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HarshaKumarKuna

Software Engineer • Fort Wayne, Indiana • h***************@gmail.com • +12******961 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Backend Software Engineer with 4+ years of experience designing and delivering cloud-native, event-driven microservices and scalable web applications for finance, trading and legal‑tech domains. Skilled in Java, Spring Boot, Spring WebFlux, Kafka and AWS serverless patterns to build reliable APIs, data pipelines and integrations that reduce latency and improve operational reliability.

Technical Skills

Programming Language: Java,Python,JavaScript,SQL,Reactive Programming
Frontend Technologies: CSS,React,Next.js,HTML5,Microservices
Backend Technologies: Spring Boot,Spring WebFlux,Flask,Node.js
Databases: Amazon DynamoDB,PostgreSQL
Cloud Platforms: Amazon Web Services,Lambda,EventBridge,Google Cloud Platform
Version Control & Development Tools: GitHub,Git
DevOps & Infrastructure: Docker,Continuous Integration,Continuous Deployment
Testing & QA: JUnit,Mockito,Unit Testing,Integration Testing
API & Integrations: RESTful APIs,GraphQL,Agile
Messaging & Monitoring: Datadog,Apache Kafka
Data Analysis & Visualization: Pandas,NumPy,Rank-BM25
AI/ML Frameworks & Libraries: scikit-learn,NLTK,XGBoost,Transformer,OAuth 2.0

Work Experience

LegalityIQ
Fort Wayne, Indiana
Software Engineer Intern
Dec 2025 – Apr 2026
Legal‑tech startup building law/legislation data products; contributed to customer checkout flows, data synchronization and serverless legal-data pipelines on AWS.
Tech Stack: React, Python, TypeScript, REST API, GraphQL, AWS Lambda, AWS EventBridge, DynamoDB, Datadog
  • Developed customer-facing checkout and data-sync features using React, Python/TypeScript, REST and GraphQL, reducing sync time by 30% and API error rate by 25%.
  • Engineered a serverless legal-data pipeline using AWS Lambda, EventBridge and DynamoDB to automate daily web scraping and persist updated laws for downstream consumers.
  • Instrumented APIs with Datadog to diagnose integration failures and implemented fixes that reduced production incidents by 40%.
  • Improved API reliability and security by adding input validation and standardized error handling across services, raising overall API stability.
  • Led functional and integration testing cycles to identify and resolve critical defects prior to release, shortening regression cycles and improving release quality.
  • Mentored a junior engineer on API design and code review standards, standardizing review checklists and accelerating onboarding.
Ionixx Technologies
Chennai, India
Software Engineer
Sep 2021 – Jul 2024
Software engineering role delivering event-driven solutions for inventory, settlement and crypto/finance workflows at a technology services firm supporting trading and fintech clients.
Tech Stack: Java, Spring Boot, Spring WebFlux, Reactive Programming, Kafka, OAuth, CI, CD, Load Balancing
  • Designed and implemented an event-driven inventory management system using Spring WebFlux and Reactive Programming to handle fractional quantities, reducing inventory discrepancies by 40% and improving order accuracy by 55%.
  • Optimized settlement workflows, automating manual steps and cutting end-to-end processing time by 60%, reducing manual intervention from 4 hours to 1.5 hours.
  • Developed Kafka-based microservices to decouple services and streamline inter-service messaging, lowering single-service load by 40% and improving throughput.
  • Reduced crypto transaction latency from ~10s to ~6s by applying reactive backpressure strategies and optimizing request handling paths in WebFlux.
  • Led performance troubleshooting and introduced load-balancing changes that increased application load capacity by 40% under peak traffic.
  • Implemented multi-factor authentication using OAuth tokens, improving authentication security by 20%; promoted CI/CD and code-review best practices across the team.

Projects

Delivery Management System
Tools Used: Next.js, React, Node.js, Java Spring Boot, PostgreSQL
  • Engineered a full-stack SaaS logistics application with a responsive React/Next.js frontend and Java/Flask backend, streamlining delivery checkout and improving order processing time by 30%.
  • Designed backend APIs and database schemas to support scalable checkout workflows and integrated role-based access for customer and operator flows.
  • Published an international paper on the application at ICTIS 2022, detailing system design and performance results.
Legal Document Q&A System
Tools Used: Python, Pandas, NumPy, NLTK, scikit-learn, XGBoost, Rank-BM25, Transformers
  • Built an end-to-end AI pipeline for legal document retrieval using semantic vector search (sentence-transformers), BM25 and TF‑IDF ranking across 30,000+ clauses, improving retrieval relevance by 20%.
  • Trained an XGBoost classifier to categorize document clauses into structural headings with 85%+ accuracy, providing semantic priors to improve LLM query understanding.
  • Integrated ranking and retrieval outputs to provide a Q&A interface that enhanced developer and legal analyst productivity for document search tasks.

Education

Purdue University - Fort Wayne
Master of Science in Computer Science (GPA: 3.90) • Fort Wayne, Indiana • August 2024 – May 2026

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