Chaman's Profile

Chaman Kumar

Chaman Kumar

He/Him

Software Engineer with expertise in full-stack development, cloud technologies, and DevOps. Specializing in MERN stack, Java frameworks, and scalable system design.

Boston, MA, USA
Northeastern University
Email
LinkedIn
LinkedIn
GitHub
GitHub

About ME đź‘‹

Hello! I'm Chaman Kumar, a Master of Science in Computer Science candidate at Northeastern University (Boston). With a strong foundation in full-stack engineering, web performance & accessibility, and cloud-native DevOps, I'm passionate about building fast, scalable, and deployment-ready web applications.

🔍 Experience & Background

My journey spans teaching, product engineering, and research—with roles at Northeastern's Khoury College (Graduate TA), AKQA, and BluePi. At Northeastern, I led a TA team and shipped a Stack Overflow–style MERN platform used by 100+ students while driving TDD and structured code reviews. At AKQA, I optimized IWC Schaffhausen's AEM/MERN e-commerce stack—raising code coverage, cutting load time 11s → 4s, and boosting engagement while hardening releases via CI/CD and WCAG 2.1. Earlier at BluePi, I built Spring Boot + AWS prototypes and strengthened pipelines with JUnit/CI to improve efficiency and reduce runtime errors. Along the way, I delivered industry-aligned academic builds (Java image pipeline, Chrome extension, RecipeHub) and an IEEE-published face-recognition attendance system.

đź’» Technical Expertise

I specialize in:

Programming: Java, Python, C/C++, JavaScript, TypeScript, C#, SQL, Go(Golang), Ruby
Web/Frameworks: React, Node.js, Next.js, Express, Spring Boot, .NET, Angular, HTML5/CSS3, Webpack, Socket.IO
Databases/Testing: MySQL, PostgreSQL, DynamoDB, MongoDB, Redis, JUnit, Mockito, Jest, Postman, SonarQube
Cloud & DevOps: Jenkins, Docker, Kubernetes, GCP, Azure, AWS (Lambda, EC2, S3, RDS/DynamoDB, IAM, SNS)
Software Development: Object-Oriented Design, TDD, Agile, Scrum, Retrospective, Story Planning, Sprint, Service First
Certifications: AWS Cloud Practitioner, AWS Certified Developer Associate
Other Tools: Selenium, jQuery, CloudWatch, Cypress, Git, Linux/Bash, CI/CD, GitHub Actions, REST API, JWT

🚀 Current Focus

Currently, I am advancing my software engineering by building end-to-end products that combine scalable systems, cloud, and AI/ML. My work includes:

  • Designing and deploying scalable web services and APIs (MERN/TypeScript, Java/Spring) on cloud platforms with CI/CD and observability.
  • Integrating AI/ML features into applications (e.g., vision/NLP) and serving models through reliable inference endpoints.
  • Optimizing performance, accessibility, and reliability to ensure production-ready experiences at scale.

🔍 Career Goals

As I move into a full-time role, I want to build scalable, distributed systems that power real products end-to-end—systems that are resilient, observable, and easy to evolve. I'm especially excited about applying AI/ML in production, where strong platform engineering meets high-throughput, low-latency design.

  • Backend & Platform Engineering: Design and implement distributed, fault-tolerant services (microservices, event-driven, async queues) with strict SLOs, horizontal scaling, and graceful degradation.
  • AI/ML in Production: Ship scalable inference and retrieval services (feature stores, vector search, model serving, A/B rollouts) that make AI useful, reliable, and cost-efficient.
  • Cloud-Native at Scale: Operate Kubernetes-based stacks with IaC, autoscaling, blue/green & canary deploys, and deep observability (metrics, logs, traces) for fast incident response.
  • Data & Streaming Systems: Build streaming pipelines and storage layers that handle spikes, ensure consistency where needed, and optimize for throughput and latency.
  • Performance & Reliability: Lead capacity planning, load testing, caching strategies, and performance tuning to keep p99s low and availability high.

In short: roles where I can own and scale distributed systems, bring AI/ML to production responsibly, and drive engineering practices (TDD, CI/CD, reviews) that keep teams shipping fast with confidence.

đź”— Let's Connect!

I am always open to discussions on collaborating to drive innovation in AI and technology. Let's connect and explore how we can create impactful solutions together!