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SOFTWARE ENGINEER · DISTRIBUTED SYSTEMS · CLOUD

I build reliable software systems that scale.

Software engineer experienced in building backend services, API infrastructure, cloud systems, automation, and observability across AWS and Kubernetes.

I enjoy the moment when a failure stops looking random and starts becoming a system I can reason about.

  • Based in Bengaluru, India
  • B.Tech, Electronics & Communications - VNR VJIET
Python ·Java ·C++ ·SQL ·REST APIs ·Kafka ·Kubernetes ·Strimzi ·Linux ·AWS ·Keycloak ·OAuth2 / OIDC ·Prometheus ·Grafana ·Jenkins ·GitLab CI ·Git ·
02 - Experience

Professional timeline.

Shortened for scanning. Full details on the résumé.

  1. May 2026 - Present · Bengaluru · On-site

    Analyst, Systems Engineering - Goldman Sachs

    Software engineering on the Subledger Technology platform for Asset & Wealth Management - cloud platform, API infrastructure, and observability.

    • Contributed to a hybrid API gateway layer spanning on-prem and multi-region AWS
    • Contributed to AWS-native microservices using CDK (TypeScript), ECS Fargate, Aurora PostgreSQL, and Lambda
    • · AWS
    • · TypeScript
    • · Java
    • · Observability
  2. Aug 2024 - Apr 2026 · Hyderabad

    Associate Quality Analyst - Oracle

    Software engineering, automation, and infrastructure responsibilities for enterprise services.

    • Built and integrated 150+ modular Cypress workflows into GitLab CI, plus REST API integrations for Keycloak and OpenSearch
    • Investigated Kubernetes deployment failures and authentication issues, and contributed CI/CD reliability improvements
    • · Cypress
    • · Kubernetes
    • · Keycloak
    • · GitLab CI
  3. Jan 2024 - Jul 2024 · Hyderabad

    Project Intern - Oracle

    Test automation contributions on enterprise pipelines.

    • Built modular Cypress components for enterprise CI pipelines
    • Contributed to root-cause analysis on recurring failures
    • · Cypress
    • · JavaScript
    • · GitLab CI
  4. Jul 2023 - Aug 2023 · Remote

    Web Developer - Intern - Oasis Infobyte

    Front-end implementation of responsive marketing pages.

    • Shipped responsive components and landing pages
    • Published work to GitHub for review
    • · HTML
    • · CSS
    • · JavaScript
03 - Principles

How I think.

  • Reliability before unnecessary complexity

    I prefer the simplest design that satisfies the reliability requirement. In automation and deployment workflows, each additional configuration path creates another opportunity for inconsistency.

  • Make failures understandable

    I treat useful logs, metrics, and failure messages as part of implementation because they determine how quickly a failed integration or deployment can be diagnosed.

  • Automate repeatable engineering work

    When a release, validation, or configuration step must be performed repeatedly, I look for a safe way to encode it in a script, framework, or pipeline.

  • Make trade-offs explicit

    I prefer documenting what a solution improves and what it makes more expensive, slower, or harder to maintain.

  • Build software others can maintain

    I value reusable components, clear failure behaviour, and code that another engineer can understand without relying on undocumented context.

04 - Capabilities

Technical capabilities.

Software Development

  • TypeScript
  • JavaScript
  • Python
  • Java
  • C++
  • SQL
  • Bash

Cloud and Service Infrastructure

  • AWS
  • AWS CDK
  • ECS Fargate
  • Kubernetes
  • Docker
  • Linux

Distributed Systems and Integrations

  • Kafka
  • REST APIs
  • Authentication
  • Authorization
  • Service integration
  • Asynchronous processing

Delivery and Reliability

  • GitLab CI
  • GitHub
  • Cypress
  • Prometheus
  • Grafana
  • Logging
  • Deployment debugging
05 - Earlier public projects

Earlier Public Projects.

Earlier learning projects and technical experiments available publicly on GitHub.

View full GitHub profile ↗
  • SONAR-RockVsMine-Prediction-ML-Python

    Learning project - Python

    Binary classifier on the UCI SONAR dataset that predicts whether a sonar return is a rock or a mine using logistic regression.

    • · Python
    • · NumPy
    • · pandas
    • · scikit-learn
    View repository ↗
  • YouTube-Comment-Analysis-Python

    Learning project - Python

    Pulls comments, likes, and dislikes for a given YouTube video via the YouTube Data API and segregates them by keywords.

    • · Python
    • · YouTube Data API
    • · Google Cloud Console
    View repository ↗
06 - Research

Published research.

IEEE ICMACC 2024 · Co-authored

Multi-level authentication combining RFID and PIN-based access control

A standalone access-control system combining RFID identification with a second PIN-verification step. The work explored how layered authentication could improve access security while remaining practical for embedded hardware.

07 - Contact

Let's talk about software.

Open to engineering conversations, collaborations, and interesting software problems. Reach out about a project, a role, or anything you're building.

Send a message