VIJAYAN BALAKRISHNAN
Lead Python EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Python Engineer with 10+ years in Scalable Solutions & Application Support
15+ years of overall experience with strong focus on Python Development and Application Support. Currently working in Walmart Global Tech India, specializing in designing, developing, and supporting scalable Python-based solutions for supply chain systems. Proven expertise in building automation tools, backend services, and AI-driven applications using Python, improving operational efficiency and reducing manual effort. Strong experience in production support, incident management, and root cause analysis ensuring SLA compliance. Actively involved in the implementation of AI-driven use cases within the supply chain domain – improving operational efficiency, reducing costs, and supporting data-driven decision-making, while ensuring seamless collaboration between business and technology teams.
Anna University
Bachelor of Technology (B.Tech) · Information Technology
August 1, 2009 – June 30, 2009
Walmart Global Tech India
Senior Technology Services Engineer
May 1, 2020 – Present
India
Cognizant Technology Solutions
Associate
March 1, 2016 – May 1, 2020
India
HCL Technologies Ltd
Lead Engineer
October 1, 2013 – February 1, 2016
India
Flexorbits Web Solution Pvt Ltd
Software Engineer
July 1, 2010 – March 1, 2013
India
Received multiple appreciations from clients, leaders, and business stakeholders for delivering high-quality work on time.
Unknown
June 1, 2026 – Present
Completed various AI-related courses on Gen AI, LLMs, LangChain, and AI frameworks.
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Walmart Global Tech India, a large global corporation, suggests an ability to work within structured environments and collaborate across diverse teams. The focus on improving operational efficiency and reducing manual intervention aligns with a results-oriented culture. The involvement in AI-driven use cases indicates an openness to innovation and continuous improvement, which is a positive cultural indicator. The breadth of skills and tools used also suggests adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through incident resolution and root cause analysis, and a proactive approach to learning new technologies (AI-driven approaches). The ability to collaborate with engineering teams and deliver high-quality work on time indicates good operational fit. The self-learning aspect for AI technologies shows initiative and adaptability.