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I'm Arjun โ an AI/ML Engineer and Governance Architect based in Bharat ๐ฎ๐ณ, building the trust infrastructure that responsible AI demands. I started as a full-stack engineer, but the deeper I went into deploying AI in production โ for fintech, HR, and healthtech โ the clearer one thing became: enforcement was missing. Every system was intelligent. None were accountable. That realization became KavachX โ India's first real-time AI governance engine that treats compliance not as a checkbox, but as an engineering primitive. What drives me:
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class TheIndicSentinel:
name = "Arjun"
role = "AI Governance Architect"
location = "Bharat ๐ฎ๐ณ"
mission = "Digital Armor for AI"
law_stack = [
"DPDP Act 2023",
"IT Act 2000",
"AI Accountability Norms"
]
tech_stack = [
"Python", "FastAPI",
"PyTorch", "React",
"Docker", "PostgreSQL"
]
def philosophy(self):
return (
"Not just intelligent."
" Accountable."
) |
KavachX is not a library. It is not a tool. It is a governance infrastructure โ the policy firewall that stands between AI models and the real world.
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Every inference intercepted, analyzed across composite risk dimensions, and scored before a token reaches the user. |
Custom-trained classifiers built for Indian linguistic context โ understanding nuance, intent, and domain-specific harm. |
Immutable audit chains with cryptographic logging. Every decision timestamped and surfaced on a live compliance dashboard. |
From headless API middleware to browser-level interception โ governance woven into the fabric, not bolted on. |
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ AI MODEL (LLM / ML System) โ
โโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโ
โ Inference Request
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ K A V A C H X E N G I N E โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Gate 1: ๐ Security โ Prompt Injection / NAEL โ
โ Gate 2: ๐งฌ Safety โ Hate, Bias, Harm Scoring โ
โ Gate 3: ๐ Compliance โ DPDP PII / IT Act Check โ
โ Gate 4: ๐ Audit โ Immutable Log + Dashboard โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Governed Response
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ END USER / CLIENT โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Real-time governance platform acting as the middle-layer for AI interactions. Composite risk scoring, ML-native safety classifiers, and an immutable compliance audit chain. Capabilities:
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A zero-dependency Python utility and library to identify and redact Aadhaar, PAN, UPI, and other sensitive identifiers critical for DPDP compliance. Capabilities:
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A curated index of laws, frameworks, tools, and research papers focused on building Responsible and Compliant AI within the Indian ecosystem. Capabilities:
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LLM-powered bilingual assistant enabling Indian traders to query inventory, sales, and business health in natural language โ Hindi or English. Capabilities:
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Q2 2026 โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโบ
โ
โโโ ๐งฌ Bhasha-Shield
โ High-speed safety filter for Indian languages (Indic-NLP)
โ Detecting prompt injection in Hindi, Tamil, Bengali, Telugu
โ
โโโ ๐ PrivacyConnect SDK
โ Lightweight middleware bridging LLM agents with India Stack
โ Account Aggregator + ONDC in a DPDP-compliant wrapper
โ
โโโ ๐ฆ DPDPA-Masker (OSS Package)
โ Pip-installable PII redaction for Indian data patterns
โ Targets: Aadhaar, PAN, UPI IDs, Indian phone formats
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โโโ ๐ Governance-as-Code
Terraform provider for AI safety policies
Automate compliance across cloud environments at scale
| Initiative | Status | Description |
|---|---|---|
| ๐ก๏ธ KavachX v3.6 โ ML Hardening | ๐ข Active | Fine-tuning domain safety classifiers for general AI safety |
| ๐ DPDP Compliance Engine | ๐ข Active | Tightening PII detection with Bharat-native data patterns |
| ๐งฌ Bhasha-Shield (Indic NLP) | ๐ก Research | Multilingual safety filter for Indian dialect prompt attacks |
| ๐ฆ DPDPA-Masker OSS Package | ๐ต Planned | Public pip package for DPDP-aligned PII redaction |
| โ๏ธ Technical Blog | ๐ต Planned | Engineering deep-dives on AI governance architecture |



