* Lead developer for a multi cloud (AWS and GCP) data platform, engineered high availability distributed systems using Java and Python, designed complex locking mechanisms with Redis and MySql to resolve race conditions, ensuring strong data consistency (CAP theorem) and system resilience with a Docker-based ecosystem.

* Engineered an asynchronous data processing engine using producer consumer pattern with AWS Kinesis, SQS and Lambda to manage large scale phone recordings, optimizing storage orchestration into S3, Datalake and AWS Glue, resulting $2M annual cost savings through architecture efficiency.

* Delivered “zBot” an AI-Enabled intelligent solution featuring a fine-tuned LLM that increased inquiry-to-lease conversations by ~48%; managed the transition into the AI and Data Platform team by building model serving microservices that automated lead to quality score generation.

* Developed modular Terraform templates to automate the provisioning of AWS EKS clusters, engineered FastAPI microservices that dynamically pull models from S3, automating the lifecycle of real time fraud-detection system.

* Collaborating closely with Engineers, Data Scientists and Product Managers to architect and manage scalable infrastructure services and monitoring tools, implementing comprehensive observability and logging frameworks to enhance platform robustness and developer experience for distributed engineering teams.

• Led Ops initiatives and developed scalable data pipelines (AWS Kinesis, Lambda, S3) to enable data scientists to focus on model building; architected and deployed RESTful API services for expense anomaly detection using Python, Flask, Docker, Jenkins, and AWS.

• Developed new backend REST endpoints to predict anomalous reports generated by business processes using REST, Python, flask, docker and in-house algorithms for both ML and non ML anomalies as well as integrating them with Prometheus, Grafana and ELK Stack for metrics calculation and health monitoring..

Developed new frameworks and API services for dev and production teams of skyscraper - VMware Cloud on AWS for performance enhancement, visualization and management of AWS and Vmware esx hosts using Java, RESTful web services, Spring Boot, selenium, Jenkins and vSphere SDK.

Developed and designed new SDKs, wrappers and tools using Java, Python and REST API to be utilized in CI/CD pipeline to mitigate manual tasks and increase the efficiency and scalability of validation framework being utilized across several teams of VMware before pushing code into production.

Designed and implemented services for model and runtime engine for Oracle Self Service Integration cloud (integration Software As A Service) using Java, Node JS, RESTful web services, HTTP/JSON, OCDL as well as designed CLI commands for DevOps in NodeJS for deployment of components on public cloud.

Explored and analyzed APIs of external applications and Oracle’s internal applications for designing developing the user stories for triggers, actions and package recipes, with consulting product management team, being used by Model and Runtime Engine. Wrote scripts in Node.JS being treated as CLI commands for DevOps teams for deployment of services engine parts into Oracle Public Cloud.

Worked as a backend developer for the team of cloud discovery and OBS services.

Worked with senior architects and engineers for development of the algorithms that can perform anomaly detection, developed test cases for other functionalities.

Worked on OBS, product for BOX, SharePoint and OneDrive and developed client application that can perform encryption, decryption, OAuth and talk with KACS and KMS architecture by calling micro services.