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Sandeep Konduru Raju
Available for Summer 2026 internships

Sandeep Konduru Raju

AI Security Engineer & Software Developer

Building prompt-injection defense, zero-trust LLM agents, and behavioural threat detection. 4+ years shipping production systems at Manhattan Associates. Now MSc AI at NCI Dublin.

01.

About Me

I'm a software engineer turned AI security researcher. After 4+ years building warehouse-operations systems at Manhattan Associates — shipping Kotlin/Android, Swift/iOS, and Java microservices that handle millions of daily transactions — I pivoted to focus on making AI systems safe to deploy.

Currently pursuing my MSc in Artificial Intelligence at National College of Ireland, researching prompt injection defense, zero-trust LLM architectures, and stylometric impersonation detection. My approach: treat every input as hostile, verify before trust, and build security into the architecture.

I use Claude, Cursor, and GitHub Copilot daily. I believe in clean architecture, thorough code reviews, and shipping things that don't break in production.

4+

Years experience

10M+

Daily transactions

99.5%

Uptime shipped

02.

Skills & Technologies

Programming Languages

JavaPythonJavaScriptSQLC++

Computer Science

Data Structures & AlgorithmsObject-Oriented DesignComplexity AnalysisOperating SystemsDistributed Systems

Backend & AI

Spring BootSpring MVCHibernateJPAREST APIsMicroservicesFastAPIKafkaRedisGPT-4RAGLangChainVector DBsLLM Security

Databases & Cloud

MySQLPostgreSQLMongoDBAWSDockerKubernetesTerraformCI/CDGitLinuxAgile/Scrum
03.

Things I've Built

ZeroInject Shield

Problem: LLM apps are vulnerable to prompt injection attacks that can leak data or hijack responses.

Approach: Built a 3-model consensus system where each verifier analyzes input independently. Only passes if all agree it's safe.

Impact: Blocks sophisticated injection attempts while maintaining low latency for production use.

PythonFastAPIGroq APIReact

SecureAgent

Problem: Single-model detection has blind spots attackers can exploit.

Approach: Ensemble of 3 different classifiers vote on input safety. Majority rules with configurable thresholds.

Impact: Significantly higher accuracy than single-model approaches with graceful degradation.

PythonFastAPIPydanticLLM Ensemble

WhatsApp Accommodation Monitor

Problem: Dublin rental market moves fast. Good listings disappear in minutes.

Approach: Async scraper monitors 15+ WhatsApp groups, deduplicates listings, sends instant Telegram alerts.

Impact: Helped secure accommodation by being first to respond to new listings.

PythonPlaywrightTelegram Bot APIDocker
04.

Experience

Sep 2021 - Dec 2024

Software Engineer

Manhattan Associates · Bengaluru

Kotlin/Android + Swift/iOS warehouse-operations app used by 2,000+ workers. Java microservices processing 10M+ daily transactions with 99.5% availability.

Rising Star Award Q2 2022Star of the Quarter Q1 2023Spirit Award Q3 2024
Mar 2021 - Jun 2021

Software Development Intern

IC Solutions · Bengaluru

Built consumer-facing e-commerce app with 500+ users featuring auth, payments, and real-time inventory.

Jan 2026 - Dec 2026

MSc Artificial Intelligence

National College of Ireland · Dublin

Researching AI security - prompt injection defense, zero-trust LLM agents, stylometric impersonation detection.

05.

Get In Touch

Open to opportunities. Feel free to reach out.