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Mytresh Ravi
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PYTHON · FASTAPI · JAVA
AWS · AZURE · DOCKER · K8S
CI/CD · DEVOPS · SRE
LANGCHAIN · LANGGRAPH · MCP
IEEE PUBLISHED RESEARCHER
ROWAN UNIVERSITY · GPA 3.87
about_mytresh.txt
Mytresh Ravi
Mytresh Ravi
Software · DevOps · Cloud Engineer · NJ, USA
Open to Full-Time Roles
99.9%
Uptime · AKS microservices @ Xoriant
60%
Faster CI/CD setup · reusable templates
45%
Faster incident response · Prometheus + Grafana
3.87
GPA · Rowan M.S.
Software & DevOps engineer with 5 years building cloud systems on Azure and AWS. I write the services, containerize them, and automate the path to production with CI/CD, Terraform, Docker, and Kubernetes — delivering 99.9%+ uptime and cutting deployment time 40–60%. Strong on observability with Prometheus and Grafana, and on security checks built into the pipeline. Currently building agentic tooling with LangChain, LangGraph, and MCP, applying the same delivery discipline to AI systems.
✉ Get in Touch View Work → 📄 Resume
skills.json
Languages
PythonJava SQLPL/SQL BashPowerShell 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 CloudFormation Azure DevOps GitHub Actions Jenkins Helm Istio ArgoCD GitOps Blue-Green / Canary
AI & Agentic Tooling
LangChainLangGraph MCP (Model Context Protocol) AI AgentsChromaDB OpenAI APIRedis
Security & DevSecOps
Azure Key VaultAWS IAM Azure RBACManaged Identity SonarQubeOWASP HashiCorp VaultTrivy Snyk
Backend & APIs
FastAPIREST APIs JSON / API Design Microservices
Data & Databases
PostgreSQLMongoDB OracleInfluxDB KafkaMQTT ETL/ELT Pipelines Query Optimization Power BIGrafana ELK Stack Azure Data Factory Microsoft Fabric Delta Lake OpenTelemetry Datadog
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%
Agentic Tooling (LangChain / MCP)78%
SQL / Databases / ETL87%
experience.log
Xoriant Solutions
Jun 2024 – Feb 2026
Senior Software Engineer · Cloud & DevOps
  • Built and shipped Python/FastAPI backend services with validated request handling, structured exception responses, and service-to-service auth — owning them from first endpoint through deployment and on-call.
  • Ran 15+ backend microservices in production on Kubernetes (AKS/EKS) at 99.9% availability, owning Deployments, Services, Ingress, health checks, and autoscaling across dev, staging, and prod.
  • Consolidated four CI/CD stacks (Azure DevOps, GitHub Actions, Jenkins, GitLab CI) behind reusable templates with JFrog Artifactory, automating Maven, Python, and .NET builds.
  • Cut incident response time 45% by instrumenting APIs with Prometheus, Grafana, and Azure Monitor, and rebuilding alert routing around real failure signals instead of noise.
  • Eliminated 40% of manual production intervention with Python and Bash tooling for deployment, rollback, and alerting workflows.
  • Codified Azure and AWS environments in Terraform, Bicep, and CloudFormation, ending config drift between staging and production and making full environment rebuilds repeatable.
  • Integrated Snyk, SonarQube, and OWASP scanning into CI/CD to catch dependency and code vulnerabilities early, reducing release risk.
  • Engineered reusable pipeline templates and standardized release management, onboarding 5+ teams and cutting new pipeline setup time by 60%.
  • Optimized Kubernetes workloads on AKS and EKS, improving deployment stability by 35% and reducing pod failure rates by 25%.
  • Moved application secrets out of pipeline variables into Azure Key Vault with managed identities, removing hardcoded credentials from 5+ repos and cutting rotation from a manual ticket to a config change.
Python / FastAPIAzure DevOpsGitHub Actions JenkinsGitLab CITerraform BicepCloudFormationDocker Kubernetes (AKS/EKS)PrometheusGrafana SnykSonarQubeKey VaultJFrog
Synectiks
Jan 2021 – Nov 2023
Site Reliability Engineer · SRE
  • Cut deployment time 40% and improved release reliability 30% by redesigning CI/CD pipelines across Azure DevOps, Jenkins, and GitLab CI with Maven builds and multi-environment promotion.
  • Supported backend services and REST/SOAP API integrations across Flask, .NET, Java, and Node.js applications — request/response flows, validation, and error handling.
  • Supported ETL/ELT workflows moving application data between systems, including extraction, transformation, and load steps plus failure triage when jobs broke.
  • Wrote and tuned SQL and PL/SQL against application databases, supporting data cleansing, scheduled refreshes, and query performance fixes.
  • Parsed and validated JSON, XML, and flat-file payloads in integration workflows, implementing schema checks and error handling for batch and real-time exchanges.
  • Worked with Kafka producers and consumers for async messaging between distributed services, and reduced cloud spend through Python and Bash automation for autoscaling and orphaned-resource cleanup.
  • Engineered multi-stage Dockerfiles for Flask, .NET, Java, and Node.js microservices, cutting image size 45% and streamlining publishing to Azure Container Registry.
  • Deployed containerized workloads on AKS through YAML manifests (Deployments, Services, ConfigMaps, Secrets, Ingress) with autoscaling, load balancing, and HTTPS routing.
  • Provisioned Azure IaaS (VMs, VNets, NSGs, internal load balancers, VNet peering) and cut incident response time 50% with end-to-end observability across Prometheus, Grafana, Azure Monitor, and Log Analytics.
  • Built modular Terraform to provision Azure environments including AKS and ACR, with remote state in Azure Storage.
AzureAKSACR TerraformDockerJenkins GitLab CIKafkaREST / SOAP ETL / ELTPL/SQLPrometheusLog Analytics
projects/
UPCOMING · IN BUILD
SAGE — your meeting & career copilot
An AI agent that sits beside you in meetings and turns what was said into what you do next. SAGE listens, keeps the thread, and writes up decisions and action items — then uses that same understanding of your work to tailor your resume to each role you apply for, pulling the right projects and wording from what you've actually shipped. Built on the agentic stack: LangChain, LangGraph & MCP, with retrieval over your own history.
Live meeting capture — notes, decisions and owners, written as the call happens.
Resume tailoring — rewrites your resume per job description, grounded in your real work.
Memory that carries — retrieval over past meetings, projects and shipped outcomes.
MCP-native — plugs into calendars, docs and trackers as tools, not scrapers.
LangChain + LangGraph MCP tool layer ChromaDB retrieval FastAPI backend
BUILD PROGRESSEARLY · STAY TUNED
LangChainLangGraphMCP ChromaDBOpenAI APIFastAPI RedisPython
★ 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
LinkedIn
Mar 2025
Ethical Hacking: Hacking IoT Devices
LinkedIn
Feb 2025
Python Essential Training
LinkedIn
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
Rowan University
Bachelor of Technology · Computer Science
SRM Institute of Science & Technology
Chennai, India
GPA: 8.71 / 10
SRM Institute of Science & Technology
IEEE Published Researcher
Driver Drowsiness Detection
Using Haar Cascade Classifier · Apr 2023
contact.sh

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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.

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mytresh1984@outlook.com Copy
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linkedin.com/in/ravim3274
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GitHub
github.com/MytreshR
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Portfolio
mytreshravi.xyz
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bash — mytresh@portfolio
mytresh@portfolio:~$ whoami
Mytresh Ravi — DevOps & Site Reliability Engineer
 
mytresh@portfolio:~$ cat summary.txt
Software & DevOps engineer · 5 years · Cloud systems
Xoriant Solutions · Synectiks · Azure / AWS / Kubernetes
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% availability — 15+ microservices on AKS/EKS
d8c1e4f 60% faster CI/CD — reusable pipeline templates
7b2a9d1 45% faster incidents — Prometheus + Grafana
c4e8f3a 40% less manual ops — Python + Bash automation
9f1b3e7 IEEE Published — Drowsiness Detection
 
mytresh@portfolio:~$ echo $STATUS
✓ Open to full-time opportunities — NJ/Remote
 
Type help for commands.
mytresh@portfolio:~$
MytreshRavi-Resume.pdf
📄
Mytresh Ravi
SOFTWARE · DEVOPS · CLOUD ENGINEER
✓ 5 years Software, DevOps & Cloud engineering
✓ Xoriant Solutions · Synectiks
✓ CI/CD · Kubernetes (AKS/EKS) · Docker · Terraform
✓ Azure · AWS · Observability · DevSecOps
✓ Agentic tooling — LangChain · LangGraph · MCP
✓ IEEE Published Researcher
✓ Rowan University M.S. CS (GPA 3.87)
⬇ Download Resume (PDF)
Also available at: mytresh1984@outlook.com
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