Prashant Bhapkar

Led the AIOps project, delivering automation and AI-driven features:

• Gen-AI models using RAG and LangChain, achieving 99% accuracy in categorizing failed pipeline log data and generating actionable solutions.
• Automated failure resolution and re-triggering, ensuring 99.9% of pipelines with infra errors were auto-recovered without manual intervention.
• Enhanced traceability and debugging of failed pipeline logs, reducing mean time to recovery.
• Developed an AI-powered code review bot for GitLab, leveraging LLMs and custom rules to automate code reviews, improve code quality, and speed up merge request cycles.

Automated Redmine updates to Teams using AI:

• Designed and deployed an intelligent automation that fetches project data from Redmine and summarizes daily updates to Teams channels using LLMs, saving manual reporting effort.

MicroVhil Feature - Automation & Compliance:

• Implemented pre-commit checks for Katapult compliance (Cloc, CPD, PMD, Cppcheck, Lizard, etc.)
• Automated Redmine/Jira integration with GitLab/KAP tools, cutting manual work by 80%.

DevOps & Repository Management:

• Designed and implemented robust CI/CD pipelines for faster, reliable releases.
• Acted as Nexus repository administrator, managing artifacts and ensuring smooth version control.
• Explored and implemented AI-driven tools, including LangChain, RAG, and FAISS, to power automation and smart search.

• Worked on developing and validating next-generation infotainment system features, with a focus on product specification, device management, and diagnostics in the automotive electronics domain.

• ZeroOps Project - Responsible for developing Python script, integrating using pipeline, and testing on a virtual environment. Written 7+ scripts with 90% automation to perform various activities and resolve issues.
• VEW (Virtual Engineering Workspace) - To create a workbench for VEW using AWS. I was responsible as team lead for the creation of a workbench for SW Tester and SW Integration.

• Worked on the idea 'To bring all local businesses and customers online on a single platform'.
• Launched web app and website and onboard 100+ local shop owners and 250+ customers.
• Worked with founders, and mentors and got selected to pitch our idea in Shark Tank India among 62,000 applicants.