Akhandam Bhagavan Karthikeya

Hi, I'm Akhandam Bhagavan Karthikeya

Backend & Cloud Engineer

I specialize in building scalable backend systems, robust cloud architectures, and leveraging AI-native workflows to deliver production-grade software faster.

About Me

I build highly scalable backend systems and robust cloud architectures with a heavy emphasis on real-world reliability.

  • My core focus lies in backend development, distributed systems, and designing resilient APIs.
  • I approach problem-solving with a builder's mindset, seeking pragmatic solutions to complex engineering challenges.
  • As a highly curious builder, I heavily leverage AI-native workflows to experiment rapidly and deliver robust code faster.

Core Technologies

GoNode.jsPostgreSQLAWSDockerReact

Featured Projects

Kisanlink FPO ERP

Featured Project: Cloud-Based Backend System

The Problem

Manual and fragmented workflows in FPO (Farmer Producer Organization) operations made data management inefficient and error-prone.

Architecture & Approach

Designed a secure, cloud-native backend system using Golang, PostgreSQL, and Docker, heavily prioritizing data integrity and scalable REST API patterns.

Impact

Enabled highly structured data handling and robust backend workflows with secure APIs and scalable cloud-based deployment on AWS.

GolangPostgreSQLAWSDockerREST APIs

AgriSkill Academy

Job Portal Backend for Agricultural Sector

The Problem

Agricultural students in India lack a dedicated platform to find career opportunities and future-ready skill development specifically tailored to the agri-sector.

Architecture & Approach

Developed a robust RESTful API using Golang and the Gin framework. Implemented a scalable architecture with PostgreSQL for data persistence, GORM for database management, and JWT for secure multi-actor (student/employer) authentication.

Impact

Built the complete backend infrastructure for a mission-driven initiative that empowers India's agricultural workforce with digital tools and job matching capabilities.

GolangGinGORMPostgreSQLJWTDocker

CodeToDocx

AI-Ready Codebase Export Tool

The Problem

Developers often need to share entire codebases with AI tools or reviewers, but fragmented files and directory structures make it difficult to provide complete context efficiently.

Architecture & Approach

Built a CLI-based tool in Python that recursively processes project directories, reads and consolidates source files, and exports them into a structured single document format optimized for AI consumption and analysis.

Impact

Simplified the process of sharing and analyzing complete codebases, enabling more effective AI-assisted debugging, documentation, and system understanding.

PythonCLIFile System Processing

ExpenseWise

Full Stack System

The Problem

Needed a cross-platform, low-friction method to track personal expenses seamlessly without navigating clunky mobile UI forms.

Architecture & Approach

Built a Go/Fiber backend deployed via Docker that integrates directly with a Telegram Bot for instant log entries, backed by a robust React web dashboard for deep data analysis.

Impact

Actively used in daily workflow for expense tracking, ensuring real-world usability, performance, and infrastructure reliability.

GoFiberPostgreSQLReactDockerTelegram Bot

Bloodbank System

Role-Based Access Control (RBAC) Architecture

The Problem

Coordinating blood donations requires secure isolation between donor data, hospital requests, and administrative oversight, demanding strict access controls and real-time alerts.

Architecture & Approach

Engineered a Node.js backend emphasizing strict Role-Based Access Control (RBAC), live notifications via WebSockets, and complex relational data handling in MongoDB.

Impact

Created a highly secure, real-time responsive backend system capable of handling complex multi-actor workflows safely.

Node.jsExpressMongoDBSocket.io

MS Lesion Segmentation

AI-Based Medical Imaging System

The Problem

Manual identification of multiple sclerosis lesions in MRI scans is time-consuming and subjective for radiologists.

Architecture & Approach

Developed deep learning models (CNNs) with complex preprocessing pipelines specifically tuned for handling and augmenting high-dimensional medical imaging datasets.

Impact

Demonstrated advanced capability in training and evaluating complex machine learning architectures with strict accuracy constraints.

PythonCNNDeep LearningTensorFlow

Open Source Contributions

My activity on GitHub, tracked in real-time.

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Last 12 Months
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Professional Experience

Jun 2025 – Present
Hyderabad, India
Kisanlink

Backend Intern

Kisanlink

  • Designed and developed scalable backend services and REST APIs using Spring Boot and Golang for real-world business workflows.
  • Engineered the core backend for **AgriSkill Academy**, a job portal initiative empowering agricultural students with career opportunities.
  • Architected and implemented business logic for the **FPO ERP** system, facilitating structured data management for farmer organizations.
  • Optimized SQL queries and database schemas in PostgreSQL, improving data retrieval performance by 20%.
  • Deployed Dockerized services on AWS, ensuring high availability and scalability.
  • Collaborated with cross-functional teams in an Agile environment to deliver production-ready features.
Dec 2024 – Jan 2025
Hyderabad, India
Dashpod

Automation Intern (SportsTech Platform)

Dashpod

  • Built and maintained automation frameworks using Appium and Java for a sports performance application.
  • Automated UI and API workflows, reducing manual testing effort by 40%.
  • Tested real-time workflows and identified issues affecting performance and user experience.
  • Collaborated with developers to improve software reliability and release quality.

Technical Skills

Programming Languages

JavaPythonGoC++SQLJavaScriptTypeScript

Backend & Cloud

Spring BootREST APIsMicroservicesAWSDockerKubernetesCI/CD

Databases

PostgreSQLMySQLMongoDBSQLite

Machine Learning

Deep LearningCNNImage ProcessingModel TrainingData Preprocessing

AI Tools

ClaudeCursorGemini CLIOpenAI CodexMCP

Tools & Methodologies

AgileSDLCUnit TestingIntegration TestingDebuggingSecurityGit

How I Use AI

I use AI tools as a development multiplier, not just for code generation.

  • I leverage Claude for system design and complex reasoning.
  • I leverage Cursor for rapid iteration and refactoring.
  • I leverage MCP for contextual codebase understanding.

"This allows me to build faster, iterate efficiently, and focus on solving real engineering problems instead of boilerplate."

What I'm Exploring

Currently diving deeper into:

  • Distributed Systems
  • Kubernetes Orchestration
  • Advanced AI-Assisted Development Workflows

Academic Education

SRM Institute of Science and Technology (SRMIST)

B.Tech in Computer Science and Engineering

SRM Institute of Science and Technology (SRMIST)

2023 – 2027
Chennai, India
Score: 9.12
Relevant Coursework: Data Structures, Algorithms, Operating Systems, Database Systems, Object-Oriented Programming, Software Engineering
Fiitjee Junior College

Class XII (Senior Secondary)

Fiitjee Junior College

Telangana State Board
2021 - 2023
Hyderabad, India
Score: 90.4%