Software Development Engineer

Shawave Technologies

• Built a HIPAA-compliant data pipeline using Python and PostgreSQL, containerized with Docker and Apptainer. Streamlined the ingestion of over 30GB of unstructured EHR data, reducing processing time by 60%.
• Architected a modular multi-agent AI in Python, that decomposes complex healthcare queries across specialized LLMs, improving factual accuracy by 70% through targeted task specialization and staged processing.
• Employed Apache Kafka to orchestrate asynchronous message flows between multi-agent LLM-architecture, eliminating sequential bottlenecks and reducing request queuing by 70% through parallel processing streams.
• Engineered a Golang and Angular-based tool for healthcare professionals, streamlining dataset validation, improving dataset accuracy by 30%, leading to higher-quality training data and improved model performance.
• Leveraged Goroutines and Channels in Golang to enable concurrent, asynchronous large-scale data uploads for ML engineers, achieving 5x faster processing and reducing upload latency by 60%.
• Enhanced healthcare domain chatbots by fine-tuning and developing Retrieval-Augmented Generation systems, increasing the accuracy and relevance of Llama, GPT by 30%, ensuring more up-to-date and precise responses

Software Engineer (Mobile, Integrations)

Optimum Solutions

EMR Cluster Controller

• Led the complete SDLC of a high-impact Big Data Solution that ensures secure interaction with Amazon EMR clusters and Big Data Engineers, enabling seamless submission and execution of Big Data jobs, improving the operational efficiency by 90%.
• Engineered critical features, including User Authentication, Lineage, and REST API endpoints for EMR cluster management tasks such as creation, repaving, Spark job execution, and Livy sessions, by developing a Terraform codebase to deploy AWS Lambda functions and other services, leading to a 70% improvement in system reliability and a 40% reduction in issue resolution time.
• Integrated Jenkins with the EMR Controller using Groovy scripts and SNS/SQS mechanisms to provide customers without IDAuth tokens additional methods for interacting with EMR clusters. This resulted in a 10% increase in customer engagement.
• Developed Grafana dashboards and housekeeping utilities, monitoring various actions and resources consumed by AWS services to help track, oversee unutilized idle resources thereby potentially reducing the clients' costs on EMR infrastructure by up to $100,000.
• Provided comprehensive support for enabling the product across multiple AWS regions by configuring terraform codebase, S3, lambda functions, Jenkins deployments, aiming to improve availability, which contributed to a 20% increase in customer count.
• As the Scrum Master and Release Manager, administered the implementation of a Continuous Integration and Continuous Delivery model in a robust Agile setting with blue-green deployments, resulting in the accelerated delivery of 30 features at a 10% increased speed making the process of migration between different versions easier for customers.

Infolink Decommission

• Migrated high-impact monolithic architecture processing Swift MT messages (including versions 202, 304.) to microservices using Spring Boot, Docker, and Kubernetes, achieving transaction processing of 2 million per second.
• Designed and implemented GraphQL APIs to unify data access across 10+ distinct microservices, significantly reducing payload size by 40% for complex Swift message queries and decreasing response time by 25%.
• Containerized 10+ Spring Microservices using Docker on Kubernetes Clusters, increasing availability by 50% for fast-paced transactions involving Swift MT messages and reducing update patch time by 40%.
• Bolstered Production Parallel Testing workflows for Swift MT message processing using Apache Kafka, automating testing and reducing human intervention by 95%, while ensuring compliance with financial messaging standards.

AI trainer (Prompt-Response)

Scale AI

• Conceptualized and designed a Full Stack Mobile Application utilizing Flutter for the front-end AWS lambdas for the RESTful APIs and DynamoDB for the data storage. Achieved a notable 55% enhancement in the User Experience and Onboarding process.
• Executed different upgrades and features, like boosting Security, Database Model Designs, UI upgrades, and features like Geo- tracking, Notifications, and Google Maps Integration for the mobile application thereby automating 90% of the manual tasks and reducing the cost to the company by almost 95%

Microsoft Certified- Azure AI Fundamentals

Microsoft Azure

Cisco Certified Devnet Associate

Cisco