Prashant Bhapkar

Co-Founder

Pune, Maharashtra, India3 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 99% accuracy in CI/CD pipeline automation.
Reduced manual DevOps work by 80% using AI.
Developed AI-powered SDLC for seamless software delivery.

Stackforce AI infers this person is a SaaS DevSecOps Engineer with a strong focus on AI-driven automation.

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Skills

Core Skills

DevsecopsGenerative AiEntrepreneurship

Other Skills

Python (Programming Language)MicroservicesKubernetesAmazon Web Services (AWS)GitlabPostmanPostgreSQLDockerAutomationObfuscationNexusFlaskJenkinsJiraFOTA

About

I’m a DevSecOps Engineer and GenAI Architect who turns slow, manual engineering work into smart, automated systems powered by AI - helping teams work faster, with fewer mistakes. At KPIT Technologies, I’ve led projects that: - Developed a platform that provides end-to-end RCA and an AI-generated solution with 95% accuracy - Solved 99.9% of infrastructure issues automatically - Reduced manual DevOps work by 80% Using AI tools like LangChain and GenAI, I build: - Pipelines that heal themselves - Automated SDLC using AI that helps developers, scrum masters, and PM - Dashboards that track and analyze microservices But my passion goes beyond just building tools. I actively research and explore emerging technologies, sharing insights on tech, personal finance, and growth. I enjoy breaking down complex topics into simple, actionable ideas. Outside of work, I: - Read books and share my learnings, action steps, failures, and success stories - Speak at events and forums about AI, automation, and engineering best practices - Love to discuss well-researched topics on personal finance and career growth I’ve been recognized with innovation awards and invited to speak about my ideas. But more than talking, I love building. If you want to: - Bring AI into your DevSecOps process - Explore agentic workflows for your team - Save up to 80% of engineering time with automation …or simply exchange ideas on tech, finance, and growth, let’s connect and shape the future of engineering together.

Experience

Kpit

3 roles

Technical Lead

Promoted

Oct 2025 – Present · 5 mos · Pune District, Maharashtra, India · Hybrid

Python (Programming Language)MicroservicesKubernetesGenerative AIAmazon Web Services (AWS)Gitlab+8

Senior Software Engineer

Promoted

Oct 2023 – Oct 2025 · 2 yrs · Pune District, Maharashtra, India · Hybrid

1) Leadership & AIOps Automation:
→ Led end-to-end AIOps initiatives using Gen-AI (RAG, LangChain) to classify and auto-heal failed CI/CD pipelines (GitLab, Jenkins), achieving 99% accuracy in issue categorization and automated recovery from infrastructure failures.
→ Automated 80% of manual DevOps tasks by integrating Jira and GitLab for seamless ticketing, reporting, and engineering workflow management.
2) AI-Infusion SDLC Automation
→ Architected and drove development of an AI-powered system that automates the full software delivery lifecycle (SDLC).
→ Automatically generates user stories/features from Jira requirements.
→ Writes/debugs code, applies pre-commit/static checks, updates Jira progress.
→ Generates unit tests, triggers deployment and validation agents, and pushes releases to dev/test.
→ Developed a Jira-based roadmap platform for rapid, traceable, and high-quality software delivery with minimal manual intervention.
3) Central Project Dashboard
→ Designed and maintained a centralized dashboard to monitor: Deployments (Argo Rollouts),
→ Microservice performance, Role-Based Access Control (RBAC), Test Case Analytics, Health Checks, and Statistics across all modules.
4) Team Productivity & Internal Automation
Built and led internal tool development including:
→ Daily Team Reports Agent: Auto-fetches and summarizes real-time Jira and Git data for daily sprint reports, highlighting progress, next steps, and blockers for each team/member - reducing daily sync-up time
→ GitLab Merge Request AI Bot: Delivers instant, AI-driven code reviews (on /ai-bot), combining LLM analysis with static rules for actionable, file-specific feedback and faster, higher quality reviews.
→ LLM-powered auto-documentation: Automatically generates Markdown docs, deploys via CI/CD to MkDocs, and hosts on Kubernetes, cutting manual documentation by 95%.
→ Pre-commit compliance checks: Enforced Katapult and code quality standards using tools like Cloc, CPD, PMD, Lizard, etc.