Intro

I AM DHEEPAK.

Vision

I BUILD FROM ZERO.

Deep Focus

I BLOCK THE NOISE.

Stack

I MASTER THE STACK.

Rapid Coding

I CODE FAST.

FastAPI

I DELIVER SPEED.

Architecture

I ARCHITECT SCALE.

Network

I ACCELERATE DATA.

Compute

I MAXIMIZE COMPUTE.

Hardware

I BRIDGE HARDWARE.

WHAT DO I BRING TO THE TABLE?

[ SYSTEM SCAN INITIATED ]

Horizon

READY FOR FALL 2026.

BACKEND

[LANGUAGES]
JAVA, C++, PYTHON
[FRAMEWORKS]
SPRING BOOT, FASTAPI
[DATABASE]
POSTGRESQL, SQL
[ARCHITECTURE]
MICROSERVICES, REST APIs

CLOUD_INFRA

[PLATFORMS]
AWS, GCP
[CONTAINERS]
DOCKER
[PIPELINES]
CI/CD, GITHUB ACTIONS
[MESSAGING]
APACHE KAFKA

INTELLIGENCE

[AI/ML]
PREDICTIVE MODELS, MLOPS
[HARDWARE]
COMPUTER ENGINEERING BASE
[FOCUS]
AI INTEGRATION IN ENTERPRISE

ENOUGH THEORY.

[ LET'S LOOK AT THE EXECUTION ]

01

SCALABLE FILE STORAGE

Engineered a cloud storage platform enabling secure file upload, download, and metadata management. Implemented chunk-based storage, SHA-256 hashing, and a modular backend architecture for enterprise reliability.

[ Stack: Java / Spring Boot / PostgreSQL / MinIO / Docker ]
View Source
02

ORDERFLOW: KAFKA

Architected an event-driven order processing platform facilitating highly scalable microservice communication. Achieved 331 orders/second processing rate across 50,000 real-world transactions using a database-per-service structure.

[ Stack: Java / Spring Boot / Apache Kafka / Docker ]
Inspect System
03

EQUITY-AGENT ML

Automated portfolio management backend. Streamlined market data processing, integrated predictive machine learning models, and scheduled automated trading workflows via GitHub Actions.

[ Stack: Python / FastAPI / PostgreSQL / ML ]
View Architecture