Technology Leader

Lead AI/ML engineer building Serverless Intelligent Document Processing (IDP) Platform, production LLM systems, and multi-agent pipelines for healthcare operations at scale.

• •Architected end-to-end serverless OCR document processing platform on AWS leveraging Lambda, Step Functions, EventBridge, and Textract to automate enrollment data extraction from healthcare PDFs
• •Designed asynchronous multi-document processing, PDF boundary detection, and parallel execution; validated extracted data against ground truth datasets achieving 96% accuracy.
• •Implemented multi-stage document transformation: PDF ingestion via email (AWS SES) → Textract OCR processing → image conversion → Claude Sonnet 3.7 entity extraction → Pydantic schema-based structuring → CSV template output with validation; integrated IaC (Terraform, CloudFormation) for reproducible drift-free environments across all deployment stages.
• •Automated deployment via GitLab CI/CD pipelines with Docker Containerization and AWS ECR registry integration.
• •Designed event-driven data persistence architecture using S3 for document storage, DynamoDB for metadata and audit logging, and VPC security endpoints for network isolation.
• •Built real-time event streaming pipeline publishing granular events at each transformation stage to Confluent Cloud Kafka topics, synced to Snowflake for analytics visibility and compliance reporting; managed 1000+ daily document operations with production-grade reliability and observability.
• •Implemented RAG framework using hierarchical document chunking strategies, AWS Titan embedding model to generate vector embeddings from chunked segments, and AWS OpenSearch vector database for persistent semantic storage and similarity-based retrieval; enabled intelligent contextual understanding for multi-agent workflows.
• •Evolved platform from single-purpose enrollment processing to multi-agent (document classification, entity extraction & validation), object orchestration system using AWS Bedrock Knowledge Base with RAG semantic search capabilities; extended capabilities to hospital bills, claims processing, and general document workflows with vector-based retrieval.

Built data intelligence and ML systems for global investment operations across 30+ markets.

• •Built full-stack RAG summarization platform combining FastAPI backend (Python 3.12, CrewAI) with 5 specialized pipelines (ODD, Board, Research, PMSR, Putnam Trading) for MosaiQ compute and data platform.
• •Engineered audio-enhanced RAG with AWS Transcribe speaker diarization and Claude 3.5 Sonnet via AWS Bedrock; developed evasion detection classifier using few-shot prompting with 9-category Q&A classification and risk scoring (1-10); persisted outputs in DynamoDB with style personalization and automated citations.
• •Built full-stack Next.js 14/15, Typescript, GraphQL application with Redux Toolkit state management, RTK Query API layer, react-hook-form validation, and Tailwind CSS styling; worked on real-time WebSocket notifications, PDF/DOCX multi-format generation, and DynamoDB-backed ACL authorization with SAML SSO authentication for institutional-grade security.
• •Deployed using AWS provided CI/CD (CodePipeline, CodeBuild, CodeDeploy) orchestrating FastAPI backend, Next.js frontend.

Backend engineer building high-traffic retail systems serving millions of customers. Built 30+ microservices in Java, Kotlin, Python & Go, contributing to Target's digital transformation and cloud migration initiatives.

• •Led the strategic transformation of Inventory & Allocation modules on Target.com from legacy IBM Sterling to a distributed, cloud-native architecture, enabling 5x throughput increase and reducing operational complexity.
• •Engineered high-performance backend microservices using Java/Kotlin (SpringBoot/Micronaut), Go, and Python on GCP, containerized with Docker and orchestrated via Kubernetes to ensure auto scaling and high availability.
• •Led the strategic re-architecture of the Connected Commerce Platform from AWS monoliths to hybrid GCP and event-driven architectures, generating $1B in revenue growth.
• •Built 3+ production microservices in Go using Gin framework with concurrent goroutine-based request handlers, gRPC/Protocol Buffers for inter-service communication; Also engineered integration test data setup pipelines using Golang.
• •Engineered CI/CD automation and infrastructure orchestration: certificate rotation, secret management, and infrastructure provisioning; and managed Jenkins→Drone→Spinnaker→Vela pipeline evolution.
• •Designed distributed systems resilience patterns (circuit breakers, bulkheads, exponential backoff); architected multi-layer caching (Fastly CDN, Redis, Hazelcast) delivering sub-millisecond response times for P1 inventory and guest fulfillment APIs handling 1M+ concurrent member requests.
• •Led Kafka transformation from Zookeeper+brokers to managed Confluent Cloud; designed Avro/Protobuf schema evolution; architected Kafka Streams-based real-time monitoring/alerting pipeline integration with Slack.
• •Implemented reactive programming frameworks (RxJava, Spring WebFlux) and non-blocking I/O patterns across Java/Kotlin microservices; paired with comprehensive observability (Prometheus, Grafana, distributed tracing, logging) and synthetic monitoring (Runscope) for proactive incident detection. Built performance testing framework using JMeter & Gatling.
• •Established enterprise-scale DevSecOps practices: automated vulnerability scanning (OWASP), static/dynamic code analysis (SAST/DAST), certificate management (PEM→JKS rotation), and Vault integration; led security vulnerability management and compliance across open-source dependencies.
• •Led technology integration of acquired companies in stores & supply chain portfolio: established unified coding standards, integrated third-party mobile activations (AT&T, Consumer Cellular, Cricket), and trained engineers on cloud-native patterns.
• •Built reusable libraries for rate limiting, distributed request tracing, and Prometheus/Grafana observability; adopted by 15+ teams with measurable impact (60% reduction in MTTR, 40% reduction in code duplication) enabling self-service deployment patterns across the organization.

CipherCloud was a Cloud Access Security Broker (CASB) and cloud data protection platform, providing enterprises with encryption, tokenization, and DLP capabilities for SaaS applications such as Salesforce, ServiceNow, Box, and SuccessFactors. Led end-to-end development of the product's centralized Management Console — built from scratch — while managing 3 Scrum teams of 12 engineers.

• •Architected and delivered the CipherCloud Management Console from the ground up — a centralized SPA enabling enterprise security administrators to manage encryption policies, data loss prevention (DLP) rules, user activity monitoring, and compliance reporting across all connected cloud applications.
• •Designed cloud application integration layer connecting to Salesforce, ServiceNow, Box, and SuccessFactors APIs; implemented transparent encryption and tokenization of sensitive fields (PII, PHI, PCI data) at rest and in transit without disrupting native application workflows.
• •Built enterprise identity and access management integrations — SAML 2.0 SSO, LDAP/Active Directory federation, and role-based access control (RBAC) — enabling secure, policy-driven access to cloud resources for large organizations.
• •Designed and deployed a responsive single-page application (SPA) using ReactJS, BackboneJS, and Twitter Bootstrap over a Java REST API backend; delivered real-time policy dashboards, audit log viewers, and threat alert workflows.
• •Implemented compliance and audit reporting features, providing security teams with visibility into data access patterns, policy violations, and user behavior analytics across SaaS environments.
• •Led and scaled a high-performing engineering organization through strategic hiring, structured mentoring programs, performance management, and career development planning — growing team velocity and aligning delivery with aggressive product roadmap timelines.

Technical lead for various clients: Union Pacific Rail Roads (UPRR), DEX Media, Hughes Telematics Inc (Verizon Telematics)

• •Technical Stack: Java, Spring, Hibernate, JavaScript, SOAP-based Webservices, JMS, CMS, IBM Mainframe.

Sr. Java Consultant for various clients: GE Healthcare, Lafarge NA

• •Technical Stack: Java, Struts, JSP, Oracle, Jasper Reports, JavaScript.