Current
Solutions Architect
Redington Limited
July 2026 — Present
Mumbai
Architecting cloud and platform solutions, building on four years of hands-on infrastructure and DevOps engineering.
Solutions Architect · Kubernetes · Cloud · DevOps · AI Infrastructure
Kshitij Hatwar
Building reliable systems at the intersection of Cloud, Platform Engineering & AI.
Solutions Architect with 4+ years of experience designing and operating production infrastructure, Kubernetes platforms, CI/CD systems, cloud environments, and automation — now expanding into Generative AI and Data Science.
Currently: Solutions Architect @ Redington Limited
About
A little about me
I'm a Solutions Architect, a Certified Kubernetes Administrator and an AWS Certified Solutions Architect. Most of my work so far has lived in the unglamorous, load-bearing parts of a system — production Kubernetes environments, CI/CD, infrastructure automation, AWS, monitoring, security and disaster recovery.
Four years of platform engineering taught me that reliability is mostly a design problem. Clusters upgraded without downtime, pipelines that catch problems before humans do, servers configured identically because a machine did it — that's the craft I care about.
Now I'm pursuing an M.Tech in Generative AI & Data Science at IIT Jammu, moving deliberately toward AI infrastructure — the place where platform engineering and AI systems start to look like the same discipline.
I like building things to understand them better. That's how I ended up training a small-scale LLM from scratch and running it on my own Kubernetes cluster.
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Years Experience
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Servers Automated
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Docker Image Size Reduction
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Infrastructure Vulnerability Reduction
Experience
Experience
From operating infrastructure at scale to architecting solutions.
DevOps Engineer
Yotta Data Services Private Limited
July 2023 — July 2026
Navi Mumbai
- Managed production-grade Kubernetes clusters using kubeadm
- Managed networking, storage, Network Policies and node lifecycle
- Executed zero-downtime upgrades of HA Kubernetes clusters
- Built Jenkins CI/CD pipelines with linting, testing and vulnerability scanning
- Automated configuration management across 50+ servers using Ansible
- Created Terraform modules for AWS infrastructure
- Reduced infrastructure vulnerabilities by 35%
- Implemented Kubernetes monitoring using VictoriaMetrics and Grafana
- Performed ETCD backup and restore operations for disaster recovery
- Authored infrastructure SOPs and runbooks
Graduate Engineering Trainee
Yotta Data Services Private Limited
July 2022 — August 2023
Navi Mumbai
Started in data centre and infrastructure operations, learning the systems from the ground up.
Selected impact
Impact, not just activity.
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Reduction in Docker image size
Leaner builds meant faster pipelines, quicker rollouts and less registry pressure.
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Reduction in infrastructure vulnerabilities
Vulnerability management and VAPT remediation folded into everyday operations.
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Servers automated
Ansible-driven configuration management replacing repetitive manual work.
HA
Kubernetes infrastructure operated
Highly available clusters upgraded with zero downtime and backed by ETCD recovery drills.
Projects
Things I've built
A working set — deep dives on platform, delivery and AI infrastructure work are being written up.
AI Infrastructure
A small-scale LLM, trained from scratch
A personal experiment in understanding language models by building and operating one end to end.
- Kubernetes
- Generative AI
- Problem
- Reading about model training only goes so far — the operational side of AI stays invisible until you run it yourself.
- What I built
- Trained a small-scale LLM from scratch and served it on a personal Kubernetes cluster.
- Outcome
- A working, self-hosted model and a much clearer picture of where platform engineering and AI systems meet.
Writing
Notes from the cluster
Short, practical write-ups on Kubernetes internals and platform engineering — published on Medium.
- Aug 2025ETCD Quorum in Kubernetesetcd uses the Raft consensus algorithm to ensure cluster consistency and reliability through quorum-based decisions.2 min read
- Jul 2025Affinity and Anti-Affinity Rules in KubernetesDeep dive into Kubernetes scheduling rules that control pod placement using selectors, labels, and affinity policies.2 min read
- Jul 2025Role of CNI in KubernetesKubernetes delegates all networking to CNI plugins — here's how they work and why they matter for cluster networking.2 min read
Credentials
Certifications & Credentials
ITIL 4
ITIL 4 Foundation Certificate in IT Service Management
ITIL
Education
Education
April 2026 — Present
Indian Institute of Technology Jammu
Master of Technology — Generative AI & Data Science
Exploring the intersection of AI systems, infrastructure & platform engineering
June 2022
G.H. Raisoni College of Engineering, Nagpur
Bachelor of Engineering — Electronics and Telecommunication
May 2018
Sri Chaitanya Junior College, Hyderabad
HSC — Science
March 2016
Tip Top Convent
SSC
Expertise
What I work with
Tools matter less than judgement, but here's where the hands-on hours have gone.
Cloud
- AWS
Platform Engineering
- Kubernetes
- Docker
- Helm
Infrastructure as Code
- Terraform
- Ansible
CI/CD
- Jenkins
Observability
- VictoriaMetrics
- Grafana
Security
- Vulnerability Management
- VAPT Remediation
- Security Controls
AI
- Generative AI
- Data Science
- AI Infrastructure
What I'm exploring now
Where Platform Engineering meets Generative AI.
I'm pursuing an M.Tech in Generative AI & Data Science at IIT Jammu, building directly on a background in infrastructure, Kubernetes, cloud and DevOps. The interesting problems in AI aren't only in the models — they're in how those systems are trained, served, scaled and kept running.
- Cloud
- Platform Engineering
- Kubernetes
- AI Infrastructure
- Generative AI
Beyond the infrastructure
I like building things to understand them better. Docs and papers are useful, but something only really clicks once it's running and you're the one keeping it alive.
Which is why I trained a small-scale LLM from scratch and ran it on my own Kubernetes cluster — not because it was the practical choice, but because it was the honest way to learn how these systems actually behave.
Contact
Let's build something meaningful.
Whether you're working on cloud infrastructure, platform engineering, DevOps transformation, or AI infrastructure, I'd love to connect.