across 10+ facilities. Utilized SQL for data extraction and analysis, leveraging visualization tools to accelerate decision-making processes by 15% for stakeholders.

Developed and maintained dashboards, reports, and interactive visualizations to provide insights into key performance indicator. • Delivered daily reporting by collecting, cleaning, and analysing in Excel and Tableau Visualization. • Specialized in SAP BASIS for production systems, focusing on server-side with SQL and ABAP troubleshooting. • Successfully reduced system vulnerabilities by 98% through quarterly maintenance (Linux Patching, JVM, Kernel, SBP, Web Dispatcher upgrades). • Maintained 99.9% system uptime by proficiently handling system start/stop procedures. • Ensured smooth operation of critical systems with consistent round-the-clock shift work. Achieved a 95% decrease in critical incidents by demonstrating exceptional system monitoring skills. • Identified key performance indicators (KPIs) and tracked their progress over time • Attained a 92% customer satisfaction rate by efficiently executing and closing tickets. Improved job efficiency by 90% through active job monitoring and management.