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Booting AI Systems…

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Mahmadamin
Lodhiya.

Software Engineer · AI Backend Systems

> KYC & Onboarding Infrastructure

Building AI-powered backend systems that process 100,000+ verifications a day. Java, Spring Boot, Python, Docker & Kubernetes — shipping scalable, secure services at production scale.

Schedule a meet See my resume

● ONLINE / eng.02v1.0 · prod

● Backend

Java · Spring Boot

● AI / ML

Python · Flask

● Cloud

Docker · K8s · Azure

/// engineer

Mahmadamin Lodhiya

India · Remote

◆ Java · Spring Boot◆ Python · Flask◆ PostgreSQL · pgvector◆ Docker · Kubernetes◆ GitHub Actions · CI/CD◆ Azure · AKS◆ REST APIs◆ AI · OCR · Classification◆ Java · Spring Boot◆ Python · Flask◆ PostgreSQL · pgvector◆ Docker · Kubernetes◆ GitHub Actions · CI/CD◆ Azure · AKS◆ REST APIs◆ AI · OCR · Classification

// aboutoperator

Code, systems
& scale.

Making identity verification instant.

Based inIndia · Remote-first

FocusBackend · AI · Cloud-native

CurrentlyBuilding KYC at TrackWizz

Open toFull-time · Freelance

Hi, I'm Mahmadamin — a Software Engineer who loves turning hours of manual work into milliseconds of automation.

"Simplicity is the ultimate sophistication." — Leonardo da Vinci

Computer Engineering grad from GEC Rajkot. At TrackWizz I build AI-powered KYC pipelines — document classification, OCR and a rule-based match engine running 100k+ checks a day.

Day-to-day I live in Java · Spring Boot, Python and Kubernetes — shipping clean APIs, slimmer containers and safer code.

Outside work I read ML papers, sharpen my DSA on LeetCode, and tinker with side projects — recently a visual search engine that returns similar products in under 200ms.

Clean architecture

API-first design

Observability

Container security

Prompt engineering

Continuous delivery

100K+

KYC / day

99.83%

Faster checks

1370+

Vulns fixed

// timelinetrajectory

The trajectory.

From engineering college to production-grade KYC infrastructure serving thousands of verifications every hour.

Jul 2024 – PresentFull-time India · Hybrid

TrackWizz — TSS

Associate Software Engineer

AI-powered KYC APIs — 100k+ records/day, 99.83% faster.
Designed match engine, OCR & photo extraction services.
Shipped Spring Boot + Flask APIs for real-time inference.
Slimmer Docker images on Kubernetes with zero-downtime rollouts.
Drove 1370+ VAPT vulnerabilities to near-zero.
Built AI-powered document classification, extraction & verification APIs that automated KYC — cutting verification time by 99.83% and handling 100,000+ records/day.
Designed scalable services for Data Extraction, AOF Extraction, Photo Extraction and a KYC Matching Engine for end-to-end identity verification.
Fine-tuned classification & detection models; served them via Spring Boot and Flask REST APIs for real-time inference.
Containerized apps with Docker (multi-stage builds) and deployed on Kubernetes — significantly reducing image size and deployment time.
Ran regular VAPT & maintained SBOMs, driving 170+ app and 1200+ container vulnerabilities to near zero.

JavaSpring BootPythonFlaskDockerKubernetesPostgreSQLAzure

2023Internship Ahmedabad, India

Infolabs Technologies

Web Developer — Intern

Built responsive ReactJS UIs with real-time API data.
Wired HTTP request/response flows with modern ES6.
Learned component-based architecture on live projects.
Designed and developed dynamic web pages using ReactJS — creating interactive and responsive user interfaces.
Integrated real-time APIs to fetch live data, enhancing UX with dynamic content updates.
Implemented HTTP request/response mechanisms and leveraged ES6 features for efficient data handling and state management.
Gained hands-on experience with modern web practices — component-based architecture and reusable UI components.

ReactJSJavaScript (ES6+)HTML5CSS3REST APIs

// featuredselected work

Selected work.

Production systems shipped across KYC automation, computer vision and containerized microservices. Click any card for the full story.

01 / project

KYC Match Engine

Automated Identity Verification

Rule-based matching engine in Java Spring Boot comparing customer-submitted data against details extracted from ID documents in real time.

JavaSpring BootFlaskPostgreSQLDockerAKSREST

Discuss project

02 / project

Visual Search Engine for Tiles

Image-based Product Search

Reverse image search for tile manufacturers — upload a photo and find visually similar designs from a catalog of 15,000+ products in under 200ms.

PythonFlaskpgvectorPostgreSQLk3sDockerCNN

Discuss project

// arsenalthe stack

The stack.

From JVM services to containerized ML inference — the full vertical I ship with.

Languages

JavaPythonOpenJDK

Frameworks

Spring BootFlaskGradleSwagger

Databases

PostgreSQLpgvector

DevOps / Cloud

DockerKubernetesGitHub ActionsAzureLinux

AI / ML

TensorFlowOCREmbeddings

Tools

GitGitHub

// commitsgithub activity

Shipping in the open

@aminlodhiya · contributions over the last year

GitHub contribution chart for aminlodhiya

// educationfoundations

2020 – 2024Bachelor's Degree Rajkot, India

B.E. Computer Engineering

Government Engineering College, Rajkot

Focused on Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks and Software Engineering — with hands-on projects in full-stack web and applied machine learning.

DSAOSDBMSNetworksOOPMLWeb

// highlights