Available for opportunities
Solution Engineer · DevOps · Cloud · K8s

Cloud-native
production-ready
delivery at scale.

Passionate Solution Engineer with 4+ years delivering cloud-native, full-stack, and DevOps solutions across multi-cloud environments. Python · Kubernetes · Terraform · CI/CD.

4+

Years delivering platform & product

AWS · Azure · GCP

Cloud-agnostic architecture

K8s First

Helm, observability, prod rollouts

Portrait of Divesh Kumar

Based in Bihar, India

Technical lead and solution engineer — cloud-native delivery, Kubernetes, DevOps, modern Python backends.

About Me

I help teams move from idea to production with less chaos.

My work combines platform engineering, DevOps ownership, backend development, and client-facing technical delivery. Comfortable leading demos, aligning engineering with business goals, designing cloud-agnostic systems, and supporting high-stakes production environments.

What I bring

Cloud-native architecture, repeatable CI/CD, Kubernetes deployment workflows, backend service delivery, and platform reliability thinking.

How I work

Systems that are observable, auditable, and easy to operate — so teams can move fast without constant firefighting.

Recent focus

Multi-cloud ML platforms, secure Kubernetes delivery, incident remediation, serverless modernization, and AI-powered product workflows.

Core Strengths

The work I'm strongest at.

Spanning infra automation, product engineering, ML delivery, and security response across Innovatics and Razor Edge.

Cloud & DevOps Delivery

Infrastructure, automation, and deployment systems built for dependable delivery.

Terraform Jenkins GitHub Actions AWS · Azure · GCP Kubernetes Docker

ML Platform Engineering

Low-code ML delivery with cloud flexibility, governance, and operational clarity.

ML-Studio AutoML PySpark MLOps Audit Trails

CI/CD & Automation

Faster releases through cleaner pipelines and better repeatability.

Bitbucket Pipelines Azure DevOps Staging Automation

Legacy Modernization

Moving older systems toward maintainable cloud-native architecture.

Ruby → Python AWS Lambda Serverless 9-DB migration

Security & Compliance

Security response and governance built into actual delivery work.

CloudTrail IAM Key Rotation Audit Reporting

Full-Stack Product Support

Backend, frontend, and ops working together instead of in silos.

React Next.js FastAPI Node.js 100+ APIs

Skill Stack

A toolkit shaped by production work.

Less buzzwords, more things I've actually shipped.

Cloud & DevOps

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

Backend

Python, FastAPI, Flask, Django, Bash, Node.js, REST APIs, API auth, serverless integrations.

Frontend

React.js, Next.js, responsive UI, dashboard interfaces, data visualization.

MLOps & Data

PySpark, AutoML, preprocessing, data pipelines, model monitoring, cloud-native ML.

Security

CloudTrail, IAM policies, security groups, alerts, audit trails, compliance reporting.

Databases

PostgreSQL, MongoDB, MySQL, SQLite, Redis, multi-database backend migration work.

Selected Work

Projects that show depth and range.

Cloud delivery, analytics products, reliability, and security.

Innovatics

ML_STUDIO

Low-code ML deployment framework across AWS, Azure, and GCP.

Lead Developer

Cloud-agnostic low-code ML platform for rapid model development, deployment, governance, and monitoring with strong compliance and audit support.

Cross-cloud delivery
Audit-ready
Serverless arch
  • AutoML and preprocessing pipelines for faster project setup
  • Dynamic scaling, MLOps integration, and endpoint customization
  • RBI-aligned governance, API-key security, and compliance reporting

Razor Edge

AI Stock Market Analysis

Financial analytics platform with ChatGPT-assisted insights.

Full Stack + DevOps

Natural language inputs → structured market intelligence with real-time indicators, backtesting, and portfolio workflows.

AI analytics
Real-time indicators
AWS ECS
  • Prompt engineering for translating questions into financial expressions
  • Real-time technical indicators, fundamentals, trend analysis, backtesting
  • Flask/FastAPI APIs on AWS ECS with caching and parallel processing

Innovatics

Kubernetes Compliance Platform

Helm-based deployment with infra and app-level alerting.

DevOps Lead
  • Environment-aware Helm deployments and namespace governance
  • Cloud CDN for low-latency static UI distribution
  • Multi-level alerting for pods, nodes, service health, and error rates

Innovatics

TenderHealth Incident Remediation

Critical AWS credential leakage response and recovery.

DevOps / Security
  • Rotated and rewired keys across environments, services, and pipelines
  • Investigated unauthorized access patterns via CloudTrail
  • Coordinated with AWS Support and monitored production through the weekend

Razor Edge

AI Customer Support System

NLP-powered ticket triaging and real-time support workflows.

Automation + AI
  • NLP and ML-based ticket categorization for support prioritization
  • ChatGPT integration for intent and sentiment-aware routing
  • Improved support efficiency by 40% through workflow automation

Innovatics

TenderHealth & Iera Delivery

CI/CD modernization and secure deployment R&D.

Delivery Systems
  • Migrated legacy UI deployment to Bitbucket Pipelines
  • Built Terraform + Jenkins CI/CD for staging environments
  • DNS, domain mapping, secure server setup, and static deployment R&D

Experience

Roles where I owned delivery and outcomes.

Innovatics — Technical Lead / Solution Engineer

Apr 2024 – Present
Current Role
  • Led ML-Studio, a cloud-agnostic ML platform across AWS, Azure, and GCP.
  • Built and maintained CI/CD systems using Terraform, Jenkins, Bitbucket Pipelines, and Azure DevOps.
  • Delivered Kubernetes deployments with Helm, observability, CDN-based UI distribution, and alerting.
  • Implemented audit trail and compliance reporting for enterprise governance needs.
  • Handled critical AWS incident remediation with key rotation, CloudTrail investigation, and stakeholder communication.

Razor Edge — Full Stack Developer (DevOps-Focused)

Apr 2022 – Mar 2024
2 Years
  • Built 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.
  • Built AI-powered analytics and support automation using NLP, ML, and ChatGPT integration.

Achievements

Outcomes that stand out.

100+

APIs Delivered

Backend workflows for financial analytics, ML systems, and product support.

40%

Support Efficiency Gain

AI-powered support automation improving operational efficiency by 40%.

Top 60

Hackathon Ranking

Top 60 of 2000+ participants, IBCO LABS IoT Hackathon, for high-availability cloud architecture.

Certifications

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

Education

Institute of Engineering and Management, Kolkata

B.Tech — Electronics and Communication Engineering

CPI: 8.84 Aug 2018 – Jun 2022

Get In Touch

Open to solution engineering, DevOps, platform, and product opportunities.

If you're building something that needs better delivery systems, stronger cloud architecture, or a dependable engineer who can span platform and product work — let's connect.