Brijesh Yadav | Backend Software Engineer — Java, Spring Boot, Distributed Systems

Technical Stack

Java

Spring Boot

Python (FastAPI)

PostgreSQL

Redis

Kafka

Docker

AWS

MySQL

Git

JavaScript

React

Featured Projects

Growth Quantix

Active System

Algorithmic Trading & Real-Time Market Infrastructure architected with multi-broker support, live feed ingestion, and decoupled strategy execution.

Multi-broker integration (Upstox, Dhan, Fyers)
Real-time market feed ingestion & Redis Pub/Sub
Paper trading, backtesting, & execution risk barriers

FastAPIPostgreSQLRedisWebSocketsReact

View Project Architecture Blog

Upstox Auth Pro (Python SDK)

PyPI v1.1.3

Published open-source Python SDK automating Upstox OAuth2 login, TOTP 2FA, token storage, and diagnostic retry handling.

Playwright 2FA automation with pyotp TOTP generation
Pluggable token storage & IST-aware token expiry
Automated CI/CD release workflow on PyPI

PythonPlaywrightOAuth2TOTPPyPI

View Project PyPI GitHub

Upstox Auth Pro Java

Open Source

Open-source Java SDK automating Upstox OAuth2 authentication and token management for enterprise trading applications.

Strongly-typed OAuth2 token refresh flow
Seamless Spring Boot & Java backend integration

JavaMavenOAuth2REST APIs

GitHub Source

Prindox

Platform

Online document processing and printing platform with automated order management and async validation backend.

REST APIs for document upload & order processing
PostgreSQL schema optimization for rapid document lookups

PythonFastAPIPostgreSQLREST APIs

View Project GitHub

View All Projects & Experiments →

AI Systems & Research

Architecture & Research Engineering

I explore how AI systems can move beyond isolated model calls into structured, testable and verifiable software architectures. My current work focuses on cognitive architectures, model inference pipelines, financial time-series systems and AI-assisted decision infrastructure.

HSCI (Hyper-Symbolic Cognitive Invention)

Research / Experimental

Experimental self-verifying cognitive architecture coupling neural search heuristics with SMT/Z3 logic reduction and structured working memory.

Native BrainKernel & AST-based Working Memory
Neural-Guided Symbolic Search (NGSS) heuristics
NativeSymbolicEngine Z3 formal logic verification

AI ArchitectureZ3 ProverSymbolic SearchWorking Memory

View Project Architecture Blog

AITOS

Experimental / WIP

AI-assisted market analysis and decision pipeline gating ML signal generation behind deterministic risk filters and safety barriers.

Stage-gated pipeline: Feature Extraction → Inference → Risk Filter
Deterministic capital caps, drawdown limits, & session checks
Paper-trading verification with simulated slippage & EOD evaluation

FastAPIPyTorchRisk FiltersPaper Trading

View Project Architecture Blog

Financial Time-Series Transformer Research

Research / Experimental

Representation learning pipeline for financial sequence prediction, ONNX Runtime conversion, and time-series evaluation.

Time-series split validation preventing look-ahead bias
PyTorch static graph export to ONNX format
Pre-warmed ONNX Runtime inference service in FastAPI

PyTorchONNX RuntimeTime-SeriesFastAPI

Read Inference Case Study

Experience

Oct 2021 — Present

Software Engineer

ArisGlobal · Mysore, India

Developed and maintained Spring Boot microservices supporting critical pharmacovigilance workflows used by global pharmaceutical organizations.
Designed and implemented REST APIs and backend services enabling enterprise integrations and workflow automation.
Built high-volume email ingestion and document-processing pipelines capable of processing thousands of inbound emails and attachments.
Integrated OCR and NLP-based processing pipelines to transform unstructured business data into structured records.
Optimized PostgreSQL and MySQL database queries, improving application performance and backend scalability.
Investigated production issues, performed root-cause analysis, debugging, and delivered reliable fixes within Agile environments.