Jun 2023 – Present · 3 yrs · Hyderabad, Telangana, India · On-site

• Highlights:
• Lines of Code: Authored ~120,000 SLOC across Java, Go, and Kotlin microservices.
• Infrastructure Scale: Deployed and managed 450+ Kubernetes pods across 5 clusters.
• Cost Savings: Architected the AWS/GCP migration that yielded $2 million/year in infra savings.
• Throughput & Coverage: Wrote 30,000+ unit and integration tests, driving code coverage from 65% → 92%.
• Work History:
• Architected and deployed horizontally-scalable Java/Spring Boot microservices on Kubernetes, handling 50 million+ daily rides with p99 latency under 100 ms—improved overall throughput by 45%
• Designed and implemented REST & gRPC trip-matching and routing APIs, cutting error rates by 60% and lowering service latency by 40%
• Led a full rewrite of the driver-onboarding frontend with React/Redux, reducing user drop-off by 30% and boosting engagement metrics
• Built real-time ETL pipelines with Kafka, Spark Structured Streaming, and Snowflake to process 200 million+ events/day, delivering sub-second data freshness for analytics
• Migrated monolithic services to an event-driven microservices architecture on AWS/GCP, slashing infrastructure costs by $2 million/year and improving fault isolation
• Spearheaded adoption of GitOps CI/CD (Azure DevOps + ArgoCD), cutting release cycles from weeks to hours and achieving zero-downtime deployments
• Mentored a 12-engineer team on architecture reviews, code quality, and CI/CD best practices—boosted code coverage from 65% to 92% and reduced production incidents by 70%

Mar 2023 – Present · 3 yrs 3 mos · Hyderabad, Telangana, India · Remote

• Co-creating a digital space where computer science is accessible and engaging for all students.

Jun 2021 – Jun 2023 · 2 yrs

• Engineered Python/Java microservices on AKS to process 1.4 million+ daily trade events, reducing reconciliation latency by 70% and saving $1.2 million annually
• Optimized Spark ETL jobs in Databricks, cutting nightly runtimes from 3.5 hours to 35 minutes
• Implemented data-quality frameworks with Great Expectations and established Azure Purview lineage—achieved 100% audit compliance
• Built GitOps-driven CI/CD pipelines (Azure DevOps + ArgoCD), eliminating rollbacks and standardizing deployments
• Partnered with quant research teams to design real-time data-ingestion APIs for analytics workflows
• Provided technical mentorship on microservices architecture, cloud deployment, and data-engineering best practices

Jul 2020 – Jun 2021 · 11 mos

• Developed streaming risk-analytics solutions with Python, Azure Event Hubs, and Spark Streaming to process $15 billion in exposures in real time
• Automated compliance reporting via Databricks & Azure Data Lake, reducing batch windows by 80%
• Optimized FastAPI/Redis backend services to sustain 10,000 TPS with consistent sub-100 ms latency
• Integrated Azure Monitor & Application Insights, cutting mean time to recovery to 10 minutes
• Collaborated with risk teams to ensure system resiliency and data integrity in high-stakes environments
• Championed Agile practices and code reviews, elevating software quality and delivery velocity

Apr 2018 – Jun 2020 · 2 yrs 2 mos

• Migrated a monolithic Java app into modular Python FastAPI microservices on AWS ECS & Azure AKS, reducing infra spend by 25% and release cycle time by 40%
• Engineered Kafka ingestion pipelines processing 250 million+ daily events into Azure Data Lake & DynamoDB, enabling sub-second personalization at scale
• Designed secure DynamoDB & Data Lake stores with encryption-at-rest/in-transit and integrated automated anti-malware scanning for compliance
• Developed Terraform modules for hybrid-cloud provisioning (AWS, Azure, GCP), cutting environment build time by 80%
• Built pytest-based CI/CD pipelines (95% coverage) via GitHub Actions, slashing post-release defects by 60%
• Integrated SageMaker Feature Store into data workflows, accelerating ML training by 50%
• Containerized services with Docker & Kubernetes (EKS/AKS), reducing deployment failures by 70%
• Implemented IAM policies and RBAC controls across AWS/Azure microservices to enforce least-privilege access

Aug 2015 – Mar 2018 · 2 yrs 7 mos

• Led development of C++/C firmware modules for Azure IoT Hub integration, ingesting telemetry from 30 million+ devices with PKI-based authentication and AES encryption—reduced warranty costs by 18%
• Architected Azure Cosmos DB NoSQL schemas to handle 5 TB/month of telemetry at sub-50 ms query latency with automatic horizontal scaling
• Built Python ETL pipelines to load IoT data into Azure Data Lake with automated malware scanning and data-validation, ensuring 100% data integrity
• Containerized microservices with Docker & AKS, eliminating environment drift and accelerating release cadence by 50%
• Implemented Azure DevOps CI/CD with SonarQube static analysis, dependency scanning, and pytest integration tests—reduced regression defects by 35%
• Integrated Azure Sentinel for real-time IDS/IPS and EDR alerts, cutting mean time to detection by 60% and proactively mitigating security incidents
• Collaborated with hardware teams to optimize device bootloader in C, improving boot time by 20% and reducing firmware footprint by 30%