Vinay Kumar Pativada
Hyderabad
Summary
GenAI & Python Automation Engineer with 5+ years of experience in building intelligent automation systems, API validation frameworks, and scalable test platforms. Strong background in Python, backend systems, cloud (AWS), and CI/CD, now applied toward LLM-powered applications, RAG pipelines, AI-driven testing, and agent-based automation. Experienced in prompt-driven workflows, AI-assisted validation, API intelligence, and automation frameworks that closely align with GenAI Engineer and Applied AI roles. Adept at bridging traditional software systems with modern LLM-based intelligence.
Overview
7
7
years of professional experience
Work History
Python Automation & GenAI Engineer
TCS
Hyderabad
09.2024 - Current
- Designed Python-based intelligent automation frameworks adaptable for LLM-assisted test generation and validation
- Worked on AI-readiness testing for large-scale systems, validating APIs and workflows used by AI-driven applications
- Implemented data-driven test strategies that can be leveraged for RAG context validation and prompt-output evaluation
- Assisted in designing AI-assisted defect analysis workflows, enabling faster root-cause identification
- Integrated Jenkins CI/CD pipelines for automated execution of intelligent test suites
- Performed backend API validation, crucial for LLM orchestration layers and agent pipelines
- Actively involved in understanding end-to-end system workflows, a key requirement for RAG and Agentic AI systems
- Collaborated with cross-functional teams to ensure reliability, scalability, and observability of AI-ready systems
- Client: AMD | Project Focus: AI-assisted automation, intelligent validation frameworks, and scalable backend test systems aligned with LLM-powered applications.
- Tech Stack: Python, Selenium, Robot Framework, REST APIs, Jenkins, Git, AWS, Jira
Software Engineer
ASUUKI Pvt Ltd
Hyderabad
06.2023 - 04.2024
- Worked on data-intensive enterprise systems, preparing backend workflows suitable for LLM-based decision support
- Designed and automated API validation frameworks, which can be extended for RAG-based data retrieval systems
- Contributed to intelligent test data generation, aligning with LLM-driven scenario simulation
- Analyzed backend failures and logs, relevant for LLM observability and AI output debugging
- Validated context-heavy workflows, directly applicable to prompt grounding and hallucination control
- Participated in User Acceptance Testing (UAT), aligning test outcomes with business expectations—critical for GenAI output evaluation
- Supported future-ready architecture for integrating AI-driven modules into enterprise healthcare systems
- Client: Infosys | Project: HIMS (Hospital Information Management System)
- Tech Stack: Python, PyTest, Robot Framework, REST APIs, Git, Jira
Lead Engineer
HCL Technologies
Bangalore
11.2021 - 03.2023
- Designed scalable automation architecture using Page Object Model
- Used PyTest fixtures for data-driven automation, a core skill for RAG evaluation
- Led automation strategy and mentored teams
- Integrated CI/CD pipelines, enabling intelligent test execution
- Strong exposure to business rules & system intelligence, key for agentic AI systems
- Client: Caterpillar | Project: Device / Stock Management
- Tech Stack: Python, PyTest, Selenium, Jenkins, Git, AWS
Software Engineer
SkillanTech Pvt Ltd
Hyderabad
06.2020 - 08.2021
- Built Python APIs and backend automation
- Developed predictive models for AI/ML-based features
- Worked on data handling, simulations, and rule-based intelligence
- Created automated test modules for validating APIs and backend logic
- Client: Hilti | Project: Hilti Profis Façade
- Tech Stack: Python, MySQL, UnitTest, REST APIs
Software Engineer
Orient Technologies Pvt Ltd
Hyderabad
02.2019 - 02.2020
- Built Python-based automation for UI & APIs
- Worked with logs, test reports, and system diagnostics
- Strong base in automation engineering, now evolved into AI automation
- Client: Sonata Software | Project: cDVR Automation
Education
B.Tech - Electronics & Communication Engineering
JNTU Kakinada University
Andhra PradeshSkills
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval Augmented Generation
- Context grounding
- Hallucination reduction
- AI-assisted testing
- Validation workflows
- Intelligent agents
- Python
- PyTest
- UnitTest
- Robot Framework
- REST API automation
- Selenium WebDriver
- AI Automation Tooling
- AI-assisted log analysis
- Defect classification
- Automated test data generation
- CI/CD integration
- AWS EC2
- Jenkins
- Git
- GitHub
- Bitbucket
- Linux environments
- MySQL
Custom Section
Generative AI & LLM Concepts, Large Language Models (LLMs) – architecture & usage, Prompt Engineering (Zero-shot, Few-shot, System prompts), Retrieval Augmented Generation (RAG) – concepts & pipelines, Context grounding & hallucination reduction, AI-assisted testing & validation workflows, Intelligent agents (task-based automation using LLMs), Python (Advanced) – automation, APIs, AI workflows, PyTest, UnitTest, Robot Framework, REST API automation & validation, Selenium WebDriver (Python), Python + Requests for LLM/API orchestration, AI-assisted log analysis & defect classification, Automated test data generation using intelligent rules, CI/CD integration for AI-based test pipelines, AWS EC2 (setup, deployment, automation), Jenkins (CI pipelines for automated & AI workflows), Git, GitHub, Bitbucket, Linux environments, MySQL – validation, backend testing, API verification
Languages
English
Proficient
C2
Timeline
Python Automation & GenAI Engineer
TCS
09.2024 - Current
Software Engineer
ASUUKI Pvt Ltd
06.2023 - 04.2024
Lead Engineer
HCL Technologies
11.2021 - 03.2023
Software Engineer
SkillanTech Pvt Ltd
06.2020 - 08.2021
Software Engineer
Orient Technologies Pvt Ltd
02.2019 - 02.2020
B.Tech - Electronics & Communication Engineering
JNTU Kakinada University