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Sulaxmi Raskar
Senior Full-Stack Software Engineer specializing in AI agents and data platforms
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Full-stack and AI-focused builder who has shipped both customer-facing personalization at AT&T and internal LLM-powered automation/agent systems in startup environments. Stands out for combining TypeScript-heavy engineering rigor with practical AI orchestration, evaluation, and measurable business impact—from reducing support escalation through personalization to saving 10-11 hours per week by automating fragmented operational workflows.
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Key Strengths
- End-to-end ownership of personalized support feature
- Full-stack web development with React/Next.js/TypeScript
- Type-safe API/BFF integration
- LLM workflow automation across fragmented business systems
- Agentic architecture with orchestrator and intent-based routing
- Multi-system developer context retrieval across GitHub, Azure DevOps, Confluence, and iTrack
- Production AI evaluation and monitoring with RAGAS, ELK, and Dynatrace
- Pragmatic human-in-the-loop judgment for high-risk decisions
- Measurable product impact: 3 in 5 users engaged with personalized support flows
- Operational efficiency gains: saved 10-11 hours weekly through automation
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