Staff Software Engineer at ServiceNow — founded the MCP-driven Agentic Developer Platform used by 20+ teams (Claude Code · MCP servers · agents · skills). AI Agents, MCP & agentic platform engineering. Ex-Rippling | Ex-Reputation | Ex-Oracle. NIT Trichy (MCA), 16+ years of software development from Hyderabad, India.

• 🔌 Founded the Agentic Developer Platform (ADP) — multi-team bootstrap and governance for Claude Code, MCP servers, agents & skills: built in 4 weeks, 20+ skills, 20+ agents, 20+ teams.
• 🤖 Led the architecture of the Build Agent in ServiceNow Studio — metadata-aware, multi-model (Claude + Now LLM + Bedrock), self-healing agentic workflows across 35+ metadata types & 11 domains.
• ⚡ −95% research & debugging effort, −90% case resolution time, −90% external defects on MCP-driven workflows.
• 🏆 Patent holder (US20150046358) for importing tested objects into benefits programs at Oracle.
• 🌱 Exploring AI-first development practices — mentoring engineers in agentic development.

Staff/Principal roles building AI agents, MCP tooling, or agentic platforms — AI startups, dev tools, or mission-driven orgs. Remote (IST, US/EU overlap) or Hyderabad/Bengaluru. DMs open: agent platform work, MCP deep dives.

• 🌐 Portfolio: https://xpressabhi.github.io
• 📄 CV (with PDF download): https://xpressabhi.github.io/resume/

• AI & Agentic Engineering — AI agents, Agent UIs, MCP workflows, Claude Code, LLM APIs (Anthropic, OpenAI, Gemini), LangChain / LangGraph, Prompt engineering, Tool orchestration, Multi-model systems, Multi-agent orchestration, REAct agents, LLM evals (golden sets, LLM-as-judge), Agent evaluation & guardrails, Human-in-the-loop agent design (plan → approve → execute → verify), AI governance (AI Agent Studio / Control Tower), RAG / keyword retrieval (BM25, FTS5)
• Frontend & Platform — JavaScript (ES6+), TypeScript, React, Next.js, Redux Toolkit, RTK Query, Node.js, Webpack, Vite, PWA
• Backend & Data — Python, FastAPI, SQLite, Java, REST APIs, MongoDB
• Architecture — System design, Scalable frontend architecture, Design patterns, Developer productivity, Metadata-driven development
• Reliability & Quality — Jest, React Testing Library, Playwright, Performance optimization, Performance profiling & tuning (production regressions, budgets), WCAG / ARIA accessibility
• CI/CD & Tooling — GitHub Actions, Jenkins, Docker
• Observability — Sentry, LogRocket, Datadog, Sumo Logic, Agent observability (reasoning traces, tool-selection errors, cost/latency), On-call & incident command

• Agentic Developer Platform (ADP) — Multi-team bootstrap and governance infrastructure for Claude Code, MCP servers, agents, and skills. Built in four weeks on a multi-agent orchestration pattern, rolled out to 7 pilot squads across 20+ teams with 20+ skills and 20+ agents.
• MCP-driven engineering workflows — Integrated MCP-driven agentic workflows into the engineering lifecycle organization-wide. Reduced research and debugging effort by approximately 95% while improving accuracy.
• Build Agent, ServiceNow Studio — Elevated App Engine with agentic workflows for AI-assisted application creation, flow generation, and tool orchestration across 35+ metadata types and 11 domains. Built on the planning pattern (think first, then execute) with a metadata-aware, multi-model (Claude default; Now LLM + Claude on Bedrock), self-healing agentic architecture.
• Release lifecycle & app summary agents — Automated delta analysis, human-readable release notes, and CAB-ready deployment manifests: documentation time from hours to a single click. Built on the REAct agentic framework (reason → act → observe). Ships as the Release lifecycle documentation agent in Now Assist for Creator.

• SpendIQ Copilot — Conversational spend-analysis agent: LangGraph ReAct over SQLite + FTS5 with SQL guardrails (SELECT-only, read-only connections), an AST-whitelisted calculator instead of eval, and a 14-case golden-set eval harness with majority voting, all passing
• ordo — On-device vision-language model built on Qwen2-VL-2B with llama.cpp across a GGUF quantization ladder, deployed to iPhone (A16), with a private photo eval set, per-stage TTFT decomposition, and LoRA accuracy recovery
• Revision — Local-first Tauri desktop app for principal-level interview prep: FSRS-5 spaced repetition, drag & air gestures, single SQLite file, fully offline. DSA / system design / AI / behavioral decks with glassmorphic review, cloze + KaTeX, and 53-week analytics
• Switchyard — Interactive simulator for an agentic AI + RAG pipeline: watch ingestion, retrieval, tool calls, memory, and a live trace of every internal step while the loop runs.
• jev-browser — Harness-agnostic TypeScript core that puts Jev (TypeSafe System One) in charge of browser decisions: one observed element and one operation per step, text-only payloads with no screenshots in the loop, zero runtime dependencies
• job-search-skills — Two portable agent skills that run an entire job search locally: job-finder sweeps boards and ranks roles by real eligibility, apply-to-jobs autofills and submits ATS applications in your own browser, and a Jev decision layer keeps uncertain answers uncertain
• intent — Repo-owned protocol and verifier for agent-driven changes: declared scope, protected tests, digest-bound approvals, and a green baseline
• job-radar — Daily crawl of senior+ frontend and AI engineering roles in India from company ATS boards into a static site with JSON/RSS feeds; zero runtime dependencies, forkable configuration
• tutor — Adaptive tutor skill for AI coding agents: one question per turn, difficulty tuned to the learner, state on disk that survives a clean context