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Althaf Shaik

Senior Software Engineer specializing in cloud-scale distributed systems and data platforms

Hyderabad, IndiaSenior Software Engineer4 years experienceSeniorTechnologySaaSCloud Computing
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About

LLM/RAG-focused engineer who repeatedly takes agentic workflows from impressive demos to dependable production using rigorous evals, SLOs, and deep observability. Has led high-impact incident mitigation (22-minute MTTR during a major sale) and developer enablement workshops, and partnered with sales to close a $410k ARR enterprise deal with a tailored RAG pilot (FastAPI/pgvector/Okta/InfoSec-ready).

Experience

Senior Software EngineerDHI ADT Solutions
Software EngineerOutplay
Software EngineerOrakris Med Solutions

Education

New Jersey Institute of Technologymaster, Computer Science
Rajiv Gandhi University of Knowledge Technologiesbachelor, Computer Science and Engineering

Key Strengths

  • Took LLM assistant from prototype to production with explicit SLOs (p95 latency 3.8s -> 1.6s; hallucinations 8% -> <0.8%)
  • Built large-scale evaluation infrastructure (12k-ticket gold set, failure-mode labeling, nightly evals, prompt unit tests)
  • Designed robust RAG architecture with metadata/freshness controls, citations, schema validation, and safety rules engine
  • Strong LLM observability and auditability (end-to-end OpenTelemetry traces with prompts, sources, model versions)
  • Operational excellence in real-time incident response (MTTR 22 minutes during major e-commerce sale; error rate 13% -> <1%)
  • Performance and reliability engineering under peak load (caching, batching, model routing, autoscaling, admission control)
  • Effective enablement via workshops (42 engineers; 95% deployed by end; median time-to-first-query 11 minutes)
  • Sales/solutions partnership that closed enterprise deal ($410k ARR) with measurable pilot outcomes and reusable GTM kit

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Languages

English

Skills

C++C#JavaPython.NET CoreASP.NET CoreEntity Framework Core.NET 8FastAPISpring BootSpring SecurityDjangoAngularJSReactNext.js