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neerazz/Readme.md

Neeraj header

Profile views 9 Years on GitHub Total Stars Papers Conf42

Typing SVG

Coder at work    Rocket launch    Coffee power

GitHub trophies

Neeraj Kumar Singh Beshane

I build the boring, invisible parts of security.

For $8B fintech rails powering Amazon, DoorDash, Walmart & TikTok Shop. And for the AI systems we're all about to depend on.

LinkedIn Medium ORCID Conf42 Website

Staff security engineer × peer-reviewed AI-safety researcher. Today: Zero Trust at Parafin (YC, $750M valuation). Three peer-reviewed publications in 2026 — open access, CC-BY 4.0: EmbedGuard (RAG security · IJCESEN, Scopus Q3) · GenOps (AI-in-CI/CD governance · JISEM, Scopus Q4 + DOAJ) · RuntimeGuard-AI (EU AI Act Article 14 compliance · JoCAAA).

Aureum Gold Laureate Hackathon Raptors Fellow IICSPA Fellow Sigma Xi IEEE Conf42


$ whoami

name:          Neeraj Kumar Singh Beshane
location:      San Francisco Bay Area, CA
current_role:  Staff Security Infrastructure Engineer @ Parafin
previous:      [Meta Reality Labs, Raymond James, Wayfair, JPMorgan Chase, American Express]
experience:    15+ years
focus:         Security Infrastructure × Distributed Systems × AI Safety
publications:  3 peer-reviewed (2026) · 1 under review
writing:       Technical articles on Medium and LinkedIn
speaking:      Conf42 DevOps 2026 — invited speaker

Research & Publications

Three peer-reviewed papers published in 2026 — all open access (CC-BY 4.0). Each project bundles paper + code + (where applicable) invited talk.

🛡️ EmbedGuard — RAG Security

Paper DOI Code

Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems · IJCESEN, Vol 12 No 1, pp 589–602 · 2026-02-05

Production RAG systems are vulnerable to adversarial embeddings — poisoned vectors that look right under cosine similarity but steer downstream generation. EmbedGuard combines embedding-space anomaly scoring with provenance attestation, so an attack has to defeat both layers at once.

Key results: 94.7% detection rate on optimization-based attacks · 51 ms mean latency overhead · evaluated on a 500K-embedding production-scale system · Docker-reproducible benchmarks.


⚡ GenOps — AI-in-CI/CD Governance

Paper DOI Conf42 Talk Abstract Code

A Governance-First Architecture for Embedding Generative AI into CI/CD Pipelines · JISEM, Vol 11(1s), pp 1518–1539 · 2026-02-15 Companion talk: Conf42 DevOps 2026 — invited speaker

A four-pillar framework for running GenAI inside production CI/CD without breaking governance: contextualization, strategic guardrails, deployment assurance, and governance audit trails.

Key results: 55.7% reduction in median deployment cycle time (52.8 → 23.4 min, p < 0.001) · zero safety policy violations · 47.2% reduction in error-budget variance · evaluated across 15,847 deployments / 127 microservices / 8 months / 3 organizations.

GenOps Talk


⚖️ RuntimeGuard-AI — EU AI Act Article 14 Compliance

Paper DOI Code

Scalable Tamper-Evident Accountability for High-Risk AI Systems Under the EU AI Act · JoCAAA, Vol 35 No 1, pp 1074–1090 · 2026-01-31

The first open-source compliance architecture for EU AI Act Article 14. Uses Groth16 zero-knowledge proofs on the bls12-381 curve to deliver cryptographically rigorous, tamper-evident audit trails inside a production latency budget.

Key results: 2.3–4.1% latency overhead · 62 ms witness generation · 1,389 ms total proving time at 50K-constraint scale · first open-source reference implementation for Article 14.


🤝 TriArchitect — Multi-Agent Java Migration (under review)

A Shared-State Multi-Agent Framework for Safe Java Code Migration · submitted to IJIES (INASS treatise #20262024)

A multi-agent framework that coordinates specialized agents through shared state to perform large-scale Java migrations safely.


Technical writing on Medium and LinkedIn — distributed systems, CI/CD, Kafka, Kubernetes, RAG, AI safety, security infrastructure.


Career Timeline

Each chapter built on the last — from writing COBOL adapters to architecting Zero Trust infrastructure.

2025 ──────── PARAFIN ──────────────────────────────────────── present
 Dec          Staff Security Infrastructure Engineer
              ├─ Architecting Zero Trust for an $8B+ fintech platform
              ├─ Partners: Amazon, DoorDash, Walmart, TikTok Shop
              ├─ Security mock drills, incident response, BC/DR, PII governance
              └─ YC-backed, $750M valuation

2024 ──────── META (REALITY LABS) ──────────────────────────── 2025 Dec
 Jun          Staff Software Engineer
              ├─ Led CI/CD modernization (Project Chesterfield) for Quest & Ray-Ban
              ├─ GenAI migration tool: 95% manual effort reduction, $386K/yr savings
              ├─ UBM metadata service: 150M+ req/day, 99.9% reliability
              ├─ Onboarding assistant: 55% oncall reduction, adopted by 3 teams
              └─ Mentored 6 SEs (3 promoted to Staff within 12 months)

2024 ──────── RAYMOND JAMES ────────────────────────────────── 2024 Jun
 Apr          Lead Software Development Engineer
              ├─ Document generation platform: 8K-12K docs/month, 99.2% success
              └─ Established 95% code coverage standard across team of 8

2022 ──────── WAYFAIR ──────────────────────────────────────── 2024 Mar
 Jan          Technical Architect / Principal
              ├─ DevSecOps platform: 50M+ security checks/month
              ├─ Kubernetes policy-as-code engine (3% false positive rate)
              ├─ Unified OAuth 2.0: 125M+ API calls/week, 99.97% uptime
              ├─ Selected as 1 of 3 architects from 50+ for security roadmap
              └─ Mentored 20+ engineers (8 promoted to senior/staff)

2019 ──────── JPMORGAN CHASE ───────────────────────────────── 2021 Dec
 Mar          Senior Software Engineer (CIB)
              ├─ Escrow platform: $40B+ in deposits
              ├─ Saga-pattern payment service: 10K+ daily transactions
              └─ Auth framework adopted by 18+ CIB teams

2011 ──────── AMERICAN EXPRESS (via TCS) ───────────────────── 2019 Mar
 Dec          Systems Engineer → Senior Software Developer
              ├─ Monolith to microservices: 60% code reduction, 66% faster APIs
              ├─ B2B integration: 2M+ monthly requests, 15+ carrier partners
              ├─ Locations: Bangalore → Montevideo → Phoenix
              └─ This is where the journey began 🚀

Honors, Fellowships & Memberships

Recognition Detail
🏅 Aureum Gold Laureate (Season 3) NLP Achievement Award · Aureum International Awards Council · ref. TEC-26-12296 · Press
🛡️ Hackathon Raptors Fellow Fellow #14975 · peer-elected UK CIC fellowship (5-Fellow vote, 4/5) · five-year achievement requirement
🎖️ IICSPA Fellow (FIICSPA) Top 1% of 5,500+ members · peer-reviewed by experts from IBM, Moody's, SAP, JPMC, Goldman Sachs · profile
🔬 Sigma Xi Full Member Scientific Research Honor Society (est. 1886) · 200+ Nobel laureates among members · Full membership requires 2+ refereed publications
IEEE Member (ID 102037294) Institute of Electrical and Electronics Engineers

Open Source Impact

Three community-impact repositories with 100+ stars each. Research repos with their papers are grouped above under Research & Publications.

Comprehensive coding interview solutions & resources

Stars Forks

Used by engineers worldwide who landed roles at top tech companies

System design patterns & implementations

Stars Forks

Distributed-systems primer for staff-level interviews

Curated DS, algorithms & system-design library

Stars Forks

Reference material across topics, regularly maintained

GitHub stats Top Languages

GitHub Streak

Activity Graph

2,235+ total stars across owned repos  ·  605 forks  ·  3 repos with 100+ stars  ·  9 years contributing on GitHub


Impact by Numbers

Metric Scale
🔐 Zero Trust infrastructure $8B+ platform (Parafin)
🛡️ EmbedGuard detection rate 94.7% · 51 ms overhead · 500K embeddings (peer-reviewed)
GenOps deployment-cycle reduction 55.7% · zero safety violations · 15,847 deployments (peer-reviewed)
🤖 GenAI migration automation 95% effort reduction (Meta)
📦 Unified Build Model 150M+ requests/day (Meta)
🛡️ DevSecOps pipeline 50M+ security checks/month (Wayfair)
🔑 Identity platform 125M+ API calls/week · 99.97% uptime (Wayfair)
👨‍🏫 Engineers mentored 50+ across all roles
Open source stars 2,235+ across owned repos · 605 forks · 3 repos with 100+ stars

Technical Arsenal

Languages        Java · Python · Go · TypeScript · Groovy
Frameworks       Spring Boot · FastAPI · Node.js · React
Cloud            AWS · GCP · Kubernetes · Terraform · Docker
Security         Zero Trust · IAM · Policy-as-Code (OPA/Kyverno) · TLS/mTLS · ZK proofs (Groth16)
Data             Kafka · PostgreSQL · Cassandra · Redis · BigQuery
AI/ML            RAG Pipelines · LLM Integration · Prompt Engineering · MCP · AI Safety
DevOps           CI/CD · GitOps · ArgoCD · Datadog · PagerDuty
Patterns         Microservices · Event Sourcing · CQRS · Saga · mTLS

Latest Writing

Article Platform
Prompt Engineering vs Context Engineering vs Reasoning Engineering LinkedIn
From 50 Million Events to a Single Answer: Building a RAG Pipeline Medium / LinkedIn
Battle-Tested Multi-Region Deployment: Scaling Spring Boot Microservices LinkedIn
From ACID to AI: The Ultimate Guide to Modern Databases Medium
The Kubernetes Odyssey: Embark on a Technological Adventure! Medium

Beyond the Code

🐶 Dog Dad        Proud parent of Byte, a mischievous beagle
🎮 Retro Gamer    Still speed-running Contra on NES
✈️ Global Dev     Coded in Bangalore, Montevideo, Phoenix, Tampa, San Francisco
🚴 Trail Explorer System design on two wheels

Let's Connect

LinkedIn Medium YouTube ORCID Website

"The best security is invisible. The best infrastructure is boring. I build both — and publish the research behind making the next generation safe."

Pinned Loading

  1. genops-framework genops-framework Public

    Governance-first architecture for embedding generative AI agents into CI/CD pipelines: risk scoring, autonomy gates, canary rollouts, rollback, and immutable audit trails.

    Python

  2. RuntimeGuard-AI RuntimeGuard-AI Public

    TypeScript

  3. embedguard embedguard Public

    Cross-Layer Detection and Provenance Attestation for Adversarial Embedding Attacks in RAG Systems

    Python

  4. quickbooks-business-network-interview quickbooks-business-network-interview Public

    1

  5. FAANG FAANG Public

    Competitive programming questions.

    Java 1.9k 489

  6. faang-system-design faang-system-design Public

    This project will have System Design Resources

    Java 180 40