Software Engineer with 4+ years of experience across distributed systems, AI-enabled platforms, backend services, and cloud infrastructure, working primarily with Java, Python, Kafka, and AWS.

• 🧠 Building backend platforms where AI-assisted tooling meets production-grade reliability — not just prompt wrappers, but event-driven services with retries, observability, and failure recovery
• 🏗️ Deep focus on Kafka-based orchestration, idempotent processing, sagas, and dead-letter isolation at scale
• 📄 Peer-reviewed Springer publication (ICSADL 2022) on mobile payment security
• ☁️ AWS Certified Solutions Architect – Associate
• 💬 Ask me about event-driven architecture, AI-assisted review pipelines, or reconciliation systems at scale

Backend Engineering — Java · Spring Boot · REST APIs · gRPC · Spring Security · Hibernate · JPA · service design

Distributed Systems — Kafka · JMS · asynchronous workflows · retry strategies · dead-letter queues · resiliency patterns

AI Platforms — Python · workflow orchestration · AI-assisted review systems · platform integration · evaluation-minded tooling

Cloud, Data & Operations — AWS · GCP · Docker · Kubernetes · PostgreSQL · Oracle · Redis · Prometheus · Grafana · ELK · CI/CD

A deeper reference architecture reflecting the backend platforms I build day-to-day: request path, async event backbone, storage-per-service, and full observability.

flowchart TB
    Client[Client Applications]

    subgraph Edge["Edge Layer"]
        LB[Load Balancer]
        APIGW[API Gateway<br/>Rate Limiting · AuthN]
    end

    subgraph Services["Service Layer"]
        Auth[Auth Service]
        Order[Order Service]
        Payment[Payment Service]
        Inventory[Inventory Service]
        Notification[Notification Service]
    end

    subgraph Messaging["Event Backbone"]
        Kafka[(Apache Kafka<br/>Partitioned Topics)]
        DLQ[(Dead Letter Queue)]
    end

    subgraph Data["Storage — Database per Service"]
        PG[(PostgreSQL<br/>Orders / Payments)]
        Redis[(Redis<br/>Session & Cache)]
        Cassandra[(Cassandra<br/>Inventory — high write)]
    end

    subgraph Observability["Observability Stack"]
        Prometheus[Prometheus]
        Grafana[Grafana]
        ELK[ELK Stack]
        Tracing[Distributed Tracing<br/>OpenTelemetry]
    end

    Client --> LB --> APIGW

    APIGW --> Auth
    APIGW --> Order
    APIGW --> Payment
    APIGW --> Inventory

    Order -- OrderCreated --> Kafka
    Payment -- PaymentProcessed --> Kafka
    Inventory -- StockReserved --> Kafka
    Kafka -- consume --> Notification
    Kafka -- consume --> Inventory
    Kafka -- consume --> Payment
    Kafka -. failed events .-> DLQ

    Auth --> Redis
    Order --> PG
    Payment --> PG
    Inventory --> Cassandra

    Auth & Order & Payment & Inventory --> Prometheus
    Auth & Order & Payment & Inventory --> ELK
    Auth & Order & Payment & Inventory --> Tracing
    Prometheus --> Grafana

Design decisions worth calling out:

Software Engineer — State Street (Jan 2026 – Present) Built low-latency fund transaction and reconciliation services using Java, Spring Boot, Kafka, JMS, Oracle, PostgreSQL, Docker, Kubernetes, Jenkins, and AWS.

• Improved platform throughput by 40% through event-driven transaction pipelines
• Reduced database query latency from 3.2s to under 1.1s in production
• Enabled operations teams to resolve breaks 35% faster with workflow dashboards

Software Engineer — Accenture (Client: Flipkart, Feb 2022 – Dec 2024) Delivered backend systems for large-scale checkout and payment flows using Java, Spring Boot, Kafka, Cassandra, MySQL, Redis, Elasticsearch, Docker, Kubernetes, Jenkins, and GCP.

• Improved payment success rate by 12% with smart-retry payment orchestration
• Reduced end-to-end API latency by 35% through performance tuning
• Cut infrastructure overhead by 22% via scaling and cloud optimization

AI-assisted pull request analysis platform with event-driven review orchestration, persistent review history, and observability-first service design. Spring Boot Kafka AI-assisted review Docker 📐 System design write-up

Order, payment, inventory, and logistics workflow architecture with Kafka-driven orchestration, idempotent processing, and resilient failure recovery across service boundaries. Java Spring Boot Kafka PostgreSQL Saga pattern 📐 System design write-up

IMEI-driven device verification system for mobile payment authentication and fraud-aware decision flows — connected to a peer-reviewed publication. Java Spring Boot REST APIs Security 📐 System design write-up

Trade ingestion, validation, ledger updates, duplicate detection, and reconciliation workflows for high-integrity financial operations. Kafka Partitioned processing Auditability 📐 System design write-up (case study generalized from production work)

"Improved Security on Mobile Payments Using IMEI Verification" Peer-reviewed conference paper, ICSADL 2022 — published in Springer's Advances in Intelligent Systems and Computing (Sentiment Analysis and Deep Learning, 2023, pp. 183–193). View on Springer · DOI · 1120 accesses · 1 citation

MS in Computer Science — Oklahoma City University (2026) B.Tech in Computer Science and Engineering — Hindustan University (2022) AWS Certified Solutions Architect – Associate — issued March 2026

Open to software engineering roles across backend, distributed systems, and AI platforms — especially event-driven architecture, cloud infrastructure, and developer-facing systems where reliability, scale, and product thinking matter.

⚡ Systems, scale, signal — building AI-enabled platforms and resilient backend infrastructure for production environments.