JAIPUR, RAJASTHAN, INDIA

PRATHAMPANCHARIYA

AI Engineer — Building and securing production LLM & agentic AI systems — guardrails, governance, and generative AI products used by 500K+ people worldwide.

Let's talk→Resume ↓

GITHUB LINKEDIN

4+ YRS · LLM & AGENTIC SYSTEMS

0K+

Users served

Countries reached

Products shipped

Unsafe outputs reduced

(01)

Experience

SDE II | Founding AI Engineer

GrackerAI ↗

Built and deployed generative AI applications (Kveeky, Gracker, LogicBalls) serving 500K+ users across 200+ countries using Python, FastAPI, Next.js, and React.js.
Architected Gracker, an AEO/GEO platform that gets B2B SaaS and cybersecurity brands cited by AI search engines (ChatGPT, Perplexity, Claude, Gemini, Copilot, Google AI Overviews) via AI-visibility monitoring and citation-optimized content automation.
Engineered RAG pipelines and LLM integrations with LangChain and CrewAI to power multi-agent content generation and workflow automation.
Implemented AI guardrails, prompt filtering, and output validation across 8 production LLM endpoints, reducing unsafe and off-policy outputs by 85%.
Authored policy-as-code governance (OPA/Rego) and append-only audit trails for AI agent decisions, meeting enterprise compliance and traceability requirements.
Developed enterprise IAM systems (MojoAuth, SSOJet) with OTP and SSO (SAML, OIDC, SCIM), integrating 100+ identity providers.

March 2023 – Present

Backend Developer

FunctionUp

Built scalable Python (Flask/FastAPI) and Node.js backend services supporting real-time AI processing and data pipelines.
Designed and implemented RESTful APIs and automated data-processing workflows for AI model integration.

September 2022 – March 2023

Software Engineer

India I Tech Services Private Limited

Contributed to backend application development and web application projects at India I Tech Services.
Gained hands-on experience in JavaScript and REST API development, enhancing system functionality.
Collaborated on a large-scale project, focusing on database management and backend integration.

July 2021 – August 2022

(02)

Selected Work

internal — production

$chronos audit --agent all --window 24h

✓51,240 agent tasks governed

✓policy violations blocked: 312

✓audit trail: append-only · verified

▸0 unresolved risk scenarios

▌

01 · FEATURED

Chronos-Engine

AI Governance Platform

Production AI agent governance platform enforcing safety controls, audit traceability, and responsible AI policies across multi-agent orchestration systems processing 50K+ agent tasks/month.

Authored OPA policies in Rego enforcing AI governance constraints across all CrewAI agent pipelines — preventing off-policy outputs, data leakage, and privilege escalation.
Implemented Guardrails AI validators for prompt filtering and output validation across 8 production LLM endpoints, reducing policy violations by 70%.
Built an append-only audit log capturing every agent decision with structured metadata, enabling forensic review and compliance reporting.

Guardrails AIOPA/RegoCrewAILangChainPython

internal — production

$guardrails validate --endpoints prod/*

✓8/8 LLM endpoints protected

✓prompt injection attempts blocked: 1,904

✓unsafe outputs ↓ 85% (30d)

▸monitoring 200K+ calls/month

▌

02 · FEATURED

AI Safety & Guardrails System

Enterprise AI Safety Framework

Enterprise-grade AI safety framework deployed across all GrackerAI LLM products, governing 200K+ monthly LLM calls with real-time policy enforcement and full auditability.

Implemented OPA with Rego policies as the central rule engine — enforcing governance constraints, access control, and output safety across all LLM endpoints.
Integrated Guardrails AI validators for prompt injection defense, output validation, and misuse protection, reducing unsafe outputs by 85% in production.
Built a RAG pipeline safety layer with MCP — embedded safety checks at retrieval, context assembly, and generation stages.

Guardrails AIOPA/RegoPythonRAGMCPLangChain

gracker.ai

Gracker ↗

AEO / GEO Platform

Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) platform that gets B2B SaaS and cybersecurity brands cited by AI search engines — ChatGPT, Perplexity, Claude, Gemini, Copilot, and Google AI Overviews.

Built AI-visibility monitoring that tracks brand citations across ChatGPT, Perplexity, Claude, Gemini, Copilot, and Google AI Overviews, surfacing an AI Visibility Score and competitor benchmarking.
Engineered RAG-powered content automation that generates authoritative articles, comparison pages, and listicles structured for AI citation, driving measurable gains in AI search visibility.
Analyzed the sources AI engines cite to reverse-engineer ranking signals, turning them into actionable GEO recommendations for lean marketing teams.

PythonNext.jsAstro.jsMongoDBRAGLangChain

logicballs.com