Building scalable backend systems and AI-integrated applications.
10+ years delivering enterprise-grade Java / Spring Boot microservices, Kafka event pipelines, Elasticsearch search, and cloud-native architectures on AWS, GCP, and Azure — now focused on Generative AI, LLM integration, and RAG systems at retail scale.
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Years in Engineering
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Enterprises
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Fewer Incident Recurrences
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Cloud Platforms
Technical Expertise
High-throughput, fault-tolerant services — now augmented with production-grade AI.
GenAI & LLM Engineering
LLM integration (OpenAI, Anthropic, Azure OpenAI), RAG pipelines with Pinecone / FAISS, prompt engineering, and LangChain / LangGraph orchestration inside Java microservices.
Distributed Systems
User management & identity platforms, multi-threaded Kafka batch / event pipelines for real-time indexing and downstream processing at enterprise scale.
Search & Data
Elasticsearch migrations and query optimization, PL/SQL, and read-optimized data modeling for large digital collections.
Cloud & Reliability
AWS / GCP / Azure, Docker, Kubernetes, Jenkins CI/CD, L2/L3 production support, SLA/SLO adherence, and self-healing auto-remediation workflows.
Professional Experience
Technical leadership across retail, eCommerce, financial services, health tech, and telecommunications.
Senior Software Engineer – AI
- Design and integrate AI/ML-powered features into Java-based microservices — model inference endpoints and intelligent data pipelines — consuming GenAI / LLM APIs (OpenAI, Anthropic, Azure OpenAI) for Walmart's retail platform at scale.
- Built and optimized Retrieval-Augmented Generation (RAG) solutions on vector databases (Pinecone, FAISS) and enterprise data; shipped REST APIs integrating third-party AI services for product recommendations and automated catalog operations.
- Developed React frontends with AI-assisted UX patterns; partnered with data science to deploy, monitor, and scale models in the cloud following MLOps practices.
- Own L2/L3 production support for full-stack AI applications on AWS and GCP — root cause analysis, incident triage, and SLA/SLO adherence.
- Enabled self-healing systems via anomaly detection and auto-remediation; engineered permanent fixes that reduced incident recurrence by 40%.
- Applied prompt engineering with LangChain and LangGraph orchestration; enforced security, governance, and responsible-AI practices; maintained runbooks and operational procedures.
Staff Software Engineer
- Developed and deployed enterprise applications using Spring Boot, Kotlin, REST APIs, and GraphQL serving millions of users.
- Led design and development of an enterprise user management system, improving scalability and user experience.
- Implemented Kafka-based event and batch pipelines for asynchronous collection imports, card updates, indexing workflows, and downstream processing.
- Drove Elasticsearch migration and performance validation for Collection Hub — faster search, filtering, and read-optimized access for large digital collections.
- Applied GenAI tools and LLM prompts to analyze user stories, acceptance criteria, test failures, and flaky-test patterns, cutting manual investigation time.
- Designed scalable features on AWS with Docker and Kubernetes alongside cross-functional teams.
Senior Software Developer
- Migrated legacy financial services to cloud-native architecture on AWS with Docker and Kubernetes, improving performance and scalability.
- Designed Python utilities and Flask applications integrated with MongoDB for backend validation and reporting.
- Managed Jenkins CI/CD pipelines to streamline integration and delivery.
Senior Software Engineer
- Built a Spring-based validation framework for Adobe Omniture analytics data on samsclub.com in partnership with the site analytics team.
- Maintained Jenkins CI/CD jobs and contributed to the design of the internal automation framework.
Technical Lead
- Led detailed design of development frameworks and tools; managed configurations, builds, branching, and deployments.
- Developed REST APIs integrating payment services with Apple Pay and partner financial institutions.
- Wrote unit and performance test suites with Java, TestNG, and JMeter.
Production Support Engineer
- Supported customer-facing applications — incident resolution, batch job monitoring, and coordination with business users.
- Led ETL architecture efforts and supported Informatica PowerCenter workflows and mappings.
Java Developer
- Analysis, design, and TDD of the INSTAR application using Java, PL/SQL, and SOA web services (WSDL, SOAP, REST).
- Configured Hibernate ORM and wrote complex SQL, stored procedures, and triggers for Oracle databases.
Lead RF Engineer – LTE & Network Optimization
- Led 4G/LTE field integration, optimization, and technology trials for Sprint / Samsung networks.
Senior RF Design Engineer
- Led 3G UMTS / HSDPA network optimization and performance improvement activities for AT&T.
- Diagnosed and optimized coverage, handoffs, RF interference, RSSI, and network performance using TEMS, ACTIX, MapInfo, and Ericsson OSS.
RF Performance Engineer – WiMAX Internship
- Performed RF parameter optimization, neighbor-list management, preamble-code validation, and antenna electrical-tilt analysis.
- Used XCAL and mapping / post-processing tools for field data collection and performance analysis.
Skills
Languages, frameworks, platforms, and methodologies used in production.
Languages & Frameworks
AI / ML
Cloud & DevOps
Data & Messaging
Education & Credentials
M.S., Electrical Engineering
B.E., Electronics & Communication Engineering
Advanced Java: Developing with APIs
Get In Touch
Open to conversations about AI engineering, cloud architecture, and high-scale systems.