Cloud & DevOps Delivery
Infrastructure, automation, and deployment systems built for dependable delivery.
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
Based in Bihar, India
Technical lead and solution engineer — cloud-native delivery, Kubernetes, DevOps, modern Python backends.
Photo Reel
About Me
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
Spanning infra automation, product engineering, ML delivery, and security response across Innovatics and Razor Edge.
Infrastructure, automation, and deployment systems built for dependable delivery.
Low-code ML delivery with cloud flexibility, governance, and operational clarity.
Faster releases through cleaner pipelines and better repeatability.
Moving older systems toward maintainable cloud-native architecture.
Security response and governance built into actual delivery work.
Backend, frontend, and ops working together instead of in silos.
Skill Stack
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
Cloud delivery, analytics products, reliability, and security.
Innovatics
Low-code ML deployment framework across AWS, Azure, and GCP.
Cloud-agnostic low-code ML platform for rapid model development, deployment, governance, and monitoring with strong compliance and audit support.
Razor Edge
Financial analytics platform with ChatGPT-assisted insights.
Natural language inputs → structured market intelligence with real-time indicators, backtesting, and portfolio workflows.
Innovatics
Helm-based deployment with infra and app-level alerting.
Innovatics
Critical AWS credential leakage response and recovery.
Razor Edge
NLP-powered ticket triaging and real-time support workflows.
Innovatics
CI/CD modernization and secure deployment R&D.
Experience
Achievements
100+
Backend workflows for financial analytics, ML systems, and product support.
40%
AI-powered support automation improving operational efficiency by 40%.
Top 60
Top 60 of 2000+ participants, IBCO LABS IoT Hackathon, for high-availability cloud architecture.
Institute of Engineering and Management, Kolkata
B.Tech — Electronics and Communication Engineering
Writing
Real incidents, real decisions. Notes from platform engineering and production.
If you can't answer that instantly, keep reading. I couldn't either — and it cost us a full weekend.
The credential you warned about will leak first
The access you didn't set up is the access you don't watch
An incident is a gift if you use it properly
Get In Touch
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.