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AI Engineer with 4+ years in Python, Java, & distributed AI systems.
Software Engineer - AI & Backend with 4 years of experience at Deloitte building production-grade distributed systems and AI-powered microservices across HealthTech and Cloud Security domains. Engineered polyglot backends using Java/Spring Boot (Spring Cloud, Spring Security, Spring Data JPA, Hibernate) and Python/FastAPI, applying Event-Driven Architecture with Apache Kafka, gRPC, Redis, PostgreSQL, and MongoDB. Designed and deployed Retrieval-Augmented Generation (RAG) pipelines and Agentic AI systems using LangChain, OpenAI API, HuggingFace, and Pinecone on large-scale healthcare datasets. Applied distributed systems patterns - CQRS, Saga choreography, Circuit Breaker, API Gateway - to build fault-tolerant, observable microservices delivered via Docker, Kubernetes, and CI/CD across AWS, Azure, and GCP. Enforced security posture across 100+ enterprise cloud accounts; holds three Microsoft Azure certifications (AZ-900, AZ-104, AZ-204).
KL University
B.Tech - Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2018 – June 30, 2022
Deloitte
Software Engineer II
June 1, 2022 – Present
Bengaluru, Karnataka, India
E-Commerce Platform (Microservices)
June 1, 2026 – Present
Built a production-grade polyglot microservices platform (user, product, cart, order, and payment services) using Java/Spring Boot and Python/FastAPI, with service isolation and inter-service communication via gRPC and REST APIs. Applied CQRS and Saga choreography for distributed transaction management; used Apache Kafka for event-driven inter-service communication and Redis for caching.
View ProjectHealthPrism
June 1, 2023 – June 1, 2026
Built a RAG-based Agentic AI chatbot using LangChain, OpenAI API, HuggingFace, and Pinecone, enabling users to generate context-aware insights from large-scale healthcare SDoH datasets via natural language prompts. Developed a pricing prediction ML model backed by Snowflake data warehouse, serving predictions via Python/FastAPI; implemented Python asyncio for concurrent multi-tenant health data queries. Delivered interactive geospatial dashboards using MapTiler and FastAPI/Snowflake for population health visualizations, exposed via GraphQL APIs.
CSPO Fortress - Cloud Security Policy Orchestration
June 1, 2022 – June 1, 2026
Engineered polyglot microservices using Java/Spring Boot (Saga choreography, Spring Security JWT auth, Spring Cloud Gateway) and Python (search, audit, compliance dashboard services), with Apache Kafka for inter-service event communication. Built a RAG-based Agentic AI alerting system that detects policy violations across 100+ enterprise cloud accounts and triggers intelligent context-aware alerts using retrieval pipelines over OPA/Rego policy documents.
Azure Developer Associate (AZ-204)
Microsoft Certified
June 1, 2026 – Present
Azure Fundamentals (AZ-900)
Microsoft Certified
June 1, 2026 – Present
Azure Administrator Associate (AZ-104)
Microsoft Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Deloitte on two major projects (HealthPrism and CSPO Fortress) showcases adaptability to diverse domains (HealthTech, Cloud Security) and complex enterprise environments. Their involvement in both Java/Spring Boot and Python/FastAPI development, along with AI/ML and DevOps, indicates a broad skill set and willingness to learn new technologies. The personal E-Commerce project further highlights initiative and passion for software engineering, suggesting a good cultural fit for a dynamic and innovative team.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through complex system design and AI integration challenges. Their experience in Agile teams and delivering production-grade solutions suggests good operational fit and ability to collaborate effectively. The detailed project descriptions indicate a proactive and results-oriented approach.