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radeshgovind-2005/README.md

Radesh Govind

Software engineer  ·  Lisbon, Portugal
BSc Computer Science & Engineering · ISEL · final year  ·  Jun 2026 · full-time / new grad


Open source  ·  Anthropic ecosystem

modelcontextprotocol/java-sdk  PR #891  merged

Documented the canonical error-handling pattern for MCP tool implementations — reviewed and merged by Anthropic core team.


modelcontextprotocol/servers  PR #3732  in review

Fixed missing fields and malformed required arrays across 4 official MCP reference server tools.


Projects

Guardian  active · kernel

eBPF syscall interceptor for AI processes. Attaches probes to Linux kernel tracepoints to capture every file read, network write, and privilege escalation — nanosecond timestamps, cryptographic event chaining, zero code changes to the monitored model. EU AI Act compliance layer (Art. 12, 13, 15, 17).

eBPF Linux kernel Python gRPC TLS 1.3 EU AI Act

U!REKA Play4Change  final year project

Multiplatform gamified learning platform. RAG pipeline with pgvector for semantic deduplication. Nightly batch generation eliminates cold-start inference latency. Hexagonal arch + transactional Outbox pattern for consistency under unreliable mobile networks. P95/P99 instrumented.

Spring Boot Kotlin Multiplatform pgvector LangChain4j Prometheus Grafana

MCP Systems Controller  agentic infra

MCP server exposing Docker/K8s operations with a mandatory human-in-the-loop approval gate — prevents agentic processes from making unauthorised infrastructure changes.

MCP TypeScript Docker Kubernetes Prometheus

Spring Boot SSE for live state broadcasting. Kotlin Coroutines/Flows under concurrent load. Android and web clients from a single REST API.

Kotlin Jetpack Compose Coroutines React TypeScript


Stack

languagesKotlin  ·  Java  ·  Python  ·  TypeScript  ·  C
backendSpring Boot  ·  Node.js  ·  REST  ·  DDD  ·  Hexagonal Architecture
observabilityPrometheus  ·  Grafana  ·  Micrometer  ·  eBPF
infraDocker  ·  Kubernetes  ·  GitHub Actions  ·  Nginx
dataPostgreSQL  ·  pgvector  ·  MongoDB
AI / agentsMCP  ·  RAG  ·  LangChain4j  ·  LLM APIs

I care about what happens under the hood — kernel boundaries, failure modes, how things behave at scale. Right now that means building a kernel-level AI observability agent with eBPF and shipping a production-instrumented multiplatform platform as my final year project. I contribute to Anthropic's MCP ecosystem because I think that's where the most interesting agentic systems are being designed correctly.


github.com/radeshgovind-2005  ·  linkedin.com/in/radesh-govind  ·  radesh.govind@gmail.com  ·  Lisbon, Portugal

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  1. Viriato-Security/guardian Viriato-Security/guardian Public

    Kernel-level eBPF agent for AI system observability. Captures syscall telemetry from AI model processes and streams signed events to the Viriato compliance platform.

    Python 1

  2. UREKA-Play4Change/play4change-core UREKA-Play4Change/play4change-core Public

    Multiplatform Adaptive Learning Application powered by GenAI

    Kotlin 3

  3. Aegis Aegis Public

    Autonomous Semantic WAF & Agentic SDLC

    TypeScript