Pune District, Maharashtra, India
Bringing over a decade of technical expertise, I specialize in enterprise architecture and AI-driven automation. At Amnet Digital, I focused on building transformative solutions to streamline complex business processes. My mission has always been to empower organizations with innovative, scalable systems that align with their strategic goals. By fostering collaboration and delivering secure, reliable platforms, I enable teams to achieve operational excellence and deliver value to stakeholders. At Amnet Digital, I led the development of an AI-powered invoice processing system, leveraging OCR and custom LLMs to significantly enhance accuracy and efficiency. I also spearheaded the creation of an HR automation platform integrating Workday and Oracle HRMS, ensuring high SLA adherence and seamless scalability. By designing secure API frameworks and developing robust microservices, I contributed to the organization’s ability to handle enterprise-scale operations with speed and precision.
AI-Powered Invoice Processing & HR Automation Platform • Architected end-to-end AI-powered invoice processing solution using OCR, OpenAI, and custom LLM models, reducing manual data entry time by 70% and achieving 95%+ accuracy across 10,000+ monthly invoices • Designed and implemented automated HR onboarding system integrating Workday and Oracle HRMS with multi-cloud deployment (AWS/Azure), processing 500+ employee records monthly with 99% SLA adherence • Engineered secure API integration framework with SAP Finance using OAuth2 authentication across Keycloak, OKTA, and IAM platforms, ensuring enterprise-grade security compliance • Developed NodeJS microservices for background processing including real-time onboarding status tracking, database synchronization, email notifications, and invoice validation workflows • Led DevOps implementation with Docker/Kubernetes orchestration, enabling zero-downtime deployments and 40% reduction in infrastructure costs through resource optimization • Created comprehensive system design documentation including workflow diagrams, JSON schemas, and OpenAPI specifications for seamless team collaboration
Java development, microservice, rest API, database, azure, AWS, Spring boot, machine learning.
AI/ML Customer Intelligence & Analytics Platform • Designed ML-powered sentiment analysis system using transformer models (BERT) to process customer feedback data, improving customer satisfaction prediction accuracy by 35% • Architected scalable microservices architecture on AWS supporting 1M+ daily API requests with 99.9% uptime and sub-200ms response times • Implemented data clustering algorithms (K-means++) for customer segmentation, enabling targeted marketing campaigns with 25% higher conversion rates • Led technical demonstrations and proof-of-concepts for C-level executives, securing $2M+ in new business opportunities • Mentored team of 6 engineers on AI/ML best practices, Spring Boot development, and cloud-native design patterns Technologies: Python 3.x, BERT Transformers, AWS (EC2, S3, Lambda, RDS), Java 17, Spring Boot, REST APIs, Oracle DB, Jenkins, Docker
Abbott Healthcare and Genentech - Enterprise Healthcare Solutions • Led development of mission-critical healthcare data processing platform handling 500K+ patient records with HIPAA compliance • Architected microservices-based solution on AWS using Java 17, Spring Boot, and Oracle DB with 99.95% availability • Implemented automated deployment pipelines reducing release cycle time from 2 weeks to 2 days • Drove code quality initiatives achieving 85%+ test coverage and reducing production defects by 60% Technologies: AWS, Java 17, Spring Boot, REST APIs, Oracle DB, ESTIO, Jenkins, JUnit, Tomcat