Jatin Jangir Portfolio

About Me

Passionate Software Developer and DevOps Engineer with a strong foundation in computer science and extensive experience in Kubernetes, cloud-native deployments, CI/CD, open-source contributions, and data-driven problem solving. Known for creating scalable, automated solutions and contributing to academic research in GPU computing and cloud systems.

Download My Resume

Work Experience

DevOps Engineer at Devtron (Jan 2023 - July 2024), Gurugram
- Removed namespace dependencies for multi-cluster Kubernetes deployments
- Optimized CI/CD pipelines and alerting via GitHub Actions
- Troubleshot and resolved complex client Kubernetes issues and performed zero-downtime cluster upgrades (EKS/AKS)
- Reduced Docker image sizes by 25% and modularized Helm charts for automation
- Implemented log monitoring to reduce HTTP errors and improved PostgreSQL migration reliability
- Deployed scalable Raspberry Pi Kubernetes clusters and contributed to open-source MicroK8s integration
- Technologies: Kubernetes, Docker, Helm, GitHub Actions, PostgreSQL, EKS, AKS, MicroK8s, Raspberry Pi
Web Developer Intern at PrimaThink Technologies Pvt. Ltd (Sept 2021 - Nov 2021)
- Remote HTML, CSS, JavaScript, Bootstrap, and TailwindCSS development for web applications

Research Work

Improving Data Movement Performance for GPU Workloads (May 2025 – Ongoing, Thesis)
Guidance: Prof. Debadatta Mishra
- Unified Virtual Memory (UVM) optimization to directly map file-backed pages to GPU, reducing memory duplication and CPU RAM usage in data/AI workloads
- Proposed direct file paging and CRIU GPU checkpoint/restore integration for advanced HPC/heterogeneous memory
- Technologies: Linux Kernel, UVM, CUDA, NVIDIA GPU Driver, C
Enhancing GPU Checkpoint/Restore in CRIU (Jan 2025 – Apr 2025)
Independent Study
- Reproduced and extended CRIUgpu plugin for CUDA checkpointing; addressed GPU memory/race issues and implemented predump support
- Technologies: C, CRIU, CUDA, NVIDIA GPU Driver, Linux, Git, Shell Scripting
Analytics of Epidemiological Data using Machine Learning Models (Jan 2022 – May 2022)
- Research on COVID-19 trend prediction using ML algorithms

Projects

Logminder

Automated anomaly detection pipeline for Kubernetes logs, featuring ML parsing, embeddings, and scalable backend with real-time metrics and interactive dashboarding.

PythonKubernetesPostgresDockerPlotlyML/AI

Namespace-Crawler

Custom Kubernetes controller and event-driven synchronizer for resource consistency and cross-namespace automation at scale.

KubernetesGoLangDocker

Miss-Minutes

AI-driven multiplayer financial literacy game simulating savings, investments, bonds, and strategic AI trading in a time-accelerated economy.

ReactPythonRedisJS

AmazoLens

Interactive e-commerce analytics dashboard using RFM segmentation, market basket, sentiment, maps, and ML-based forecasting (Course Project).

PythonReactD3.jsScikit-learnTransformersFoliumClickHouse

Big Data Epidemic ML

ML pipeline for COVID-19 data (Trends, Prediction, and Visualization)

research paper

PythonMachine LearningPySparkFbprophet

Gideon (CRIUgpu Extension)

Extending checkpoint/restore for CUDA GPU state in containers, improving plugin reliability (Research & OSS)

CCudaNvidia-DriverLinuxCriuContainers

Play 2048 with AI

AI agent solves the 2048 puzzle using hill climbing and heuristics.

PythonAI

Positions of Responsibility

Teaching Assistant, CSE IIT Kanpur: CS771 (ML, Aug–Dec 2024), ESC101 (Computing, Jan–Apr 2025), CS330 (OS, Jul–Dec 2025)
Dept. Placement Coordinator - SPO, IIT Kanpur (Jun 2025 – Apr 2026)
Company Placement Coordinator - SPO, IIT Kanpur (Nov–Dec 2024)
Orientation Team Member - ICS, IIT Kanpur (Dec 2024 – Jan 2025)