Prabhav Pawar

- Spearheaded the development of next generation strategic initiatives for Public-cloud runtime product, enhancing product services for better customer experience.
- Implemented preventative and detective guardrails to ensure correct Security Posture for Runtime Compute product services using IAAS tools such as Terraform and guarantee adherence to firm guidelines with Security Leads.
- Demonstrated expertise as a Serverless Patterns evangelist for AWS Products, Knative faas patterns, and Containers best practices.
- Organized and conducted campfire sessions and office hours to actively engage with engineers and drive adoption through comprehensive Product Documentation.
- Leveraged AI toolchain to boost Developer productivity, resulting in improved performance and efficiency.

- Orchestrated the development of an Event Driven Architecture using Apache Kafka and Reactive Micro-services for Merchant Services
- Liaised with Business Analysts to analyze requirements and ensure seamless production and consumption of Event Messages
- Secured PCI Complaint Event data by implementing encryption in Cassandra, with key handshake management with Vendors
- Headed the core architecture-engineering team to construct horizontally scalable micro-service architecture using Java Spring/Boot services, based on map/reduce architecture for Digital Payment in merchant services
- Hosted the system in the firm's private cloud/AWS, utilizing Kafka and other event streaming services

- Spearheaded the integration efforts with cross-functional teams to enhance collaboration and efficiency.
- Developed and implemented the Caching Replication Strategy solution utilizing Pivotal Gemfire and Kafka to improve system performance and data reliability.
- Established Site Reliability Engineering (SRE) capabilities for the Application, ensuring enhanced system resilience and stability.

- SPARTA provides portfolio returns at asset level, instrument level and account level based on the underlying market values and transactions. Horizontally scalable Java processes with dynamic “R embedded” calculators, LOB aligned volatile caches and data access layers.
- Developed a framework for creating asset hierarchy based on instrument characteristics, involving design of classes and data structures for dynamic hierarchy model generation and rule application.
- Designed and implemented lead account selection and attribution logic in R, integrating various metrics, portfolio/benchmark returns, and allocation and selection strategies (Brinson & Fachler) for efficient performance.
- Successfully migrated projects to be Spring-Boot enabled and deployed them in cloud environment, addressing security concerns including authentication and monitoring.

- Led the requirement gathering and design phase to ensure a thorough understanding of the project's scope and objectives.
- Analyzed the system architecture and implemented suitable design patterns.
- Successfully achieved the Producer/Consumer architecture through web-service data push invocation.
- Utilized Mule Merge invocation transformers to merge outbound files for both systems. - Published comprehensive design documents during JAD discussions, which were well-received for their quality of delivery.
- Produced end-to-end technical design documents with overall scenarios/swimlanes, effectively streamlining the development effort.
- Completed the integration effort within the scheduled timelines, earning commendation from the leads.

- Conducted analysis of application architecture to identify and communicate design flaws to the client
- Took complete ownership to implement necessary corrective actions, collaborating directly with client business users
- Streamlined user requirements for AOR enhancements across different regions such as London, US, Tokyo, and AEJ
- Modified Data architecture in JBPM and subsequently adjusted Application architecture to resolve design issues, ensuring successful application Go-Live
- Facilitated a timely and bug-free release to production, resulting in a successful Go-Live on the committed date
- Delivered a commendable walk-through/presentation to the entire team, earning appreciation from team leads
- Mentored colleagues to drive further enhancements in the project

- Developed software to process frontal images of subjects and train itself for recognition using SLT neural network architecture, achieving an impressive accuracy of 95% to 97%.
- Implemented edge detection feature for the frontal images of the candidates within the system, enhancing the analysis capability.
- Led the complete design, coding, and development of the neural network framework, resulting in a more efficient and robust system.
- Supervised and mentored a team of two members in analyzing and developing the system, ensuring timely delivery of high-quality output.