Selva Hariharan

CTO & Co-founder at NxtHive | Software Engineer | AI-Augmented Development

I build systems that write, test, and improve software using AI.

I build systems

that generate code

test themselves

and continuously improve

The Journey

From absolute beginner to building intelligent systems.

The Origin

Curious Explorer

Self-Taught

Got my first laptop and knew absolutely nothing about it. Started learning through pure trial and error, breaking things, and learning from mistakes.

CuriosityTrial & Error

Higher Education

Computer Science Major

Lakshmi Garden School

Formalized my passion by choosing Computer Science as my major. Built the foundational knowledge needed for my software journey.

Computer Science

Undergrad

BCA Student

Vellore Institute of Technology

Where theory met practice. Learned the core fundamentals of Software Development, Testing, SDLC, Logic Gates, Discrete Maths, Data Warehousing, DBMS, and Cloud.

SDLCDBMSCloudSoftware Dev

The Career Start

Analyst Trainee → Permanent Employee

Cognizant

Started with a 3-month intensive automation testing internship using Selenium and Java. Transitioned to a permanent role, starting my career in Software Testing and developing robust software testing tools.

JavaSeleniumTest AutomationTooling

The Leap

CTO & Co-Founder

NxtHive Technologies

Took the entrepreneurial leap during my internship period. Focused on building scalable, intelligent systems and shaping the engineering culture.

EntrepreneurshipSystem ArchitectureAI

Digital Blueprints: Forging The Future

CandidateX / ATS Platform

Hiring system with REST APIs and automation pipelines.

Backend ArchitectureDevOpsScalability

NxtHive Homepage

Homepage for NxtHive Technologies.

FrontendDesign

ATLAS

Internal automation system for enterprise workflows and mainframe interaction.

Agent-driven automationCLI integration

Pulse

Android-based tap-to-share system using NFC and Nearby Connections.

Offline-firstSeamless data exchange

Fashion AI (POC)

ML-based outfit recommendation system using personal wardrobe.

Decision supportPersonalization

Anime Recommendation CLI

Lightweight recommendation system based on user input.

Algorithmic logicSimplicity

How I Build

Every project follows a deliberate pipeline: accelerate ideation, tighten execution, and automate quality at each step.

Step 01

AI-Assisted Development

Leveraging LLMs and fine-tuned models to accelerate product creation.

Step 02

Prompt Engineering

Crafting precise instructions to generate high-quality code and automation scripts.

Step 03

Agent-Based Systems

Building autonomous systems that perform tasks independently.

Step 04

Automation-First Mindset

Solving repetitive problems by replacing manual workflows with continuous integrations.