Brijesh Bhalala

Initializing portfolio

Brijesh Bhalala profile - Backend Engineer specializing in Java Spring Boot and AWS

Hi, I'm Brijesh :)

I build scalable backend systems and APIs that run reliably in production. Over the past 3+ years, I’ve worked across Fintech, MarTech, and SaaS, delivering up to 80% automation improvements and optimizing system performance at scale. My core stack includes Java, Spring Boot, REST APIs, and AWS, and I’m currently building AI-powered applications using LLMs and RAG pipelines.

Tech Stack Behind My Work

Backend Engineering

Java logo
Java programming language used for backend development

Developed scalable backend applications using Java with strong OOP principles.

Spring Boot logo
Spring Boot framework used for Java backend microservices and REST API development

Built production-grade APIs and microservices with focus on scalability and reliability.

Hibernate ORM logo
Hibernate ORM used for database persistence and efficient Java application data handling

Used Hibernate ORM for efficient database interaction and relational data handling.

Microservices architecture icon
Microservices architecture for scalable distributed backend systems and fault tolerant services

Designed distributed microservices for scalable and fault-tolerant systems.

REST API icon
REST API development for scalable backend services and high performance system integration

Developed and optimized REST APIs with focus on performance and clean design.

Databases

PostgreSQL logo
PostgreSQL database used for relational data storage, performance tuning, and scalable backend queries

Managed complex queries and optimized database performance using PostgreSQL.

MySQL database logo
MySQL relational database used for backend development and structured data management

Built and maintained relational databases using MySQL for web applications.

MongoDB database logo
MongoDB NoSQL database used for flexible schema design and modern backend applications

Used MongoDB for flexible NoSQL data storage in modern applications.

DevOps / Deployment

Docker logo
Docker containerization used for packaging backend applications and simplifying deployment workflows

Containerized applications using Docker for smooth deployment and portability.

Kubernetes logo
Kubernetes orchestration used for scaling containerized microservices and managing cloud infrastructure

Managed container orchestration and scaling using Kubernetes clusters.

AWS cloud logo
Amazon Web Services cloud platform used for deploying scalable backend systems with secure infrastructure

Deployed applications on AWS cloud with scalable and secure infrastructure.

CI/CD & Automation

CI/CD Pipeline icon
CI CD pipeline automation for continuous integration testing and production deployment

Built CI/CD pipelines for automated build, testing, and deployment workflows.

Jenkins logo
Jenkins automation tool used for building CI CD pipelines and managing backend deployment workflows

Automated build and deployment pipelines using Jenkins CI/CD tools.

AI / Machine Learning

AI and machine learning icon
AI and machine learning development used for automation prediction and intelligent decision systems

Implemented AI/ML-based solutions for automation, prediction, and smart decision-making.

RAG pipeline icon
RAG retrieval augmented generation pipeline used for LLM search and AI question answering applications

Built RAG pipelines to enhance AI responses using document search and vector databases.

LangChain logo
LangChain framework used to build LLM workflows AI agents and retrieval based applications

Used LangChain to build AI agents, workflows, and LLM-based automation solutions.

Agentic AI icon
Agentic AI system capable of autonomous reasoning planning and executing tasks using LLMs

Developed Agentic AI systems capable of reasoning, planning, and executing tasks.

Pydantic logo
Pydantic library used for Python schema validation API request handling and structured data modeling

Used Pydantic for strong data validation, schema modeling, and API request handling.

Professional Journey

Zinier reporting and analytics dashboard interface screenshot
Aug 2025 – Present

Software Engineer — Zinier

  • Built scalable pipelines to process GPS-based route data for production systems
  • Integrated OSRM API to automate distance and travel time calculation, reducing manual effort by 60–70%
  • Improved API performance by decoupling payload processing from request flow
  • Implemented parallel processing and retry mechanisms for high-volume distributed systems
WebEngage Ask AI feature interface GIF showing AI powered analytics and insights
Nov 2023 – Aug 2025

Software Engineer — WebEngage

  • Developed and maintained microservices and REST APIs for RCS messaging systems
  • Handled production incidents (PagerDuty), ensuring high system reliability and uptime
  • Automated UTM parameter tracking for campaigns, improving analytics accuracy
  • Worked on scalable backend systems supporting real-time communication workflows
Kristal.ai wealth management dashboard screenshot showing investment fund marketplace interface
Jan 2022 – Oct 2023

Software Engineer — Kristal.ai

  • Built reporting system serving 2000+ clients with automated data pipelines
  • Reduced manual effort by 80% through backend automation
  • Developed scalable services using Java, JDBC, and PostgreSQL
  • Designed cron-based workflows for scheduled report generation and delivery

Highlighted Work

HireIQ — AI-Powered Job Application Assistant

Full-Stack Development

  • Built AI-powered job assistant: React + FastAPI + Groq LLM with 5+ features, PostgreSQL pgvector embedding semantic job matching, and real-time feedback.
  • Application includes 6+ API endpoints and security features (rate limiting, PII masking, prompt injection detection).
View the full project
Tech:
React.js frontend framework FastAPI framework Python programming language Node.js runtime Groq LLM inference platform LangChain framework Redis database PostgreSQL database Spring Boot framework

AI News Agent — Intelligent News Summarization & Interaction

Full-Stack / AI-Driven Tool

  • Built an AI-powered agent that aggregates, analyzes, and interacts news content across diverse sources using LangChain + LLMs.
  • Designed modular ingestion pipelines for fetching articles, cleaning data, generating summaries, and storing semantic metadata.
  • Implemented a conversational UI that lets users ask questions, get summaries, and explore contextual insights about trending news.
View the full project
Tech:
Python programming language Groq LLM inference platform Tavily API web search integration SMTP email integration HTML templates

Where It All Started

B.Sc. (Information & Technology)

Veer Narmad South Gujarat University

2017 – 2020 • Surat, India

Developed core programming fundamentals, data structures, and problem-solving skills. Gained hands-on experience in software development and foundational computer science concepts.

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Veer Narmad South Gujarat University education illustration for BSc Information Technology

M.Sc. (Information & Technology)

Dhirubhai Ambani Institute of Information and Communication Technology

2020 – 2022 • Gandhinagar, India

Focused on advanced software engineering, distributed systems, and backend architecture. Built strong foundations in system design, database management, and scalable application development.

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DAIICT MSc Information Technology education illustration for postgraduate studies in software engineering and distributed systems