Sreedhar M B

  1. Jul 2024
    to Present

    Chief Technology Officer

    • Lead 20+ engineers across platform, AI & data, DevOps, QA and IT through 2 engineering managers and 5 tech leads; work directly with the CEO on technology strategy.
    • Cut cloud cost by 30% by automating GKE node and workload right-sizing with CAST AI, adopting committed-use discounts and moving stateless services to Cloud Run.
    • Shipped LLM-powered products to Fortune 500 customers: an AI simulation engine, LLM-driven simulation authoring, personalised learning paths and voice-based AI roleplay (streaming STT → LLM → TTS).
    • Drove company-wide AI adoption: marketing now maintains the company website with AI coding tools, cutting update time from 5 days to 5 hours.
    • Built internal AI skills and agents, including brand-compliant slide-deck generation and a compliance guidance agent, saving ~60 hours per week.
    • Set up the AI engineering practice: RAG pipelines (LlamaIndex, vector database), prompt standards, and quality checks with human review and A/B tests.
    • Led SOC 2 Type II, ISO 27001 and GDPR compliance end to end; now leading ISO/IEC 42001 (AI management system) certification.
    • Halved release cycle time by rebuilding the quality pipeline around automated testing, and rolled out Grafana/Prometheus observability, cutting incident response time by 40%.

  2. Nov 2022
    to Jul 2024

    Director of Engineering

    • Grew engineering from 12 to 20+ engineers with 95% retention; introduced architecture reviews and engineering standards.
    • Introduced vector database infrastructure, model evaluation pipelines and AI-aware delivery processes, enabling the company’s first LLM product launches in 2024.

  3. Apr 2020
    to Nov 2022

    Engineering Manager

    • Managed 12 engineers delivering analytics and simulation products; ran hiring; introduced SonarQube-based code quality gates and Scrum.

  4. Feb 2018
    to Apr 2020

    Development Manager

    • Proposed and built the central data analytics platform from scratch on a low budget (Kinesis Firehose, S3, Lambda, SQS, Airflow, PySpark, Postgres, Hasura GraphQL). It now powers customer-facing talent analytics.

  5. Apr 2015
    to Jan 2018

    Team Lead

    • Led delivery of simulation products; built shared microservices (email, file upload, HTML-to-PDF) and moved the team from SVN to Git.

  6. Jun 2013
    to Apr 2015

    Software Engineer

    • Built early simulation products: mathematical models of behavioural frameworks, canvas-based storytelling and gamification.

  7. 2008 to 2013

    Education

    M.S. (Integrated) Software Engineering, VIT University, Vellore