Arnab Maity Profile Picture

Hi, I'm Arnab Maity

Aspiring software engineer and Johns Hopkins University graduate student, passionate about building scalable systems and AI-driven solutions. Seeking to apply expertise in Machine Learning, Cloud-Native Development, and enterprise technologies.

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About Me

I'm Arnab Maity, a software engineer and AI enthusiast currently pursuing my Master's in Computer Science at Johns Hopkins University. My journey has taken me from DevOps automation at Upraised to Greenfield SAP Implementation at PwC, and now I'm diving deep into machine learning and artificial intelligence. What started as a fascination with scalable systems has evolved into a passion for building intelligent applications that solve real problems.

I believe in writing clean, thoughtful code and learning from diverse perspectives. I'm particularly drawn to building AI agents that handle complex reasoning, developing LLM-powered applications, and creating MLOps pipelines that make intelligent systems accessible and reliable. I'm always curious about emerging technologies but ground that curiosity in practical application – the most elegant solution is often the one that works reliably and makes someone's day easier.

2+
Years Experience
15+
Projects Completed
10+
Technologies
4+
Hackathons

Skills & Technologies

Core languages, frameworks, libraries and cloud/devops tools I use regularly.

Languages

PythonJavaBashC/C++JavaScriptSQL (Postgres)

Frameworks and Libraries

React.jsNext.jsNode.jsFlaskDjangoTensorFlowPyTorch

Cloud and DevOps

AWSAzureGCPDockerKubernetesTerraformJenkinsGitHub ActionsArgoCDAnsible

Experience & Education

My professional journey and educational background that shaped my development skills

Work Experience

Research Assistant

Center for Digital Health AI (CDHAI) - AI Agent Lab

Nov 2025 – Present
Baltimore, MD, USA
  • Contributing to cutting-edge research in agentic AI systems for healthcare applications, focusing on developing intelligent agents that can assist in clinical decision-making and patient care.
  • Collaborating with a multidisciplinary team of researchers and clinicians to design and implement AI-driven solutions that address real-world healthcare challenges.
  • Utilizing LangGraph to create dynamic knowledge graphs that enhance the interpretability and reliability of AI models in medical contexts.
  • Conducting experiments and analyzing data to evaluate the performance and impact of AI agents in various healthcare scenarios.
PythonAIMachine LearningHealthcareLangGraph

Associate

PricewaterhouseCoopers (PwC), Kolkata, IN

Aug 2023 – July 2025
Kolkata, India
  • Led 3 SAP modules in a 10-module greenfield project, developing custom FIORI applications using JavaScript and ABAP, driving a 30% boost in operational efficiency through agile delivery methodologies.
  • Developed SAP FIORI frontend applications and ABAP backend solutions with integrated testing frameworks, cutting manual effort by 35% and reducing user issues by 20% via automated workflows and responsive UX design.
  • Improved business processes by 40% by translating complex client requirements into scalable software solutions, implementing multiple APIs for seamless module integration and data synchronization across enterprise systems.
  • Mentored 4 junior developers on coding standards, version control practices, and software testing methodologies, improving code quality by 25% and earning fast-track promotion to Associate-I within 4 months.
SAP FioriABAPJavaScriptAPIsAgileTesting

DevOps Engineer Intern

Upraised, Kolkata, IN

Jan 2022 - July 2023
Kolkata, India
  • Reduced deployment time by 60% by migrating from a monolithic to microservice architecture, and setting up end-to-end CI/CD using Terraform, AWS EKS/ECR, and ArgoCD (GitOps).
  • Revamped system security by 40% by integrating Vault for secrets management and automating code/container scans with Trivy and Snyk.
  • Led AWS-to-Azure cloud migration and agile delivery via Azure DevOps, while applying full-stack knowledge (React, Next.js, Node.js, MongoDB, SQL) to bridge DevOps and development needs.
  • Developed Python automation scripts and web dashboards for infrastructure monitoring, reducing manual operational tasks by 50% and improving system visibility.
TerraformAWSAzureArgoCDVaultTrivySnykReactNext.jsNode.jsMongoDBSQLPython

Education & Certifications

Masters in Computer Science

Johns Hopkins University
Aug. 2025 – May 2027
Baltimore, MD
  • Relevant Coursework: Machine Learning: Deep Learning, Computer Networks, Software System Design

Bachelor’s in Electrical Engineering

Institute of Engineering and Management, Kolkata
Aug. 2019 – May 2023
Kolkata, IN
  • GPA: 9.04/10

Certifications

Azure AI-900 logo
Azure AI-900
2024
Azure DP-900 logo
Azure DP-900
2024
Azure AZ-900 logo
Azure AZ-900
2024
AWS Certified Cloud Practitioner logo
AWS Certified Cloud Practitioner
2023-2025
Hashicorp Terraform Associate logo
Hashicorp Terraform Associate
2023-2025

Featured Projects

Here are some of the projects I've worked on. Each project represents a unique challenge and learning experience.

Meridian

Meridian

Featured

Meridian is a comprehensive DevOps culture enhancement platform that bridges the gap between learning and doing. It provides AI-powered insights, guided learning journeys, and data-driven management tools to transform how teams approach DevOps.

Next.jsFastAPIMCPGemini API
Terraflux

Terraflux

Featured

Conversational Infrastructure-as-Code platform powered by Agentic AI and Terraform. Features MCP protocol integration, natural language processing, secure credential management, and real-time cost estimation.

MCPAWSNLPTerraformAgentic-AI
PerceptEye

PerceptEye

Featured

AI-powered smart vision system designed to assist visually impaired individuals in navigating their surroundings. Integrates real-time object detection and scene understanding to provide auditory feedback.

Computer VisionDigital OceanGemini VLMFast APIRaspberry PiTransfer Learning

Hackathons

Selected hackathons I participated in, focusing on Development, Cloud, AI, and rapid prototyping.

hackathon

YCP Hacks 2025

Participant2025
Hackathon Winner || Best Use of Digital Ocean Gradient AI || Best Hardware Hack

Developed PerceptEye, an AI-powered smart vision system designed to assist visually impaired individuals in navigating their surroundings. The system integrates real-time object detection and scene understanding to provide auditory feedback, enhancing spatial awareness and independence for users.

hackathon

HackUMBC 2025

Participant2025
Hackathon Winner || 2nd Place

I noticed a critical gap in DevOps education and adoption. Students struggle to understand DevOps concepts without real-world context, professionals work in silos without understanding their impact on the bigger picture, and managers lack visibility into team performance and project health. I wanted to create a platform that not only teaches DevOps but embeds it into daily workflows, making it a natural part of how teams collaborate and grow.

hackathon

HopHacks 2025

Participant2025
Received Special Mention

This project focused on merging empathy and technology — transforming scattered information into easy and meaningful support in moments of need.

hackathon

Global API Fest 2022

Participant2022
Top 10

Built a full-stack React.js + Django application, implementing OpenAPI 3.0 standards where it had a collection of APIs like Speech-to-Text, Text-to-Speech, Text-to-Image.

Get In Touch

I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology.

Let's Connect

Whether you have a project in mind, want to collaborate, or just want to say hello, I'd love to hear from you. Feel free to reach out through any of the channels below.

Location

Baltimore, MD

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© 2025 Arnab Maity.