Vinayak Gobbi

M.Tech | Cloud & DevOps Engineering | Kubernetes • Azure • AI/ML | Open to Internships

Bengaluru, Karnataka, India

vinayaksgobbi@gmail.com

About

I'm an M.Tech student specializing in Digital Communication & Networking at REVA University, Bengaluru, with a strong interest in Cloud Computing, DevOps, Artificial Intelligence, and emerging technologies. I'm currently learning and developing my skills in Python, Docker, Kubernetes, Microsoft Azure, CI/CD, and AI/ML. I'm particularly interested in understanding how cloud infrastructure, automation, and AI work together to build reliable and intelligent systems. As part of my academic journey, I'm exploring research and projects related to cloud computing, workload optimization, and AI-powered infrastructure. I'm attending DevFest Hyderabad 2026 to gain practical knowledge, learn from industry experts, connect with the developer community, and understand the skills needed to grow into a Cloud or DevOps Engineer. I'm open to learning opportunities, internships, mentorship, research collaborations, and connecting with people who share similar interests.

Skills

Python

Docker

Kubernetes

CI/CD

Gemini

PyTorch

Experience

Embedded Systems Intern

Take It Smart (OPC) Pvt Ltd

Sept 2023 to Oct 2023

Built a password-authenticated access-control prototype with Arduino Uno, a 4x4 keypad, a servo motor and an LCD, programmed in Embedded C. It passed 50+ authentication cycles with 100% observed accuracy.

Projects

CloudOps Health Dashboard (2026)

A Flask health dashboard with a /health API, containerized with Docker and served by Gunicorn. A GitHub Actions pipeline runs Pytest, builds the image, pushes it to Azure Container Registry and deploys to Azure Container Apps. It uses secretless OIDC login and Managed Identity AcrPull RBAC, and is served over HTTPS. Tech: Python, Flask, Docker, GitHub Actions, Azure, OIDC, RBAC

Python

Flask

Docker

GitHub Actions

Azure

OIDC

RBAC

LLM Sycophancy Benchmark (2026)

An open-source benchmark of 52 questions across 7 categories testing whether Llama 3.1-8B caves to pushback. Authority-based pressure flipped 1.9% of answers, against 0% for normal pushback.

Python

Groq API

Llama 3.1-8B

Solar Tracking & Automatic Sprinkler System (2024)

A dual-axis solar tracker using LDR sensors and servo motors, plus soil-moisture-based automatic irrigation.

LDR Sensors

Servo Motors

Soil Moisture Sensor

Education

M.Tech, Digital Communication & Networking

Reva University · 9.5 CGPA in Semesters 1 and 2

Oct 2025 to Aug 2027