May 2022 – Feb 2025 · 2 yrs 9 mos · Hybrid

• Lead architect for the sales and growth pods. Responsible for team wide engineering direction, delivery, and growth initiatives.
• Designed a fully automated IVR workflow that substantially boosted lead conversion rates, enhancing lead conversion by 4%.
• Guided to transition from Zendesk to Freshdesk as the primary escalation ticketing tool for our CRM system, leading to significant cost reductions.
• Utilized Prometheus metrics and Grafana visualization to refine service alerting mechanisms, integrating them with Slack channels.
• Successfully executed multiple large-scale database migrations with strategic rollout plans, ensuring zero business impact.
• Directed database cost optimization: optimized queries, proper indexing, and archived past data, resulted in a cost reduction of 80%-95%.

Apr 2021 – Apr 2022 · 1 yr · Hybrid

• Designed and developed an open-source, config-driven system, eliminating the need for code writing. It streamlined processes, lowered maintenance costs, and improved turnaround time.
• Integrated pre-signed URLs for files hosted on S3, enhancing security and providing fine-grained access control.
• Accomplished the p99 availability SLO of 99.99% for team microservices and 99.999% for all key services.
• Implemented robust PII data masking techniques to safeguard customer privacy, ensuring 100% compliance, data security, and confidentiality.

Mar 2020 – Apr 2021 · 1 yr 1 mo · Hybrid

• Revamped CRM tool - Salesforce integration, eliminating cyclic dependencies, streamlining communication with external teams, and improving error handling. Boosted pre-sales team productivity by 30% and increased application success rate from 84% to 99%.
• Created a multi-tenant discount calculator with configurable rules, facilitating discounts across various catalog systems. Build a self-serve interface for category and sales teams, leading to a ~20% increase in monthly GMV.
• Developed a modularized ML based auto-designer allocation system, improving lead allocation and expediting designer introduction from 2 days to 15 mins, while increasing lead qualification to booking conversion rate by 5%.
• Refactored key Java and Python microservices to handle ~500 RPS with < 200ms p99 latency per Kubernetes pod under stress, without horizontal or vertical scaling, benchmarked using k6.

Jul 2018 – Mar 2020 · 1 yr 8 mos · On-site

Jul 2017 – Jun 2018 · 11 mos · On-site

Jan 2017 – Jun 2017 · 5 mos · On-site

Sep 2017 – Mar 2020 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

• Enhanced application user experience by eliminating redundant backend calls, asynchronous programming, and multithreading, resulting in a 25% reduction in lag time.
• Implemented a client-side caching structure for SOAP/REST calls, resulting in a 40% improvement in application performance.
• Engineered a robust validation framework removing dependencies on both client and server, resulting in a 20% reduction in software defects.
• Refactored the logic that decreased export time for application data to Excel by a factor of 25, from 50 minutes to under 2 minutes, providing substantial time savings for users and the business.