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Experience

Analytics, then machine learning, then architecture.

Eight years, six organisations, three clouds. Every role here is one where something went to production and stayed there.

  1. AI Architect

    Mar 2026 — Present

    L&T Technology Services · client: Holland America Group · Hyderabad / Pune · Remote

    Architecting generative AI capability for a global travel and hospitality group — solution design, platform architecture and the guardrails that let LLM features go to production.

    Solution ArchitectureLLMArchitectural DesignIT Service Management

  2. Lead GenAI Engineer

    May 2025 — Feb 2026

    TechStar Group · client: CBRE Asia Pacific · Hyderabad · On-site

    Led generative AI engineering for the Asia Pacific arm of a global real estate services firm — owning delivery of GenAI features from architecture through deployment.

    Generative AIRAGTeam LeadershipCloud

  3. Senior Data Scientist

    Nov 2023 — Feb 2025

    TVS Motor Company · Bangalore · Full-time

    Senior data science across manufacturing and commercial problems at one of India’s largest two-wheeler manufacturers.

    Machine LearningForecastingSaaSAnalytics

  4. Data Scientist

    Nov 2021 — Feb 2025

    Scienaptic AI · Remote · Full-time

    Credit decisioning and risk modelling on an AI-powered underwriting platform, working with lenders on model performance and explainability.

    Credit RiskMLExplainabilityPython

  5. Data Scientist

    Nov 2021 — Oct 2023

    Cisco · Bengaluru · Remote

    Data science on networking and services data — NLP, modelling and analytics feeding product and support decisions.

    NLPMachine LearningAnalyticsCloud

  6. Data Analyst

    Jul 2018 — Nov 2021

    Amazon · Hyderabad · On-site

    Where the eight years started — operations and business analytics at Amazon, learning to work with data at a scale where mistakes are expensive.

    SQLAnalyticsOperationsReporting

Alongside all of it

House of Data

Founder, CEO & Lead Trainer · Dilsukhnagar, Hyderabad

An AI edtech company built around one belief: almost nobody teaches production-grade AI. Courses stop at the notebook and skip RCA, real bug fixing, sprint planning and the software lifecycle. House of Data does not.

  • 100+ days of live training, 300+ hours of practicals
  • Two ML and two GenAI projects per cohort, deployed with MLOps
  • 15 engineers per batch, conditional job assurance
  • 5-star Google rating across 47 reviews

Got an LLM system that works in the demo?

That is the easy part. Bring the architecture and we will find what breaks first.

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