Vetted ServiceNow Professionals

“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”

“Early-stage startup full-stack engineer who built an inventory and billing management product for retail shop owners in India, iterating quickly based on customer feedback. Has hands-on experience designing scalable cloud infrastructure on GCP with Kubernetes and applying clean architecture for testable, modular systems; also built internal monitoring dashboards for error and performance visibility.”

“Senior consultant in professional/managed services specializing in AIX on IBM Power Systems (Power9/10/11), handling multi-client work spanning LPAR builds, hardware refreshes (e.g., P8 to P10), storage/SAN migrations, and cloud migrations. Demonstrates strong operational depth across VIOS/HMC/vHMC, NIM + SUMA patching workflows, and PowerHA clustering, with a track record of scripting/automation (Jenkins + shell) to proactively monitor and streamline migrations.”

“Built and productionized a predictive maintenance system (predictEngineLife) estimating Remaining Useful Life for PW4000 turbofan engines from large-scale, noisy telemetry—emphasizing modular pipeline design, deterministic preprocessing, and strong observability/guardrails. Also has hands-on experience diagnosing multi-agent LLM customer-support workflows (schema/state issues, fallback paths, regression tests) and has led developer workshops (GDG Pune) while partnering with sales teams on technical discovery and POCs.”

“Built and deployed a production Task Prioritization App using Python/Streamlit/MongoDB with Gemini API to score and rank tasks by context (deadlines, dependencies, urgency). Focused on reliability challenges like prompt tuning for nuanced task understanding, concurrent DB updates, and performance via async LLM calls, and validated usability through iterative feedback with a non-technical end user.”

“Former CEO of GravyWork with hands-on experience building an org-wide strategic plan and modernization roadmap for a growing company. Uses Michael Gerber’s innovation/orchestration/quantification framework and structured as-is/gap/to-be analysis to drive cost reduction, automation/outsourcing decisions, and leadership alignment through change.”