Divesh Kumar
Solution Engineer • DevOps • Kubernetes • Full-stack

Building reliable cloud platforms, delivery systems, and scalable products

I am Divesh Kumar, a Solution Engineer with 4+ years of experience across multi-cloud delivery, DevOps, backend engineering, and platform reliability. My work spans Kubernetes platforms, CI/CD automation, serverless systems, full-stack product development, and cloud-agnostic ML infrastructure across AWS, Azure, and GCP.

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Bihar, India diveshspur@gmail.com +91 76671 80078
4+
Years Experience
Multi-Cloud
Platform Delivery
AWS, Azure, GCP, Terraform, CI/CD
Kubernetes
Security & Reliability
Helm, observability, CloudTrail, production response

About

My profile combines solution engineering, DevOps ownership, and hands-on product delivery. I work comfortably across backend systems, deployment automation, client-facing technical discussions, and platform operations, helping teams move from idea to production with cleaner architecture and stronger reliability.

What I Deliver

Cloud-native platforms, CI/CD pipelines, backend services, Kubernetes deployments, and production support for systems that need to be scalable, auditable, and deployment-ready.

How I Work

I focus on repeatable delivery: infrastructure as code, monitored rollouts, secure configurations, and engineering decisions that reduce manual effort while improving production confidence.

Highlights

AWS incident remediation, Helm-based Kubernetes delivery, cloud-agnostic ML framework work, 100+ API development, and full-stack product engineering with React, Node.js, FastAPI, and Flask.

Core Strengths

The areas where I add the most value, based directly on my recent work across Innovatics and Razor Edge.

Cloud & DevOps Delivery

Infrastructure, automation, and release systems for dependable delivery.

  • Terraform, Jenkins, Bitbucket Pipelines, GitHub Actions, Azure DevOps
  • AWS, Azure, GCP, ECS, Lambda, Kubernetes, Docker
  • CloudWatch, Prometheus, alerting, rollout stability, incident support

ML Platform Engineering

Low-code ML systems with deployment, governance, and cloud flexibility.

  • ML-Studio delivery across AWS, Azure, and GCP
  • AutoML, preprocessing, audit trail, compliance reporting
  • API security, endpoint customization, monitoring, RBI-aligned workflows

CI/CD & Automation

Reducing manual deployment work and improving release consistency.

  • Frontend and backend pipeline design for client projects
  • Staging and production automation with Terraform + Jenkins
  • Migration of legacy deployment workflows to faster, more reliable pipelines

Legacy Modernization

Moving aging systems toward maintainable cloud-native architecture.

  • Ruby to Python migration for a 9-database backend
  • AWS Lambda-based serverless execution
  • Reduced technical debt and improved production readiness

Security & Compliance

Security response and governance embedded into real delivery work.

  • AWS access key incident remediation and CloudTrail investigation
  • IAM policies, security groups, key-based API access
  • Audit trail, audit reporting, and compliance workflows

Full-Stack Product Support

Product engineering that connects backend, frontend, and operations.

  • React, Next.js, Node.js, Flask, FastAPI, MongoDB
  • 100+ REST APIs for financial and platform workflows
  • AI-powered analytics and support automation with ChatGPT integration
Contact me View resume

Skills

A hands-on stack built through delivery work across platform engineering, DevOps, and product development.

Cloud & DevOps

AWS (ECS, EC2, S3, Lambda, IAM) Azure GCP Docker Kubernetes Terraform Ansible Jenkins GitHub Actions Bitbucket Pipelines

MLOps & Data

AutoML Feature Engineering PySpark Data Pipelines Pipelines Monitoring Model Versioning

Backend

Python FastAPI Flask Django Node.js REST APIs Auth (API Keys)

Frontend

React.js Next.js Responsive UI Charts

Security & Compliance

IAM Least Privilege RBI Compliance Audit Trails Security Groups CloudTrail

Databases

PostgreSQL MongoDB MySQL SQLite Redis

Projects

A few projects from my resume that best show the range of my work.

ML_STUDIO — Low-Code ML Deployment Framework

Innovatics
Lead Developer

A cloud-agnostic low-code ML framework for rapid model development, deployment, governance, and monitoring across AWS, Azure, and GCP.

  • AutoML and preprocessing pipelines for faster model setup
  • Cloud-agnostic and serverless architecture across AWS, Azure, and GCP
  • Dynamic scaling, monitoring, and client-specific endpoint customization
  • Audit trail, audit reporting, and compliance report generation
  • API-key security and RBI-aligned governance workflows
Cross-cloud
Audit-ready
Serverless-first
AWS Azure GCP Docker FastAPI Terraform

AI‑Powered Stock Market Analysis Tool

Razor Edge
Full Stack (DevOps)

Financial analytics platform integrating ChatGPT to turn natural language into structured insights for real-time stocks, options, and fundamentals.

  • Prompt engineering that translated user queries into structured financial expressions
  • Real-time technical indicators, fundamentals, and attribution workflows
  • Backtesting, trend analysis, and portfolio screening capabilities
  • Flask/FastAPI APIs on AWS ECS with caching and parallel processing
AI analytics
ECS deployed
Data-driven UX
AWS ECS Flask FastAPI React Node.js MongoDB

Compliance.ai — Kubernetes Deployment & Observability

Innovatics
DevOps Lead

A production-ready Kubernetes compliance platform with standardized Helm deployments, Cloud CDN delivery, and multi-level alerting for reliable operations.

  • Helm-based deployments with environment-specific configurations
  • Kubernetes namespace isolation and resource governance
  • UI deployment via Cloud CDN for low-latency static delivery
  • Infrastructure-level alerts (pods, nodes, CPU/memory, restarts)
  • Application-level alerts (service health, 4xx/5xx error rate)
Helm standardization
Prod-grade alerts
CDN UI delivery
Kubernetes Helm Cloud CDN Prometheus Alerting DevOps

TenderHealth — AWS Security Incident Response & Remediation

Innovatics
DevOps / Security

Handled a critical production AWS credential leakage incident end-to-end, restoring security across services, environments, and deployment systems.

  • Rotated and re-wired AWS access keys across environments, services, and deployment pipelines
  • Identified unauthorized role assumptions and lateral movement patterns using AWS CloudTrail
  • Implemented containment and cleanup actions to prevent further misuse of credentials
  • Coordinated extended incident sessions with AWS Support and delivered remediation updates to stakeholders
  • Performed continuous monitoring over the weekend to confirm stability and zero re-occurrence
Full key rotation
CloudTrail investigation
Weekend monitoring
AWS IAM CloudTrail CI/CD Incident Response Security

Control Case — Legacy Modernization

Migrated a complex Ruby backend with 9 databases to Python on AWS Lambda, improving maintainability and preparing the system for production-ready operation.

Experience

My recent roles and the type of ownership I carried in each one.

Innovatics — Technical Lead / Solution Engineer

Apr 2024 – Present
  • Led ML-Studio, a cloud-agnostic low-code ML framework for rapid model development and deployment across AWS, Azure, and GCP.
  • Built and maintained CI/CD systems with Terraform, Jenkins, Bitbucket Pipelines, and Azure DevOps.
  • Delivered production-grade Kubernetes deployments using Helm, Cloud CDN, and infra/app observability.
  • Implemented audit trail, audit reporting, and compliance reporting capabilities for enterprise governance needs.
  • Handled critical AWS incident remediation, including credential rotation, CloudTrail investigation, and coordination with AWS Support.

Razor Edge — Full Stack Developer (DevOps-Focused)

Apr 2022 – Mar 2024
  • Built and maintained full-stack applications with React.js, Next.js, Node.js, and MongoDB.
  • Developed and deployed 100+ REST APIs for financial analytics and decision workflows.
  • Designed AWS ECS-based backend services with caching and parallel processing for better performance.
  • Built AI-powered analytics and support automation systems using NLP, ML, and ChatGPT integration.

Achievements

A few outcomes and recognitions that stand out from the resume.

Top 60 / 2000+

IBCO LABS IoT Hackathon — high-availability cloud architecture design.

AWS Incident Remediation

Secured production by rotating leaked credentials, tracing unauthorized role activity via CloudTrail, and closing the loop with AWS Support.

Compliance & Audit Enablement

Delivered audit trail, audit reporting, and compliance report generation to strengthen governance for an enterprise ML platform.

Certifications

  • AWS Certified Solutions Architect - Associate (In Progress)
  • Python for Everybody Specialization (Coursera)
  • Data Analysis & Visualization with Python (Coursera)
  • React.js and Flask project-based learning

Education

Institute of Engineering and Management, Kolkata
B.Tech in Electronics and Communication Engineering
CPI: 8.84 | Aug 2018 - Jun 2022

Contact

Open to solution engineering, DevOps, cloud platform, and full-stack opportunities where I can contribute across delivery, automation, and production reliability.

Let’s connect.

Email, call, or connect on LinkedIn. You can also review my GitHub and resume from here.

Email Call LinkedIn GitHub
Download Resume