Sep 2025 – Present · 9 mos · Berlin, Germany

Nov 2023 – Sep 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

• Analyzed and resolved an average of 110+ client issues per month, including 40% critical issues and 60% medium issues, all within the SLA.
• Managed bot deployments on production servers, ensuring a smooth deployment process and minimizing downtime for enhanced operational efficiency.
• Identified workarounds for production-impacting scenarios while a bug has been reported to the platform for permanent resolution.
• Utilized OpenSearch logs for Node.js application to debug the bots, AI agents, identify, and troubleshoot issues in the current production deployment, implementing effective fixes that resulted in a significant decrease in customer escalations.
• Effectively communicated with clients to gather new requirements and documented them for the R&D team to implement, resulting in an average of 30% increase in customer satisfaction scores.
• Used JIRA to track and manage client change requests, collaborating with cross-functional teams to assess feasibility and implement changes.

Jun 2023 – Nov 2023 · 5 mos · Bengaluru, Karnataka, India · On-site

• Worked on integration of third-party APIs and services, ensuring seamless interoperability and functionality within the product ecosystem.
• Delivered product training sessions to customers and internal teams, ensuring a deep understanding of product functionality and best practices.
• Played a pivotal role in maintaining a high SLA of 95% or higher by effectively managing global service requests for the Product Support team across the globe. This resulted in a significant reduction of escalations by 30%, ensuring timely and efficient issue resolution for customers worldwide.

Nov 2022 – May 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

• Partnered directly with clients to identify automation opportunities and architect AI agents using open-source tools (LangChain, FastAPI, Hugging Face), delivering tailored workflow automation that reduced manual operations by 40%.
• Built and deployed full-stack AI applications using Python and Node.js, integrating REST APIs, vector databases (FAISS, Pinecone), cloud infrastructure (AWS, Docker), and frontend dashboards for real-time automation control, ensuring scalable, production-grade performance for client use cases.
• Owned end-to-end solution delivery, from requirements gathering to deployment,  implementing CI/CD pipelines, observability, and fine-tuned LLM prompts to enhance accuracy and reliability.

Aug 2022 – Nov 2022 · 3 mos · Bengaluru, Karnataka, India · On-site

• Contributed to building a robust automated KPI tracking system to monitor and compare course learning growth metrics, providing insights into individual progress and enabling data-driven decision-making for personalized learning paths.
• Collaborated with team members to ideate and implement a system that promptly reports regressions or improvements as soon as changes were merged in Git, enabling faster regression detection and resolution.
• Optimized performance by analyzing latency and memory usage, identifying system improvements that enhanced application efficiency and responsiveness.
• Worked on an automated bug filing system for reporting regressions, optimizing workflow efficiency, reducing manual reporting errors, and accelerating issue documentation and resolution

Apr 2022 – Jun 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

• Developed a full-stack e-commerce platform from scratch, working closely with the team using the React, Redux, Node.js, Express, and MongoDB stack, delivering a responsive UI that met business requirements and supported a growing D2C user base.
• Actively participated in agile development, incorporating feedback from managers and other teams to continuously enhance features, resulting in a 30% increase in user satisfaction.
• Collaborated with a team of developers to maintain code quality through reviews and best practices, reducing bugs by 25% and ensuring timely project delivery.