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I am a Full-Stack Java Developer with over 4 years of experience designing and delivering scalable web applications and microservices specializing in Finance and Healthcare. I excel at integrating large language models and OpenAI APIs and setting up CI/CD pipelines to automate processes and minimize operational time. Currently, I engineer production-grade microservices using modern Java technologies, streamline CI/CD automation, and lead architectural review strategy initiatives while mentoring developers and influencing infrastructure planning. I am passionate about creating impactful software solutions that optimize workflows and reduce review and cycle times.…I am a Full-Stack Java Developer with over 4 years of experience designing and delivering scalable web applications and microservices specializing in Finance and Healthcare. I excel at integrating large language models and OpenAI APIs and setting up CI/CD pipelines to automate processes and minimize operational time. Currently, I engineer production-grade microservices using modern Java technologies, streamline CI/CD automation, and lead architectural review strategy initiatives while mentoring developers and influencing infrastructure planning. I am passionate about creating impactful software solutions that optimize workflows and reduce review and cycle times.

Kanksha Reddy Vontela

Full Stack Developer, Developer, Programmer, +2

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I am a Full-Stack Java Developer with over 4 years of experience designing and delivering scalable web applications and microservices specializing in Finance and Healthcare. I excel at integrating large language models and OpenAI APIs and setting up CI/CD pipelines to automate processes and minimize operational time. Currently, I engineer production-grade microservices using modern Java technologies, streamline CI/CD automation, and lead architectural review strategy initiatives while mentoring developers and influencing infrastructure planning. I am passionate about creating impactful software solutions that optimize workflows and reduce review and cycle times.…I am a Full-Stack Java Developer with over 4 years of experience designing and delivering scalable web applications and microservices specializing in Finance and Healthcare. I excel at integrating large language models and OpenAI APIs and setting up CI/CD pipelines to automate processes and minimize operational time. Currently, I engineer production-grade microservices using modern Java technologies, streamline CI/CD automation, and lead architectural review strategy initiatives while mentoring developers and influencing infrastructure planning. I am passionate about creating impactful software solutions that optimize workflows and reduce review and cycle times.

Available to hire

I am a Full-Stack Java Developer with over 4 years of experience designing and delivering scalable web applications and microservices specializing in Finance and Healthcare. I excel at integrating large language models and OpenAI APIs and setting up CI/CD pipelines to automate processes and minimize operational time.

Currently, I engineer production-grade microservices using modern Java technologies, streamline CI/CD automation, and lead architectural review strategy initiatives while mentoring developers and influencing infrastructure planning. I am passionate about creating impactful software solutions that optimize workflows and reduce review and cycle times.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Advanced

Work Experience

Software Developer at McKinsey & Company

July 1, 2024 - Present

Engineered production-grade microservices using Java 17, Spring Boot, and PostgreSQL, integrating RESTful APIs with Prometheus and Grafana to reduce daily sync time by 19 hours across five global platforms. Streamlined CI/CD automation using GitLab, Docker, and Terraform with embedded scans and rollback logic, reducing release cycles by 3.5 hours. Designed an LLM-powered parser integrating OpenAI APIs, scikit-learn, and LangChain to extract insights from 12,000+ documents, reducing legal review time by 11 days per quarter. Led architecture reviews for monolith-to-Kubernetes migration strategy and introduced Helm for reproducible deployments while mentoring two developers and influencing infrastructure planning across two core units.

Student Assistant at ITS, Auburn University

May 1, 2024 - August 18, 2025

Created internal tools using Java, Spring Boot, and SQL Server to automate asset tracking, cutting reconciliation time by 61 hours during semester-end evaluations. Integrated an AI-powered chatbot using OpenAI GPT-4 APIs, LangChain, and Python to automatically classify tickets and reduce triage time from 18 minutes to under 5, improving team communication. Facilitated a shift to Azure Intune for desktop management across seven departments, reducing misconfigurations through collaboration with system admins and architecture input.

Software Developer at NTT DATA

December 1, 2022 - August 18, 2025

Built Java Spring Boot microservices with RESTful APIs and Oracle DB handling over 750K monthly transactions, reducing response latency by 120 milliseconds through tuning and QA support. Implemented CI/CD pipelines using Jenkins, Docker, and Bitbucket with auto test coverage and environment setup, decreasing deployment failures from 14 to 3 per quarter. Resolved concurrency issues in multi-threaded Java apps using ExecutorService and synchronized blocks to reduce production incidents by 37 and support stable cross-team releases. Developed an AI tagging module using LLMs, spaCy, and Apache OpenNLP in Spring Boot backend, saving 92 hours per month and standardizing document metadata. Partnered with architects and analysts to enforce RBAC using Spring Security, JWT, and Keycloak achieving audit-compliant delivery across three stakeholder sessions.

Java Developer at Trigent Software

December 1, 2020 - August 18, 2025

Devised backend APIs using Java, Spring Boot, and PostgreSQL using modular controllers to reduce latency by 180 milliseconds on four high-traffic endpoints with cross-team coordination. Optimized React.js and Java full-stack modules using JWT auth and REST integration to fix 47 UI bugs and improve onboarding for 1200+ enterprise users based on user feedback. Championed an ML-based predictive engine using TensorFlow in Spring Boot to forecast churn trends, reducing flagged user drop-offs by 326 monthly through stakeholder collaboration.