Mytresh Ravi — OS Portfolio

about_mytresh.txt

Mytresh Ravi

DevOps · SRE · Cloud Engineer · NJ, USA

Open to Full-Time Roles

99.9%

Uptime · AKS microservices @ Xoriant

60%

Faster CI/CD setup · reusable templates

25%

Cloud cost cut · Azure + AWS

3.87

GPA · Rowan M.S.

DevOps & Site Reliability Engineer with 4.5+ years building and scaling cloud-native platforms across Azure, AWS, and GCP. I automate end-to-end CI/CD (Azure DevOps, GitHub Actions, Jenkins), orchestrate Kubernetes (AKS, EKS), and provision infrastructure as code with Terraform & Bicep. I embed observability (Prometheus, Grafana, Datadog) and DevSecOps into every release — building systems that ship faster, scale reliably, and stay resilient under pressure.

✉ Get in Touch View Work → 📄 Resume

skills.json

Languages

PythonJava SQLBash JavaScriptHTML/CSS

Cloud & DevOps

AWS (EC2, S3, Lambda) Azure Cloud Azure Data Factory Azure Data Lake Gen2 Docker Kubernetes Terraform Ansible CI/CD Pipelines DevSecOps Bicep Azure DevOps

Backend & APIs

FastAPIREST APIs JSON / API Design Microservices

Data & Databases

PostgreSQLMongoDB OracleInfluxDB KafkaMQTT ETL/ELT Pipelines Query Optimization Power BIGrafana ELK Stack

AI / ML & Computer Vision

OpenCVDlib CNNTensorFlow/Keras Transfer Learning (VGG16) RAGLLM Predictive Analytics Anomaly Detection Feature Engineering

Tools & Practices

GitJIRA PostmanPyTest Agile/Scrum LinuxWindows

System Design Data Structures OOP Design Patterns Scalability Clean Code

Core Proficiency

Python / FastAPI95%

Java / Backend Systems90%

AWS / Azure / Cloud85%

Docker / Kubernetes / CI-CD88%

AI / ML / Computer Vision82%

SQL / Databases / ETL87%

experience.log

Xoriant Solutions

Jun 2024 – Feb 2026

Senior Software Engineer · Cloud & DevOps

Designed and implemented end-to-end CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and GitLab CI/CD, enabling faster, more reliable deployments across multi-environment setups.
Automated infrastructure provisioning with Terraform, Bicep, and AWS CloudFormation across Azure and AWS (EC2, S3, IAM, Lambda), improving consistency and reducing configuration drift.
Containerized 10+ microservices with Docker and orchestrated them on Kubernetes (AKS), achieving 99.9% uptime with seamless scaling across dev, staging, and prod.
Optimized Kubernetes workloads across AKS and AWS EKS, improving deployment stability by 35% and reducing pod failure rates.
Embedded observability & SRE with Prometheus, Grafana, and Azure Monitor, and integrated DevSecOps (SonarQube, OWASP) into every pipeline stage.
Engineered reusable pipeline templates onboarding 5+ teams and cutting new pipeline setup time by 60%; reduced cloud spend by 25% via right-sizing and auto-scaling.

Azure DevOpsGitHub ActionsTerraform BicepDockerKubernetes (AKS/EKS) PrometheusGrafanaSonarQubeAWS

Synectiks

Jan 2021 – Nov 2023

Site Reliability Engineer · SRE

Designed and optimized CI/CD pipelines in Azure DevOps, Jenkins, and GitLab CI/CD with Maven-driven builds — reducing deployment time by 40% and improving release reliability by 30%.
Built modular Terraform modules to provision scalable Azure infrastructure (AKS, ACR) with remote state in Azure Storage.
Engineered multi-stage Dockerfiles for Flask, .NET, Java, and Node.js microservices, cutting image size by 45% and streamlining builds to Azure Container Registry.
Deployed containerized workloads on AKS via YAML manifests (Deployments, Services, ConfigMaps, Secrets, Ingress) with auto-scaling, load balancing, and secure HTTPS routing.
Implemented end-to-end observability with Prometheus, Grafana, Azure Monitor, and Log Analytics — reducing incident response time by 50%.
Integrated DevSecOps (SonarQube, vulnerability scanning, Azure Key Vault) into CI/CD and provisioned AWS S3 + Lambda via CloudFormation.

AzureAKSACR TerraformDockerJenkins GitLab CIPrometheusAzure Key VaultAWS

projects/

★ Flagship · End-to-End DevOps · Cloud-Native

Blinkit Microservices Platform

A capstone-grade, cloud-native instant-commerce platform: 7 independent services behind a single Spring Cloud Gateway — six Spring Boot 3 services plus a FastAPI AI-recommendation service, a React 18 frontend, database-per-service Postgres, Redis caching, and a distributed HS512 JWT trust model. The whole stack — 13 containers — boots with a single docker compose up, and is structured for a clean lift onto Azure Kubernetes Service (AKS) with Terraform + Azure DevOps CI/CD.

Services 7 + gateway Containers 13 Postgres 5 DBs Redis cache + rate-limit AI reco · sentence-transformers AKS-ready

⌥ View on GitHub →

Spring Boot 3FastAPIReact 18 DockerKubernetes / AKSRedis PostgreSQLTerraformAzure DevOps Spring Cloud GatewayJWT · HS512Microservices

Rowan University · Jan 2025 – May 2025

Real-Time IoT Environmental Monitoring System

End-to-end telemetry pipeline for continuous monitoring of gas concentration, temperature, and humidity. Secure MQTT → Python → InfluxDB → Grafana stack with sub-second data ingestion. Integrated predictive analytics and alerting for anomaly detection.

Storage −40% Sub-second latency Kafka integration Multi-node sensors

PythonMQTTInfluxDB GrafanaKafkaREST APIs

IEEE Published · SRM University

Driver Drowsiness Detection & Alerting System

Real-time fatigue detection using Eye Aspect Ratio (EAR) tracking via Dlib facial landmark detection and CNN-based feature extraction. Triggers alerts during drowsiness with sub-100ms latency. Validated across diverse lighting and head-movement conditions — deployed as standalone Python app on edge devices.

Accuracy 95%+ Alert latency <100ms Overhead −40% IEEE Published

PythonOpenCVDlib CNNPyTest

Deep Learning · Medical Imaging

COVID-19 Detection from Chest X-Ray Images

Deep learning pipeline using CNN & Transfer Learning (VGG16) to classify chest X-rays. Automated COVID-19 screening across 10,000+ images. Handled class imbalance with weighted loss functions. Ensemble-learning strategies with 97%+ sensitivity to minimize missed diagnoses.

Accuracy 95.5% Sensitivity 97%+ Manual effort −70% 10K+ images

PythonTensorFlow/Keras VGG16CNNOpenCV

Mobile Application · SRM University

Car Pooling Application

Technology platform consolidating carpooling within a broader multi-modal transport ecosystem. Built to reduce transportation costs by up to 50% through shared rides — with a focus on social and environmental impact.

Cost savings ≥50%

Android DevelopmentReact.js

AI · Computer Vision · SRM University

Volume Control with Hand Gesture Detection

Hand boundary detection using MediaPipe library achieving 97.8% accuracy. Uses thumb-index finger distance gestures to increase or decrease device volume — touchless human-computer interaction on edge devices.

Gesture accuracy 97.8%

PythonMediaPipeAI

Web Application · SRM University

Secure Instant Messenger (SIM)

Chat server for a LAN enabling all clients to send and receive messages. Used multi-threading to create individual client processes with socket connections for peer-to-peer communication via server.

PHPPhpMyAdmin HTMLSocketsMulti-threading

licenses_and_certs.db

Introduction to Model Context Protocol (MCP)

Anthropic

Jun 2026

AI Fluency: Framework & Foundations

Anthropic

Jun 2026

Claude 101

Anthropic

Jun 2026

Introduction to Agent Skills

Anthropic

Jun 2026

DevOps

TestDome

Jun 2026

Generative AI Fundamentals

Databricks

Jun 2025

AWS Essential Training for Developers

Mar 2025

Ethical Hacking: Hacking IoT Devices

Feb 2025

Python Essential Training

Feb 2025

NCL Spring 2024 Individual Game

Cyber Skyline

2024

An Improved Driver Drowsiness Detection using Haar Cascade Classifier

IEEE — Published Research

Apr 2023

AWS Cloud Practitioner Essentials

Amazon Web Services

Aug 2021

Linux Server Management and Security

Coursera

Dec 2021

Introduction to Cloud Computing (IBM)

Coursera

Oct 2021

C Programming Course (Hands-On)

SkillRack

Nov 2021

Building Web Applications in PHP

Coursera

Sep 2021

Problem Solving (Basic)

HackerRank

Aug 2021

Python (Basic) Certificate

HackerRank

Aug 2021

MTA: Introduction to Programming Using Python

Microsoft

Apr 2020

education.yaml

Master of Science · Computer Science

Rowan University

New Jersey, USA · Currently Enrolled

GPA: 3.87 / 4.0

Bachelor of Technology · Computer Science

SRM Institute of Science & Technology

Chennai, India

GPA: 8.71 / 10

IEEE Published Researcher

Driver Drowsiness Detection

Using Haar Cascade Classifier · Apr 2023

contact.sh

Let's work
together.

Open to full-time software engineering roles in backend development, cloud infrastructure, and data engineering. Based in New Jersey — available for remote or hybrid opportunities.

✉

Email

mytresh1984@outlook.com Copy

→

☏

Phone

+1 (415) 548-1655 Copy

→

in

linkedin.com/in/ravim3274

→

→

→

bash — mytresh@portfolio

mytresh@portfolio:~$ whoami

Mytresh Ravi — DevOps & Site Reliability Engineer

mytresh@portfolio:~$ cat summary.txt

DevOps & SRE with 4.5+ years · Cloud-native platforms

Xoriant Solutions · Synectiks · Azure / AWS / GCP

M.S. Computer Science @ Rowan University (GPA: 3.87)

mytresh@portfolio:~$ ls skills/

python/ java/ fastapi/ docker/

kubernetes/ aws/ azure/ ci-cd/

postgresql/ kafka/ opencv/ tensorflow/

mytresh@portfolio:~$ git log --oneline --top-achievements

a3f9b2c 99.9% uptime — 10+ microservices on AKS

d8c1e4f 60% faster CI/CD — reusable pipeline templates

7b2a9d1 25% cloud cost cut — Azure + AWS right-sizing

c4e8f3a 50% faster incident response — Prometheus/Grafana

9f1b3e7 IEEE Published — Drowsiness Detection

mytresh@portfolio:~$ echo $STATUS

✓ Open to full-time opportunities — NJ/Remote

Type help for commands.

mytresh@portfolio:~$

Mytresh_Ravi_SE.pdf

📄

Mytresh Ravi

DEVOPS · SRE · CLOUD ENGINEER

✓ 4.5+ years DevOps, SRE & Cloud engineering

✓ Xoriant Solutions · Synectiks

✓ CI/CD · Kubernetes (AKS/EKS) · Docker · Terraform

✓ Azure · AWS · GCP · Observability · DevSecOps

✓ IEEE Published Researcher

✓ Rowan University M.S. CS (GPA 3.87)

⬇ Download Resume (PDF)

Also available at: mytresh1984@outlook.com

tech_stack.png

Tech Stack — Icon Board

Python

Java

FastAPI

Docker

K8s

AWS

Azure

Postgres

MongoDB

TensorFlow

OpenCV

Git

Linux

Terraform

Grafana

Kafka

React

Bash

$ Specialties: Backend Engineering · DevOps · Cloud Infrastructure · Real-Time Systems · AI/ML · IoT · Data Pipelines

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