Leading the integration of Generative AI and LangChain into the tagging feature to improve execution and accuracy

Created a feedback mechanism that increased the accuracy of the tagging feature by 30%, significantly reducing false positive

Elevated stakeholder satisfaction by delivering regular updates and swiftly implementing 90% of feedback within two cycles.

Developed a tagging feature in Python, crafting an API for seamless UI and Azure Data Factory integration. Reduced process timefrom 24-48 hours to just 5-10 minutes.

Deployed an advanced caching mechanism that improved code execution speed by approximately 90%.

Managed Azure DevOps boards, leading to a 20% increase in on-time project delivery and boosted adherence to schedules.

Leveraged Docker with Azure Container Instances to roughly improve deployment efficiency by 40%.

Redesigned UI screens, streamlining navigation and improving visual appeal, with 100% user approval and noticeable reduction innavigation time.

Collaborated with stakeholders through 3 feedback cycles, incorporating 85% of suggestions to ensure project alignment with userexpectations.

Designed and developed the current deployed website of the company along with a template for an E-commerce site.

B.Tech, Electronics and Communications Engineering - 8.54 CGPA

XII - 94.6%

X - 10 CGPA