AR

Arjun Rao

Python Backend Developer

Your Development Priorities

Focus areas identified from your assessment — each represents a growth opportunity

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AI Compliance & Security

High Priority

What you bring:

Strong foundation in Python and RAG architecture

Focus here:

Building expertise in PII detection, OWASP LLM vulnerabilities, and enterprise guardrails will position you as a trusted AI engineer. Understanding compliance frameworks transforms you from a builder to a production-ready architect.

Impact:

Essential for deploying AI systems in regulated industries (healthcare, finance, legal)

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Cloud Native & DevOps

High Priority

What you bring:

Solid Docker knowledge and API development skills

Focus here:

Mastering Kubernetes, CI/CD pipelines, and infrastructure-as-code will enable you to ship faster and scale confidently. Cloud-native skills are the bridge between great code and production systems that handle millions of users.

Impact:

Critical for scaling AI applications and reducing deployment friction

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Collaboration & Mentorship

Medium Priority

What you bring:

Strong individual contributor with ownership mindset

Focus here:

Developing your mentorship and cross-functional communication skills will amplify your impact beyond your own code. Great engineers multiply their effectiveness by elevating their entire team.

Impact:

Unlocks senior/lead roles and increases team velocity

Quick Wins - Start Today

Build momentum with these micro-skills. Each takes 10-20 minutes and delivers immediate value.

PII Redaction

15 mins

Docker Best Practices

20 mins

Docker Security Essentials

DevOps Toolkit â€ĸ 15:22

Multi-Stage Builds Explained

Dev.to

Hands-on Exercise

Optimize existing Dockerfile (reduce image size by 50%)

API Rate Limiting

10 mins

Monitoring & Logging

18 mins

Accelerate with Expert-Led Training

Recommended topics based on Arjun's gaps. Request training to help us build targeted programs for your team.

Cloud Native Architecture

Master Kubernetes deployments, service mesh patterns, and cloud-native observability for production AI systems.

✓ Outcome: Deploy AI to production

AI Security & Compliance

Learn PII detection, OWASP LLM vulnerabilities, prompt injection defense, and regulatory compliance frameworks.

✓ Outcome: Build secure AI systems

Advanced RAG Techniques

Implement hybrid search, reranking, query decomposition, and agent-based retrieval for enterprise applications.

✓ Outcome: Production-grade RAG

Observability & Monitoring

Set up distributed tracing, metrics collection, log aggregation, and alerting for AI/ML production systems.

✓ Outcome: Full system visibility

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How it works: Your training request helps us identify skill gaps across your organization. We aggregate requests to design targeted programs and provide L&D with a comprehensive report for RFP planning.