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Raj KUMARRK
Open to opportunities

Raj KUMAR

@rajkumar27

I build full-stack and AI-powered products that turn data into practical recommendations and operational insights.

India
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What I'm looking for

I'm looking for an opportunity to build full-stack, data, or AI-driven products where I can apply Python, web development, NLP, and machine learning to solve practical user problems.

I've built Trackly, a full-stack placement readiness dashboard that aggregates LeetCode and GitHub activity to generate readiness scores for students.

Using Next.js, React, TypeScript, MongoDB, GraphQL, and the GitHub API, I supported monitoring for 180+ active students across 3–5 bootcamp cohorts and helped placement teams identify skill gaps in real time.

I also built an NLP-based Expense Categorizer using Python, TF-IDF, Logistic Regression, spaCy, and Streamlit. Trained on 8,000 labeled transactions, it achieved 89% test accuracy and reduced manual categorization time by 65%.

My AI-powered job and skill recommendation platform uses embeddings, NLP, TensorFlow, and regression models to match users with personalized career paths, reaching an 80% top-5 recommendation hit rate.

Experience

Work history, roles, and key accomplishments

PP

Trackly – Placement Readiness Dashboard

Personal Project

Jan 2026 - Present (9 months)

Built a full-stack platform aggregating LeetCode and GitHub activity to generate placement readiness scores. Tracked 180+ active students weekly across 3–5 bootcamp cohorts, processing 250+ student profiles.

PP

AI-Powered Job & Skill Recommendation Platform

Personal Project

Jun 2025 - Present (1 year 4 months)

Built a GenAI-driven recommendation engine matching users to personalized job roles and skill paths using embeddings and NLP. Achieved an 80% top 5 recommendation hit rate, evaluated on 100+ job descriptions.

Education

Degrees, certifications, and relevant coursework

IILM University logoIU

IILM University

Bachelor of Technology, Computer Science

Pursuing a Bachelor of Technology in Computer Science with an expected graduation in July 2027.

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