J

Jagadeesh Krishna Nunna

Full Stack Engineer

Pittsburgh, Pennsylvania, United States3 yrs 3 mos experience

Key Highlights

  • Expert in designing scalable AI/ML solutions.
  • Proven track record in cloud-native microservices.
  • Strong background in healthcare and fintech applications.
Stackforce AI infers this person is a skilled AI/ML engineer with expertise in fintech and healthcare applications.

Contact

Skills

Core Skills

JavaSpring BootReact.jsPythonApache Flink

Other Skills

AWSAmazon S3AngularApache KafkaArtificial Neural NetworksAttention ModelsAzureBackpropagationBatchNormC#Cascading Style Sheets (CSS)Convolutional Neural Networks (CNN)Decision-MakingDeep LearningDropout

About

I am a recent graduate with a Master’s in Computer Science from the University of Missouri Kansas City (2023–2024), deeply passionate about Artificial Intelligence and Machine Learning. With over 3 years of experience in AI/ML, I specialize in designing and deploying scalable machine learning models, optimizing deep learning architectures, and exploring innovative techniques like Generative AI and Deep Learning. I’m passionate about solving complex problems with AI and am constantly exploring cutting-edge technologies to push the boundaries of what’s possible. My goal is to contribute to impactful projects in Generative AI, and deep learning. Let’s connect to discuss opportunities, collaborations, or the latest advancements in AI/ML.

Experience

3 yrs 3 mos
Total Experience
1 yr 10 mos
Average Tenure
1 yr 5 mos
Current Experience

Valiant tek group, inc.

Java Full Stack Developer

Jan 2025Present · 1 yr 5 mos · United States · Remote

  • 𝐏𝐰𝐂 – 𝐍𝐘 | 𝐌𝐚𝐲 𝟐𝟎𝟐𝟓 – 𝐏𝐫𝐞𝐬𝐞𝐧𝐭
  • Developed a tax compliance platform serving multinational clients, automating calculations and reducing manual processing time by 40%.
  • Built a Spring Boot–based workflow engine supporting complex approval chains and regulatory compliance, cutting turnaround times from weeks to days.
  • Designed and deployed cloud-native microservices (Java 17, Spring Boot 3, Kafka, GraphQL, GCP), ensuring scalability and reliability across global deployments.
  • Developed React- and Angular-based dashboards for real-time financial analytics and compliance tracking, enhancing client visibility and reporting efficiency.
  • Architected secure multi-tenant tax documentation systems with e-signature, audit trails, and SOX-compliant document management.
  • Led cloud migration to GCP, leveraging GKE, Pub/Sub, and Terraform, improving infrastructure reliability and deployment automation.
  • Implemented observability pipelines with Prometheus, Grafana, and Splunk, improving issue detection and system uptime.
  • Championed frontend modernization (React 19 + Angular 19) with modular design patterns and component libraries to improve scalability and consistency.
  • 𝐂𝐢𝐠𝐧𝐚 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 - 𝐀𝐙 | 𝐉𝐚𝐧 𝟐𝟎𝟐𝟓 – 𝐌𝐚𝐲 𝟐𝟎𝟐𝟓
  • Developed scalable healthcare web apps using React.js, Redux Toolkit, and Spring Boot, improving front-end performance by 30%.
  • Built secure REST APIs (Spring Security, OAuth2, JWT) ensuring HIPAA compliance and safe patient data access.
  • Integrated FHIR APIs for interoperability between healthcare systems, streamlining patient onboarding and lab result sharing.
  • Implemented Kafka-driven microservices to handle claim validations and clinical notifications in real time.
  • Automated cloud infrastructure via Terraform on AWS (EC2, Lambda, S3) and deployed microservices with Docker and Kubernetes.
  • Enhanced reliability through TDD and CI/CD, achieving 90%+ test coverage and reducing production defects.
JavaSpring BootKafkaGraphQLGCPReact+5

Brane group

Software Engineer-AI

Mar 2021Jan 2023 · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

  • Developed ML service APIs and batch inference systems using Python and Java.
  • Maintained a model registry and tracking system with MLflow and W&B.
  • Automated infrastructure provisioning using Terraform on AWS and Azure.
  • Set up model testing and regression pipelines for release validation using CI/CD pipelines.
  • Built a notification system for the Camunda Workflow Engine using Java Spring, enabling automated email alerts and
  • WhatsApp notifications via Twilio APIs.
  • Developed a real-time stream processing engine with Apache Flink and Kafka Streams, ensuring seamless data ingestion,
  • transformation, and storage.
  • Designed a search and retrieval system for streaming data using Druid and Elasticsearch, making it easier to query and
  • analyze data.
  • Improved storage efficiency by optimizing Amazon S3 with Delta Lakes, implementing automated compression via cron
  • jobs to cut down storage costs.
  • Automated AWS EKS cluster management with Cross plane and Argo CD, allowing Git-based infrastructure updates.
  • Contributed to a personal AI assistant, writing Python scripts to automate Jira ticket management and task tracking,
  • boosting team productivity.
  • Assisted AI/ML teams with data preparation, Hyperparameter tuning and experimenting the different architectures of DNN
  • and CNN.
  • Contributed to Security team to access the security and identify the vulnerabilities of the products running both on
  • premise and AWS cloud.
  • Contributed to quality assurance team in writing test cases scripts for API and UI testing automation.
PythonJavaTerraformAWSAzureApache Flink+3

Education

University of Missouri-Kansas City

Master of Science - MS — Computer Science

Jan 2023Dec 2024

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