HARINIL
SoftwareEngineer
Software Engineer with enterprise experience at Dell Technologies, building C#/.NET applications and automation, with hands-on Java/Spring Boot, full-stack development, and AI/LLM engineering experience.
M.Tech CSE (IT) — UVCE BengaluruCGPA: 8.70 / 10HARINI L
Software Engineer
Software Engineer with enterprise experience at Dell Technologies, building C#/.NET applications and automation, with hands-on Java/Spring Boot, full-stack development, and AI/LLM engineering experience.
Experience
Software engineering, systems automation, and AI-assisted enterprise development
Dell Technologies
- •Architected and developed C#/.NET Windows recovery applications supporting critical Hardware Scan, Repair, Reset, Backup, and Disk Cloning workflows.
- •Engineered robust system automation utilizing PowerShell, Batch scripting, WIM, WinPE, WinRE, and DISM for deployment and automated ISO generation.
- •Led end-to-end debugging, root-cause analysis, regression testing, and performance validation across core recovery features to guarantee enterprise stability.
- •Employed AI-assisted engineering workflows leveraging Claude Code, Coding Agents, and Spec-Driven Development (SDD) for rapid codebase exploration, implementation, refactoring, and test generation.
Toshiba Software India Pvt. Ltd.
- •Completed enterprise Japanese software engineering program covering core Software Engineering principles, Artificial Intelligence, and Agile delivery.
- •Delivered project-based assignments applying PMBOK project management frameworks for sprint planning, effort estimation, and technical documentation.
DRDO — Centre for Artificial Intelligence and Robotics (CAIR)
- •Engineered modular frontend components and intuitive user interfaces using React.js and Figma for an institutional AI-based evaluation platform.
- •Integrated client-side components with Spring Boot REST APIs and MongoDB backend database for real-time evaluation data persistence and validation.
Projects
Featured engineering applications spanning Agentic AI, multi-agent RAG, NLP, and enterprise full-stack systems
AI-Powered Ransomware Recovery Prioritizer
Agentic AI decision-support system combining graph network analysis with dynamic risk scoring to prioritize recovery of critical enterprise assets.
- •Built interactive NetworkX attack graphs modeling infection paths, asset dependencies, and blast radius to prioritize critical recovery workflows.
- •Integrated Llama 3.1 via Ollama to generate context-aware recovery playbooks for automated host isolation, reimaging, and restore.
Smart Complaint Management Portal
Event-driven complaint management system with JWT authentication, role-based access control, audit trails, and asynchronous event processing.
- •Built secure REST APIs using Spring Boot, Spring Security, JWT authentication, and role-based access control.
- •Implemented Kafka event integration, Redis caching, 64 automated tests, GitHub Actions CI/CD, and cloud deployment on Render.
AI Resume Screener Web Application
Production multi-agent RAG pipeline using Next.js, TypeScript, Groq LLMs, and dense semantic embeddings for automated resume-to-job matching.
- •Engineered atomic requirement extraction and semantic retrieval to match candidate evidence directly against job criteria.
- •Built deterministic scoring and automated evaluation suites, passing 13/13 unit tests and 10/10 evaluation benchmarks.
CyberSafe AI — Cyberbullying Detection Platform
Privacy-preserving autonomous multi-agent cyberbullying detection and conversational safety support platform powered by RoBERTa and dense RAG.
- •Orchestrated 7-agent autonomous DAG pipeline (Detection, Emotion, Context, Risk, RAG, Explanation, Response) executing with <105ms latency.
- •Integrated fine-tuned RoBERTa sequence inference, MiniLM dense vector RAG across 6 safety domains, and context-aware Copilot chatbot.
Open-Source Contributions
Solving real-world bugs and improving reliability across open-source projects.
Fixed a Guava runtime compatibility issue in Hudi partition-path validation using explicit argument validation. Preserved lazy error-message construction and verified the fix using Guava 14.
Fixed invalid durable-execution suspension with retryable error handling and awaited-operation diagnostics. Preserved checkpoint-token revocation behavior and added regression tests for execution lifecycle and plugin notifications.
Added and registered the v3.2.3.0 banner schema validator for request-body validation.
Technical Skills
Engineering proficiencies spanning AI-assisted workflows, languages, systems, and enterprise stacks
Education
Academic qualifications, university honors, and IEEE international conference research
Achievements & Certifications
Engineering honors, industry hackathon awards, and professional accreditations
Winner — Agentic AI Hackathon
Awarded Winner for architecting an Agentic AI ransomware recovery decision-support system.
Student Intern — Japanese Trainee Program
Software engineering, AI, Agile and PMBOK-based project management.
Student Intern Trainee
React.js, Spring Boot REST APIs and MongoDB integration for an evaluation platform.
Software Testing Certification
Software testing and verification methodologies.
Full Stack Java Development
Core Java, Spring Boot, Hibernate and SQL.
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