Open to opportunities

Madhuri Verma

@madhuriverma

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Computer science student and developer building efficient, deployable AI and cloud systems.

India

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What I'm looking for

I seek roles where I can apply ML and cloud skills to build reliable, scalable products, with mentorship, strong engineering practices, and opportunities to ship end‑to‑end systems.

I am a computer science student and developer focused on building efficient, deployable AI, cloud, and full‑stack systems that drive measurable cost and performance improvements. I have delivered production‑oriented research and internship projects—optimising models and pipelines, designing RESTful APIs, and creating interactive analytics dashboards—while troubleshooting deployment issues and improving reliability across edge and cloud environments.

My experience spans on‑device OCR, real‑time computer vision, RL‑based cloud cost optimisation, and secure full‑stack applications, with demonstrated impacts such as 96% OCR accuracy, 69.6% cost efficiency gains, and size reductions for edge deployment. I prioritize observability, automated workflows, and data quality to support scalable, customer‑facing products.

Experience

Work history, roles, and key accomplishments

Current

Student Researcher

Current

Vellore Institute of Technology

Sep 2022 - Present (3 years 6 months)

Pursuing B.Tech in Computer Science with project work in cloud resource management, computer vision, and full‑stack application development contributing to multiple research and product prototypes.

Python Java React Azure PyTorch SQL Docker Machine Learning

Developer Intern

Chain-Sys Software Exports Pvt Ltd

May 2025 - Jul 2025 (2 months)

Engineered interactive analytics dashboards and designed RESTful APIs and automated data workflows to enable reliable real-time analytics and scalable performance for cross-functional stakeholders.

Python RESTful APIs Data Cleaning ETL Dashboards SQL Docker CI CD

Research Intern

Samsung R&D Institute

Sep 2024 - Jun 2025 (9 months)

Developed CNN pipelines for on-device OCR achieving 96% accuracy, reduced error rates via root-cause analysis, and optimized models and deployments for multiple mobile device targets.

PyTorch CNN Data Annotation Python

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Bachelor of Technology, Computer Science and Information Technology

2022 -

Grade: 8.3210

Activities and societies: Pixelate Club (Designer); TLA Club (Event Organiser); research and project work including OCR, underwater leak detection, and cloud resource management.

Pursuing undergraduate studies in computer science and information technology with a focus on software development, machine learning, and cloud-based solutions; current GPA reported as 8.3210.