Ashis Sharma
Hyderabad
Summary
Goal-oriented professional with extensive experience in diverse settings. Expertise in analyzing project requirements to identify effective solutions. Proven ability to deliver innovative designs under tight schedules and limited budgets, consistently exceeding objectives.
Overview
6
6
years of professional experience
Work History
DevOps Engineer
Jukshio
Hyderabad
06.2020 - Current
- Fine-tuned and deployed large-scale LLMs, such as DeepSeek R1/V1-671B and LLaMA 3 405B, in distributed HPC environments in GPU clusters with approximately 160 A100 devices.
- Designed and executed large-scale inference pipelines for ultra-large models in distributed GPU clusters, achieving low latency and high throughput deployment performance.
- Benchmarked and profiled model performance across multi-node environments to improve training and inference efficiency.
- Kubernetes cluster for Raspberry Pi devices. The setup enables developers to remotely update software on these devices efficiently and reliably. By leveraging Kubernetes, the project ensures scalable, resilient, and automated management of applications across multiple Raspberry Pis, making it an ideal solution for IoT deployments and edge computing scenarios.
- Migration of a workload from Microsoft Azure to Google Cloud Platform (GCP), optimizing resource allocation, and improving overall system performance.
- Coordinated with cross-functional teams to ensure a seamless transition.
- Implemented an end-to-end DevSecOps pipeline to automate the build, test, security scanning, and deployment of a mission-critical web application. Integrated static code analysis, dynamic application security testing, dependency scanning, server scanning, and web security scanning to identify and remediate vulnerabilities across the codebase, dependencies, infrastructure, and application security.
- Designed and implemented scalable CI/CD pipelines using GitLab CI, reducing deployment time by 60%
- Automated infrastructure provisioning with Terraform ensuring consistent and reproducible environments
- Managed container orchestration using Kubernetes and Docker, ensuring seamless application scaling and high availability.
- Implemented robust monitoring and logging solutions with Prometheus, Grafana, Loki and EFK Stack, enhancing system reliability
- Managed the installation of GPU drivers and configured high-performance GPU machines for the efficient training of TensorFlow and PyTorch models.
- Converted requirements into technical specifications through collaboration with product managers and designers.
- Developed SDKs for clients including Jio and HDFC Banks, offering extensive technical integration support.
- Created an internal tool utilizing React and Node.js to improve functionality.
- Maintained company website using modern full-stack technologies to enhance performance.
Test Engineer
Wipro
Chennai
08.2019 - 03.2020
- Design, develop, and maintain automated test scripts using Selenium WebDriver in Java for web-based applications.
- Execute test cases on mainframe systems, and extract logs and reports generated transaction programs.
- Develop Java-based utilities to parse data and generate Excel reports
Education
Bachelor of Science - Information Technology
SRM University Sikkim
Gangtok05.2019
Skills
- Container (Docker, Containerd, Podman)
- Workload Orchestration (Kubernetes, K3s, Slurm, Ray)
- Linux (Ubuntu, Debian, Red Hat, Rocky Linux)
- High Performance Computing (CUDA, NVCC, NCCL, OpenMP, Gloo)
- Inference Engine (SGLang, vLLM, TensorRT), Cloud (Google Cloud and Azure)
- Cloud (Google Cloud and Azure)
- Programming Languages (GoLang, Python, JavaScript, and Bash)
- CI/CD (GitLab CI/CD, GitHub Actions)
- Proxy (Nginx, HAProxy)
- Infrastructure provisioning (Terraform, gcloud, az CLI)
Timeline
DevOps Engineer
Jukshio
06.2020 - Current
Test Engineer
Wipro
08.2019 - 03.2020
Bachelor of Science - Information Technology
SRM University Sikkim
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