AI & Data Science Engineer • Builder

Balavignesh A U

AI Engineer • Full-Stack Developer • System Builder

I build AI-powered applications, intelligent agents, scalable REST APIs, and full-stack products — connecting machine intelligence and vector retrieval with production-ready software systems.

View Projects View Resume GitHub LinkedIn

Focus AI Agents & Full-Stack

Location Chennai, India

Graduation March 2027

system_architecture.py LIVE

01. INTELLIGENCE LLMs & Embeddings

RAG / Context

02. AUTONOMY AI Agent & Vector DB

Tool-Calling / Routing

03. BACKEND API FastAPI & Flask Services

Async / Microservices

04. INTERFACE React, Native & Extension

Cross-Platform UX

Explore Engineering Profile

01. Philosophy & Core

Bridging Intelligence to Interfaces

Engineering software systems at the convergence of Artificial Intelligence, robust backend services, and polished cross-platform applications.

Engineering Mindset

I approach software engineering from the intersection of AI capability and product execution. Rather than treating AI models as isolated experiments, I focus on integrating language models, agent workflows, and vector retrieval into responsive backends and cross-platform applications.

My practical experience spans building AI-powered browser automation at Zuntra Digital, engineering industrial inspection APIs and Android workflows at DoorBox.ai, and training end-to-end machine learning workflows at Infosys Springboard.

Production-oriented AI & Agent Workflows

High-performance FastAPI & Flask Endpoints

Cross-platform React Native & Android Development

Relational & Document Databases (PostgreSQL, MongoDB, Firebase)

AI Agents & Automation

Browser extension automation, autonomous task execution, and LLM-driven decision engines for complex workflows.

RAG & Semantic Search

Contextual chunking, vector embeddings, semantic retrieval, and low-latency grounded query synthesis.

Backend & API Architecture

Asynchronous RESTful APIs with FastAPI & Flask, document workflows, real-time reporting, and schema integrity.

Mobile & Full-Stack Apps

React, React Native, and Android application development with real-time cloud data sync and clean UI design.

02. Engineering Approach

From Intelligence to Interface

A systematic engineering pipeline turning real-world problem statements into performant, user-facing software.

Phase 01

Problem Definition

Isolate manual bottlenecks, latency vectors, or navigational friction in domain workflows.

Domain Modeling

Phase 02

AI / LLM Modeling

Select, prompt-engineer, and structure models for deterministic reasoning and query resolution.

LLMs • Embeddings

Phase 03

Agent & Retrieval

Deploy vector indexes, semantic search, and autonomous tool calling for grounded task execution.

RAG • Vector Search

Phase 04

Backend API

Wrap models into high-throughput asynchronous REST APIs with error handling and validation.

FastAPI • Flask

Phase 05

Interface & User

Deliver responsive web, browser extension, or mobile interfaces that empower end users seamlessly.

React • React Native

Zuntra Digital

AI Agents + Browser Automation + FastAPI

Enterprise extension orchestrating autonomous task execution via intelligent LLM agent pipelines.

SiteSense

RAG + Vector Search + Semantic Routing

Semantic web query parsing with automated page redirection and real-time knowledge synthesis.

DoorBox.ai

APIs + Inspection Workflows + Android App

Real-time industrial report generation linking mobile inspection clients to backend services.

Altuno

React Native + Firebase + Financial Analytics

Cross-platform student budgeting app with real-time cloud data sync and automated categorization.

03. Professional History

Industry Internships

Direct hands-on engineering contributions across AI agents, mobile applications, backend services, and machine learning pipelines.

Most Recent AI Agent Role

AI Agent Intern

Zuntra Digital

June 2026 – August 2026 Internship

Built production-oriented AI features focusing on enterprise workflow automation, browser extension integration, and high-performance backend communication.

AI-Powered Browser Extension: Developed an AI-powered browser extension engineered for enterprise workflow automation and task streamlining.
LLM Agent Integration: Integrated LLM-based agents with browser automation for intelligent, context-aware task execution.
FastAPI Backend Engineering: Designed and implemented robust backend APIs using Python and FastAPI to support scalable agent operations.
Multi-Tier Communication: Engineered reliable data communication between the browser extension, backend services, and enterprise platforms with focus on low latency and UX reliability.

Python FastAPI AI Agents LLMs Browser Automation REST APIs Enterprise UX

SDE Intern

DoorBox.ai

February 2026 – April 2026 Internship

Developed Android application features and implemented backend microservices for industrial inspection workflows and automated document reporting.

Android Application Development: Engineered responsive mobile application modules for field inspection teams.
Backend APIs for Inspection: Designed and implemented backend APIs using Flask/FastAPI tailored for industrial inspection workflows.
Real-Time Report Generation: Enabled real-time automated report generation and inspection document workflows.
System Integration: Connected frontend client components with backend services to ensure seamless data pipelines.

Android Python FastAPI Flask REST APIs Document Workflows

AI Engineer Intern

Infosys Springboard

November 2024 – January 2025 Internship

Gained rigorous hands-on experience executing end-to-end machine learning workflows and applying analytical models to real-world problem sets.

End-to-End ML Workflows: Managed comprehensive pipelines spanning data preprocessing, feature preparation, and dataset hygiene.
Model Training & Evaluation: Built and evaluated predictive models using machine learning metrics and validation frameworks.
Applied Problem Solving: Implemented Python-based AI algorithms to address structured engineering case studies.

Python Machine Learning Data Preprocessing Model Training Model Evaluation

04. Engineering Portfolio

Key Projects

Production-oriented software projects built to solve tangible problems in web discovery, mobile finance, and domain intelligence.

Featured Project January 2026

SiteSense — Intelligent Web Navigation

RAG-Powered Conversational Discovery & Autonomous Routing

Problem

Navigating information-dense web portals is often tedious, resulting in user drop-off when searching across deep hierarchical documentation and pages.

Solution

Built an intelligent RAG-based AI assistant that semantically parses website content, answers queries in real time, and automatically routes users directly to the precise target destination.

Key Capabilities:

Vector embedding & semantic indexing of website content
Contextual query resolution with low-latency LLM pipeline
Intelligent multi-page navigation and autonomous page redirection
Conversational web querying designed for rapid information discovery

Python FastAPI RAG LLMs Vector Search Semantic Retrieval

GitHub Code

Mobile App November 2025

Altuno — AI Finance Management App

Cross-Platform Smart Expense Analytics for Students

Problem

Students struggle with financial discipline and manual tracking due to fragmented tools that lack automated categorization and actionable monthly insights.

Solution

Architected a cross-platform mobile application powered by React Native and Firebase that offers real-time cloud data sync, automated expense categorization, and monthly analytics.

Key Capabilities:

Real-time bi-directional cloud data synchronization via Firebase
Automated expense categorization and monthly budget telemetry
Multi-device transaction logging and instant income tracking
Clean, responsive interface tailored specifically around student needs

React Native Firebase JavaScript Real-Time Sync Financial Analytics

GitHub Code

Legal Tech 2025

AI Powered Legal Chatbot

Interactive Legal Assistant with 3D Avatar & LLM Reasoning

Problem

Legal jargon and statutory research are inaccessible and overwhelming for non-lawyers seeking immediate guidance on rights and regulations.

Solution

Engineered an AI-powered legal assistant combining an interactive 3D avatar with large language model reasoning and specialized legal document processing.

Key Capabilities:

NLP-driven statutory reasoning and query interpretation
Interactive 3D avatar UI for conversational legal consultation
Structured parsing and indexing of legal documentation
Real-time conversational streaming and query assistance

Python NLP LLMs 3D Avatar Legal Data Processing

GitHub Code

05. Capabilities

Technical Skills & Stack

A clean inventory of languages, frameworks, AI paradigms, databases, and computer science fundamentals.

Languages

Python Java JavaScript SQL

AI & Machine Learning

                             AI Agents
                             LLMs
                             RAG
                             Vector Search
                             NLP
                             Machine Learning
                             Model Training
                             Model Evaluation
                        

Backend & APIs

FastAPI Flask Node.js REST APIs

Frontend & Mobile

React React Native Android HTML5 / CSS3

Databases

PostgreSQL MongoDB Firebase

Tools & Workflow

Git GitHub Postman Linux / CLI

Core CS Fundamentals

Data Structures & Algorithms Object-Oriented Programming (OOP) DBMS Computer Networks Operating Systems System Design Basics

06. Competitive Experience

Hackathons & Engineering Sprints

Participated in 5+ national-level competitive hackathons, solving rapid technical challenges across healthcare, AI systems, and domain automation.

National Level

LLM Healthcare

SRM University

Engineered conversational LLM-assisted healthcare prototypes targeting triage automation and clinical inquiry workflows.

Healthcare • LLMs

Engineering Sprint

Hack The Horizon

Coimbatore

Collaborated in rapid 24-hour sprint developing software prototypes under tight architectural and delivery constraints.

Full-Stack • API Integration

AI & Software

Hackgenix

Sathyabama University

Competed on high-intensity challenge implementing innovative software solutions evaluated by academic and industry judges.

AI Solutions • Software

Tech Challenge

Tiforage'26

Rajalakshmi Institute of Technology

Delivered multi-tiered technical demonstration focusing on system design, responsive client interfaces, and backend integration.

System Design • Web

Industry Hackathon

Cliqtrix'26

ZOHO Corporation

Participated in Zoho's flagship technical contest solving enterprise-grade problem statements and engineering logic.

Enterprise • Logic & Code

07. Accreditations

Certifications

AWS Cloud Practitioner – Gen AI

Amazon Web Services

NPTEL – Programming in Java

National Programme on Technology Enhanced Learning

NPTEL – Python for Data Science

National Programme on Technology Enhanced Learning

Microsoft Learn – AI

Microsoft

Microsoft Learn – Data Analysis

Microsoft

Microsoft Learn – Cloud System

Microsoft

08. Academic Background

Education

Undergraduate Degree

B.Tech — Artificial Intelligence and Data Science

SRM Valliammai Engineering College

Graduating March 2027 CGPA: 7.6 / 10

Core coursework in Machine Learning, Deep Learning, Natural Language Processing, Operating Systems, Database Management Systems, and Design & Analysis of Algorithms.

Higher Secondary

Class XII — Senior Secondary

Sivananda Rajaram Senior Secondary School

Completed 2023 Score: 76%

Open Source & Code Repositories

Explore source code for projects, experiments, and technical contributions.

github.com/Bala1415

Let's Connect

Have a problem worth building?

Let's build it.

I am actively seeking AI/ML engineering, backend, and full-stack software engineering opportunities, internships, and high-impact technical collaborations.

Email Directly aubalavignesh1010@gmail.com

LinkedIn in/balavignesh1010

GitHub github.com/Bala1415

Base Location Chennai, India • Open to Global