Aditya G. Email & Phone Number

Engineering leader with expertise in infrastructure, AI, DevOps, software development, systems testing(QA) and solutions architecture.Hands on experience in building scalable distributed systems and working on solutions delivery for both cloud-native and on-premises infrastructure, specializing in cybersecurity (including SIEM and SOAR frameworks), AI, DevOps, virtualization, databases, scalable and distributed systems, and Flash storage.** Expertise**- ** Platforms & Container Orchestration**: Proficient in AWS, Azure, Docker, Kubernetes, and CI/CD pipelines. Experienced in developing resilient applications and scalable architectures for cloud-native and hybrid platforms.- **Agile Leadership**: Proven ability to coach teams, delivering high-quality products and solutions.-**Test Architecture**: Expertise in designing comprehensive test architectures, including test automation frameworks and system testing strategies, ensuring robust software quality and performance.-**Build and Release**:Built a release pipeline for production-ready platform engineering using best practices and tools in MLOps and DevOps..- **AI & Machine Learning**: Hands-on experience with developing solutions using LLMs and vision models, including LLaMA3, GPT-4, Video-LLaMA, Video-Llava, and BERT.Proficient in vector databases like Milvus, LanceDB, pgvector, Qdrant, and Kdb+.Skilled in building multimodal RAGs for fintech, biotech, and video intelligence, with expertise in model fine-tuning using Weights & Biases and managing the deployment MLOps lifecycle (Nvidia Triton, ONNX, and Run.AI)- ** Storage & Server Infrastructure**: Experienced in building server, virtualization, and storage solutions, with experience in backup and recovery (Commvault, Veeam, PPDM, Data Domain). Skilled in OpenShift and VMware infrastructure virtualization. Knowledgeable in NVMeOF, Fibre Channel, iSCSI, and TCP/IP protocols, with expertise in block, file, and object storage, including SAN and NAS architecture's.Technical Stack:- **Cloud**: AWS, Azure, Google Cloud.- **Programming **: Python, Ruby, Go, Shell, Rust and C++.- **Infra Automation**: Ansible, Jenkins, kubespray (k8s deployment).- **Databases**: Milvus, LanceDB, pgvector, Qdrant, Elastic, MongoDB, PostgreSQL, MySQL.-**Test Automation**: Architect and Develop QA automation frameworks(PyTest, Robot Framework, TestNG, Locust, JMeter, VectorDBbench, VDbench, Appium, Selenium, etc.- **Observability & Logging**: Grafana, Kibana,Intersight, Prometheus, ELK,Nagios.- **Data Streaming **: Kafka, Apache Pulsar

Listed skills include Perl, Linux, Unix, Software Development, and 41 others.