Available for opportunities

Hi, I'm
Darshan.

Software Engineer

Building reliable backend systems, intelligent developer tools and production-ready applications with Java, Spring Boot, Python and AI.

Java Spring Boot REST APIs Python GenAI SQL
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Darshan Jawalkar
Open to work
Scroll
2
GenAI Tools Built
50%
Efficiency Gain
100+
Workflows Delivered
1
Top Performer
02 — About

Engineering
With Purpose

I'm Darshan Jawalkar, a Software Engineer and Backend Developer based in Chennai, India. I specialize in building production-grade systems — from backend frameworks to intelligent automation tools powered by AI.

At Cognizant, I built 2 production GenAI tools using Python and LLM APIs, designed a Java service framework from scratch, and delivered 100+ workflows with measurable performance improvements. I also worked on complex data pipelines with PostgreSQL and Couchbase, and CI/CD quality gates with Azure DevOps.

My approach combines solid engineering fundamentals — OOP, SOLID principles, and Clean Code — with a focus on real-world impact. I believe in building systems that scale, perform, and solve genuine problems.

// Recognized as Top Performer at Cognizant
for delivering production GenAI systems and backend frameworks with measurable efficiency gains

Current Focus

Software Engineer Opportunities

Actively looking · July 2026

Education

B.Tech — Computer Science & Engineering

CGPA: 9.14 / 10.0 · 2020–2024

Location

Chennai, India

Open to Bengaluru · Hyderabad · Remote

Expertise

Backend · REST APIs · GenAI · Java · Python

Spring Boot · CI/CD · SQL · Databases

03 — Experience

Production
Impact

Cognizant Technology Solutions
Software Engineer
Oct 2025 — Jul 2026
  • Built 2 production GenAI tools using Python and LLM APIs. AI scenario generator reduced manual effort by 40–50%.
  • Designed a Java service framework from scratch with modular architecture and parallel execution using ThreadLocal. Delivered 100+ workflows with ~40% efficiency improvement.
  • Built multi-modal document intelligence pipeline for processing complex documents with high accuracy.
  • Production Java development using OOP, SOLID principles, and Clean Code with JUnit 5 and Mockito testing.
  • Azure DevOps CI/CD implementation: quality gates and parallel execution reducing pipeline time by ~30%.
  • REST API validation and data pipelines with PostgreSQL and Couchbase, reducing discrepancies by ~30%.
  • Distributed WMQ workflow management across production environments.
  • 🏆 Top Performer Recognition — Cognizant
    • Cognizant Technology Solutions
    Programmer Analyst Trainee
    Oct 2024 — Oct 2025
  • Trained and developed expertise in Java, Selenium, Cucumber, TestNG, and API testing.
  • Built automation frameworks for enterprise clients with focus on maintainability and scalability.
  • Worked with SQL, Agile methodologies, and CI/CD pipelines.
  • Contributed to quality assurance processes across Fortune 500 clients.
    • 04 — Skills

    Technical
    Arsenal

    ☕

    Backend

    Java Spring Boot REST APIs JDBC Spring Data JPA
    🐍

    Programming

    Java Python JavaScript (ES6+)
    🗄️

    Databases

    SQL PostgreSQL Couchbase MySQL
    🧪

    Testing

    JUnit Mockito Selenium TestNG Cucumber Postman
    ⚙️

    DevOps

    Git GitHub Maven Gradle Azure DevOps CI/CD
    🤖

    AI & ML

    Python LLM APIs GenAI
    05 — Projects

    Things I've
    Built

    📊
    GitHub Live ↗
    React Product Dashboard
    High-performance React dashboard consuming REST APIs with real-time filters. Built reusable component library reducing code duplication by 40%. CI/CD deployed via GitHub Actions.
    React.js REST APIs GitHub Actions Netlify
    👥
    GitHub
    Full Stack Employee Management
    Full-stack CRUD application with Java Spring Boot backend and React.js frontend. RESTful API communication with layered architecture improving maintainability by 25%.
    Spring Boot React.js Java REST API
    06 — AI

    Engineering
    With AI

    🤖

    Production GenAI Tools

    Built 2 production GenAI systems using Python and LLM APIs in a Fortune 500 environment. Focused on practical software engineering — integrating language models into real-world workflows to solve concrete problems.

    AI scenario generator reducing manual effort by 40–50%
    Multi-modal document intelligence pipeline for complex document processing
    ⚙️

    LLM Integration & Automation

    Integrated LLM APIs into backend systems using Python. Focused on reliability, performance, and production readiness — handling edge cases, error management, and scalable deployment.

    Prompt engineering and API optimization
    Asynchronous processing and task queueing
    Cost-efficient model selection and caching strategies
    📊

    Data-Driven Intelligence

    Built multi-modal document intelligence pipelines combining computer vision and NLP. Processed complex documents with high accuracy and integrated results into backend workflows.

    Document parsing and data extraction
    Workflow integration and database storage

    Note: My AI expertise is in practical software engineering with LLM APIs and Python — not research. I build production-ready systems that integrate AI capabilities into real applications.

    07 — Contact

    Let's Build
    Together

    I'm actively looking for Software Engineering and Backend Development opportunities. Open to full-time, contract, and remote roles.

    darshanj590@gmail.com
    in LinkedIn {} GitHub ↗ Live Project 📱 +91-9177184582 ↓ Resume