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Sonu Khobragade

SDET · Performance · Automation · AI Quality

I build the systems that test your systems.

I've spent twelve years on the parts of quality that don't fit a test case: work too repetitive for a human to keep doing, AI with no single correct answer, and traffic you only get one shot at.

Experience
12 years
Specialisms
Performance engineering · AI quality · Automation
Scale
~1M RPM validated · 25+ engineer org led
Location
Bengaluru — open to relocation
Explore my work ↓Relocation & work authorisation ↓

experience

12 years

  1. AskMyGuru

    09/2025 — Present

    Bengaluru, India

    Current

    Senior SDET, Automation and Performance

    Seed-stage AI startup

    Test design per feature
    1–1.5d → 3–4h
    API coverage in 2 months
    0 → ~1,000 tests
    Mobile regression
    ~3d → ~1d
    • Built a Python and DeepEval evaluation framework for an AI chatbot, using Anthropic Claude as an LLM judge to validate factual accuracy, hallucinations, grounding, relevance and contextual consistency — surfacing grounding and factual-accuracy failures that functional testing did not catch.
    • Built an internal test-case generation framework from PRD/Notion and Figma inputs, later extended with HLD/LLD context, reducing test-case preparation from ~1–1.5 days to ~3–4 hours including human review.
    • Built a human-in-the-loop AI support agent using BM25 retrieval and the Anthropic Claude SDK over 890 historical support replies, grounding draft responses in SOPs before agent review.
    • Built a Python, pytest and Appium mobile automation framework for critical payment, subscription and chat journeys, reducing regression time from ~3 days to ~1 day.
    • Built API automation across backend services for P0/P1 and end-to-end business flows, scaling coverage from 0 to ~1,000 tests within 2 months.
    • Owned performance testing across backend services, using Prometheus and Grafana to monitor latency, throughput, errors and service behaviour under load.
    • Python
    • DeepEval
    • Anthropic Claude SDK
    • pytest
    • Appium
    • Prometheus
    • Grafana

  2. Mobile Premier League

    11/2018 — 09/2025

    Bengaluru, India

    Senior Manager, Automation and Performance

    SDET Lead → SDET Manager → Performance SDE Manager → Senior Manager

    Peak Fantasy traffic validated
    ~1M RPM
    QA organisation led
    25+ engineers
    Automated tests
    ~200 → ~2,000
    • Led a 25+ member QA organisation across Automation, Performance Engineering, Games and Product QA.
    • Owned Fantasy and Payments performance readiness for IPL and other peak events, validating up to ~1M RPM overall Fantasy traffic and up to ~60 payment TPS.
    • Drove performance validation for the AWS-to-GCP migration, covering load testing and database latency investigations.
    • Ran chaos testing on GKE using Chaos Mesh, covering pod kill/failure scenarios and HTTP latency/error injection.
    • Scaled automation from ~200–250 to nearly 2,000 tests, helping shorten the release cycle from ~3 weeks to ~2.5 weeks.
    • Performance-tested the SQS/SNS-to-Confluent Kafka migration, benchmarking broker/node behaviour and cluster capacity under load.
    • Benchmarked G1GC vs ZGC on Java 8/17, comparing GC pauses, throughput and CPU/memory usage under load.
    • Validated EC2-to-EKS/Kubernetes migration performance by benchmarking latency, CPU and memory utilisation under load.
    • Developed backend automated tests using Java and RestAssured for REST APIs and gRPC service-to-service flows not exposed through client-facing APIs.
    • Java
    • Python
    • Locust
    • Kubernetes
    • Chaos Mesh
    • Kafka
    • RestAssured
    • Appium
    • AWS
    • GCP

  3. Bookshare · RnR Datalex · BizSense Solutions

    2014 — 2018

    US contract / India

    QA and Automation Engineer

    • Built Selenium and Java regression tests for a US accessibility platform using Page Object Model, TestNG, Maven and Jenkins.
    • Performed functional and automation testing across ERP, e-commerce, healthcare procurement and B2B trading products for US and Dubai clients.
    • Selenium
    • Java
    • TestNG
    • Maven
    • Jenkins

stack

MPL
Mobile Premier League
AMG
AskMyGuru
EARLY
2014—2018

Performance & Reliability

Peak-event readiness, capacity validation and failure injection for systems that cannot be rehearsed in production.

AI / LLM Quality

Evaluating systems whose output is different every time, where a passing functional test proves very little.

Test Automation

Frameworks built to remove regression effort, not to inflate a test count.

Cloud, Containers & CI/CD

Where the systems under test actually run, and what changes when they migrate.

Observability

Reading what a system is telling you under load, rather than guessing from a test report.

Data, Messaging & Caching

The stateful parts that usually decide where a load test actually breaks.

  • PostgreSQLMPL
  • Confluent KafkaMPL
  • SQS / SNSMPL
  • Redis / ElastiCacheMPL
  • ZookeeperMPL
  • MetabaseMPL

case-studies

3 written

Each one is written as an engineering piece: the problem, the architecture, why each significant decision was made, and what changed, measured the same way before and after.

All case studies →

relocation

Work authorisation

Open to relocation

Looking for roles in EU · UK · UAE · APAC · Canada

Based in
Bengaluru, India
Languages

English — C2

Hindi — Native

Marathi — Native

EU Blue Card
Eligible on both routes — B.E. Computer Science and 12 years of professional experience, against a 5-year alternative threshold.
Degree recognition
Awarded by Rashtrasant Tukadoji Maharaj Nagpur University, listed in Germany's anabin database with institution status H+ (recognised higher education institution).
Netherlands
Highly Skilled Migrant route via a recognised sponsor employer.
Denmark & Norway
Outside the Blue Card scheme — national skilled-worker routes apply (Denmark opted out; Norway is not an EU member).