Aakash Dhawan profile photo 1 on Tal

Aakash Dhawan

QA Automation Team Lead @ Paytm | API Automation | Karate Framework | Java | Python | REST APIs | CI/CD | Microservices | AI & IoT Testing

Noida

4+ years of work experience

Paytm
Jun 20265 mosPresent

Noida

Leading QA automation and release quality for Paytm's IoT payment platform, ensuring reliable backend services powering merchant payment devices. Driving adoption of AI-assisted testing to accelerate automation development and improve engineering productivity. Mentoring QA engineers, defining automation best practices, and improving release readiness across teams. Partnering with Product, Engineering, and DevOps teams to deliver high-quality features in fast-paced release cycles.
Paytm
Jul 20251 yr 1 moJul 2026

Noida

Built and maintained scalable API automation using Karate Framework, Java, and Maven for critical payment workflows. Developed reusable automation utilities and regression suites covering backend services and microservice interactions. Integrated automated regression into CI/CD pipelines, improving release confidence and reducing manual testing effort. Investigated production issues using Kibana and backend logs to accelerate root cause analysis. Identified requirement gaps during feature design, preventing defects before implementation. Collaborated closely with Product Managers and developers to improve system reliability.
Paytm
Aug 20222 yrs 11 mosJun 2025

Noida

Validated REST APIs, backend services, and IoT device communication across distributed microservice architecture. Automated regression scenarios for transaction processing, device onboarding, firmware updates, and configuration management. Tested AWS IoT and Kubernetes-based systems to verify reliable device-to-cloud communication. Designed API test scenarios covering positive, negative, and edge-case validations. Converted production issues into permanent regression tests to improve long-term product stability. Participated in requirement reviews to identify edge cases before development.

Aakash’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
cursor
cursor
elevenlabs
elevenlabs
grok
grok

Education

CHANDIGARH UNIVERSITY

Master of Business Administration, General Studies

CHANDIGARH UNIVERSITY

20232 yrs2025

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

Chandigarh Engg College, Landran

20184 yrs2022

Join Aakash and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Aakash Dhawan on Tal

Headline

QA Automation Team Lead @ Paytm | API Automation | Karate Framework | Java | Python | REST APIs | CI/CD | Microservices | AI & IoT Testing

About

I'm a QA Automation Team Lead with 4+ years of experience building automation for large-scale backend systems, APIs, and IoT platforms at Paytm. I enjoy solving complex quality challenges by combining automation, engineering, and AI to improve release confidence and accelerate delivery. My core expertise includes API Automation, Karate Framework, Java, CI/CD, Microservices, Kubernetes, and AI-driven testing. I enjoy building scalable automation frameworks, identifying edge cases before they reach production, and collaborating closely with engineering and product teams to deliver reliable software. One of the projects I'm most proud of is building an AI-powered automation assistant that uses Jira requirements along with LLMs to generate automation test scenarios, create test scripts, execute them, analyze failures, and assist with bug reporting—significantly reducing manual effort and accelerating the testing lifecycle. I'm passionate about AI, Product Management, and Quality Engineering, and I'm particularly interested in building intelligent testing solutions for FinTech, HealthTech, and AI-driven products. Recently, I've been exploring AI-driven Quality Engineering by building an AI Test Automation Orchestrator that uses LLMs to transform Jira requirements into automation scenarios and executable test scripts. This project reflects my interest in applying AI to improve software testing productivity and release quality. I'm always happy to connect with professionals working on automation, distributed systems, and AI-powered software.

Location

Noida

AI stack

anthropic apis

antigravity

claude code

cursor

elevenlabs

grok

Work experience

QA Automation Team Lead at Paytm, Jun 2026 - Present · 5 mos, Noida, Leading QA automation and release quality for Paytm's IoT payment platform, ensuring reliable backend services powering merchant payment devices. Driving adoption of AI-assisted testing to accelerate automation development and improve engineering productivity. Mentoring QA engineers, defining automation best practices, and improving release readiness across teams. Partnering with Product, Engineering, and DevOps teams to deliver high-quality features in fast-paced release cycles.

Senior Quality Assurance Engineer at Paytm, Jul 2025 - Jul 2026 · 1 yr 1 mo, Noida, Built and maintained scalable API automation using Karate Framework, Java, and Maven for critical payment workflows. Developed reusable automation utilities and regression suites covering backend services and microservice interactions. Integrated automated regression into CI/CD pipelines, improving release confidence and reducing manual testing effort. Investigated production issues using Kibana and backend logs to accelerate root cause analysis. Identified requirement gaps during feature design, preventing defects before implementation. Collaborated closely with Product Managers and developers to improve system reliability.

Quality Assurance Engineer at Paytm, Aug 2022 - Jun 2025 · 2 yrs 11 mos, Noida, Validated REST APIs, backend services, and IoT device communication across distributed microservice architecture. Automated regression scenarios for transaction processing, device onboarding, firmware updates, and configuration management. Tested AWS IoT and Kubernetes-based systems to verify reliable device-to-cloud communication. Designed API test scenarios covering positive, negative, and edge-case validations. Converted production issues into permanent regression tests to improve long-term product stability. Participated in requirement reviews to identify edge cases before development.

Education

Master of Business Administration, General Studies, CHANDIGARH UNIVERSITY

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Chandigarh Engg College, Landran