01 / INTRO 2026 EDITION
LOCATION GUJARAT, INDIA
DISCIPLINE AI × WEB × CLOUD
STATUS ● READY TO BUILD
— CREATIVE DEVELOPER / INDIA

GAUTAM VANDAR

CREATIVE ENGINEER

Transforming ambitious ideas into fluid, interactive digital experiences.

Building at the intersection of frontend engineering, AI systems, cloud infrastructure and creative technology.

EXPLORE SELECTED WORK
kinetic_field.canvas • global
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GV / PHILOSOPHY
“Code should not only work.
It should communicate.
It should move.
It should feel.”

I build practical software while exploring the space where engineering, interaction and emerging technology meet. With years steeped in hardware architecture, enterprise networks and Linux administration, I treat performance and reliability as design foundations — not afterthoughts.

01 SELECTED WORK

Things I've Built.

Verified software systems, autonomous AI agents, and predictive cloud workflows.

SYSTEM ARCHITECTURE 01 // SBI-SMARTLIFE-AI-AGENT
01
Policy Docs -> Vector Embeddings -> Gemini LLM Agent -> Streamlit UI
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
01 AI Agents & LLM

SBI SmartLife AI Agent

An autonomous AI assistant designed to parse premium product guidelines, calculate risk indices, and generate personalized financial insurance recommendations.

CORE PROBLEM

Complex insurance policy guidelines are difficult for customers to parse quickly, leading to slow risk evaluation, missed details, and decision paralysis.

Gemini Pro Python AI Agents RAG Streamlit Vector DB
OPEN REPO
SYSTEM ARCHITECTURE 02 // AUTOKAGGLE-AGENT
01
Raw Dataset -> Exploratory Agent -> Auto-Feature Engineering -> ML Pipeline -> Predictions
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
02 AI Agents & LLM

AutoKaggle-Agent

Autonomous AI system for Kaggle-style machine learning workflows, automated feature engineering, and model optimization.

CORE PROBLEM

Manual data cleaning, feature engineering, and hyperparameter tuning in competitive ML workflows are time-consuming and prone to human error.

Python AI Agents Gemini API Scikit-Learn FastAPI
OPEN REPO
SYSTEM ARCHITECTURE 03 // BHARAT-VOICE-AI
01
Voice Input -> Speech Recognition -> Gemini Reasoning -> Voice Synth -> Audio Response
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
03 Voice AI

Bharat Voice AI

Multilingual AI voice assistant focused on real-time voice interaction, low-latency speech synthesis, and practical conversational AI applications.

CORE PROBLEM

Language barriers and complex textual interfaces prevent millions of non-English speakers from accessing digital services efficiently.

Python Voice AI Gemini WebSockets FastAPI
OPEN REPO
SYSTEM ARCHITECTURE 04 // AI-CAREER-COPILOT
01
Resume PDF -> Vertex AI Parser -> Taxonomy Skill Mapping -> Interactive Roadmap
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
04 AI Agents & LLM

AI Career Copilot

AI-powered career assistance, candidate skill taxonomy mapping, and intelligent opportunity discovery system.

CORE PROBLEM

Job seekers struggle to map complex skill sets to evolving AI/cloud role taxonomies and optimize resume impact.

Vertex AI Python Next.js BigQuery Google Cloud
OPEN REPO
SYSTEM ARCHITECTURE 05 // AI-DECISION-PLATFORM
01
Syslog Streams -> BigQuery ML -> API Endpoint -> Real-time Diagnostic Dashboard
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
05 Cloud & Predictive ML

AI Decision Intelligence Platform

Enterprise dashboard analyzing corporate log systems, diagnosing server load anomalies, and suggesting hardware replacement lifecycles.

CORE PROBLEM

Corporate server logs produce gigabytes of unstructured data daily, concealing critical hardware degradation indicators until system outages occur.

Python BigQuery ML FastAPI Google Cloud React
OPEN REPO
SYSTEM ARCHITECTURE 06 // TALENTMIND-AI
01
PDF Resume -> OCR Processor -> Vertex LLM Alignment -> Skill Score Report
GROUNDED SPECIFICATION ✓ VERIFIED IMPLEMENTATION
06 AI Agents & LLM

TalentMind AI

An automated screening assistant that parses resumes, maps skills to technical job taxonomies, and generates interactive coding evaluations.

CORE PROBLEM

HR teams spend dozens of hours reviewing unstructured resumes without standardized technical competency verification.

Vertex AI Next.js Node.js Vector DB
OPEN REPO
02 THE LAB

WHERE CODE
GETS WEIRD.

Experiments in motion, interaction, typography and creative computation.

EXPERIMENTS INDEX
01 / PARTICLE FIELD
RECOGNITION CREDENTIALS

Build / Break / Learn.

Competitive engineering, hardware credentials, and validated Google Cloud competencies.

COMPETITIVE CHALLENGE NOV 2024

Google Cloud Developer Challenge — India

Engineered a serverless predictive analytics workflow using BigQuery ML and Google Cloud Run to forecast container turnaround latency and optimize shipping transit routes.

BigQuery ML Cloud Run Python
ENTERPRISE CREDENTIAL DS-983565F6

Dell Certified System Expert (DCSE)

Validated professional certification for component-level diagnosis, PowerEdge server repairs, RAID storage configurations, thin client terminal firmware, and enterprise customer service protocols.

Dell PowerEdge Server Hardware Diagnostics
CLOUD BADGE OCT 2024

Build & Secure Networks in Google Cloud

Architected VPC network peering, firewall rules, Bastion host configurations, and multi-region load balancing policies in Google Cloud Platform.

VPC Peering Cloud IAM Cloud Security
03 ABOUT ME

I've spent years learning how systems work.
Now I'm exploring how they can feel.

My career didn't start in a pristine design studio — it began inside noisy server rooms, diagnosing motherboard faults, debugging network packet routes, and configuring thin client terminals under strict SLA windows.

Over a decade across enterprise IT providers like Vision Infosys (Dell Enterprise) and Arctic International taught me resilience, precision, and respect for system reliability. When I transitioned deeper into full-stack software, Python backend pipelines, and Google Cloud, that foundation stayed with me.

Today, I bring that engineering rigor to creative frontend development and autonomous AI applications. I care about how software works under pressure, but equally about typography, rhythm, fluid motion, and the tactile joy of digital interaction.

FULL BIOGRAPHY & BACKGROUND → CURRICULUM VITAE ↓
DEVELOPMENT PHILOSOPHY
01

MAKE IT WORK.

Reliability first. Build clean architectures that remain rock-solid under unexpected edge cases.

02

MAKE IT CLEAR.

Code and interfaces should communicate their purpose immediately without cognitive friction.

03

MAKE IT FEEL GOOD.

Kinetic feedback, fluid responsive type, and subtle micro-motions elevate software from functional to unforgettable.

04

KEEP LEARNING.

From hardware chips and Linux shells to multi-agent LLM meshes — curiosity is the only real edge.

05

SHIP THE EXPERIMENT.

Ideas only matter once they exist in the browser. Build, deploy, test, iterate.

GITHUB OPEN SOURCE BUILDS

Public Repositories.

Real-time feed fetched from @gunmasterg9 with client-side caching.

04 / CONTACT

LET'S BUILD
SOMETHING
INTERESTING.

Have an ambitious idea, technical problem, creative project, or full-time opportunity in mind? I'm available for high-impact engineering.

DIRECT EMAIL →
ELECTRONIC MAIL gautamglobal.in@gmail.com
CODE HOSTING github.com/gunmasterg9
PROFESSIONAL NETWORK linkedin.com/in/gautam-vandar
BASE COORDINATES Veraval, Gujarat, India