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Ramraj nagarRN
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Ramraj nagar

@ramrajnagar

Entry-level Machine Learning Engineer building data-driven, reproducible systems.

India
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What I'm looking for

I’m looking for a role where I can build ML and data systems with real-world impact—focused on reproducible experimentation, scalable pipelines, and collaborative engineering (and I enjoy shipping dashboards and agent-powered experiences).

I’m an undergraduate Computer Science and Engineering (CSE) student focused on turning complex data into dependable ML systems. I combine strong fundamentals in data analytics and experimentation (EDA, feature engineering, KPI analysis, A/B testing) with practical engineering skills like REST APIs, databases, and optimization to ship working prototypes.

In open-source and project work, I’ve strengthened ML research pipelines by improving reproducibility and experimental robustness by 40% while supporting 10k+ biological data samples. I also build end-to-end products—from AI knowledge graphs and real-time trend dashboards to secure, decentralized workflows—using tools like Python, TensorFlow-based hybrid modeling, React/Next.js, and scalable backends.

Experience

Work history, roles, and key accomplishments

CE
Current

Open Source Contributor

CellBox

Dec 2025 - Present (6 months)

Assisted in implementing and validating 3 evaluation strategies (random split, leave-one-out, single-to-combination), improving experimental robustness and reproducibility by 40%. Enhanced data preprocessing and experiment pipeline modules to support 10k+ biological data samples across multiple perturbation experiments.

Education

Degrees, certifications, and relevant coursework

SL

Sitare University, Lucknow

Bachelor of Technology, Computer Science and Engineering (CSE)

2024 -

Grade: 8.32/10.0

Activities and societies: B.Tech CS Scholarship; FFE Scholarship (Foundation for Excellence); NCC 'A' Certificate; Drama Club coordinator.

Pursuing an expected B.Tech in Computer Science and Engineering (CSE) with a minor in AI/ML at Sitare University (Aug 2024–Aug 2027), currently with a CGPA of 8.32/10.0.

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