Open to opportunities

Dhruv Kumar

@dhruvkumar1

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Full-stack developer building ML-powered web apps and AI-driven platforms.

India

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What I'm looking for

I want an early-career full-stack or ML role building ML-powered web apps and LLM-based products, in a collaborative team that values impact and learning.

I am a tech enthusiast and full-stack developer with 3 full-stack projects and 550+ DSA problems solved, focused on building ML-powered applications that deliver measurable product impact.

I built an LLM-Powered AI Interview Platform integrating Google Gemini, Vapi and Firebase; I analyzed over 1,000 interview transcripts to refine question generation, enabled real-time voice interviews, and reduced preparation time by 10+ hours while being tested by 50+ users.

My projects include CryptoX, a real-time crypto dashboard (React, CoinGecko API) that scored 95% on Lighthouse, and a Movie Recommender System (TF-IDF, cosine similarity, Flask) that increased user engagement by 25% and drove 1,000+ additional monthly downloads.

I hold certifications in Data Structures & Algorithms, Full Stack Development and introductory AI/ML courses, and I have been a Top 30 hackathon finalist and an Ideastrom (IIT Roorkee) finalist; I seek roles where I can apply full-stack and ML skills to build production-grade, AI-enabled products while growing in a collaborative team.

Experience

Work history, roles, and key accomplishments

Current

LLM-Powered AI Interview

Current

Personal Project

Jun 2025 - Present (1 year)

Built a full-stack AI interview platform integrating Google Gemini and real-time voice; analyzed 1,000+ interview transcripts to refine question generation and improve candidate evaluation accuracy. Reduced candidate preparation time by 10+ hours and validated the system with 50+ users.

Next.js Firebase Firestore Google Gemini API Shadcn Ui Vapi JavaScript VAPI

CryptoX Dashboard

Personal Project

Jan 2024 - Apr 2024 (3 months)

Developed a real-time crypto dashboard using React and CoinGecko API to track 500+ digital assets and visualized historical trends with interactive charts. Achieved a 95% Lighthouse performance score and responsive UX via Material UI.

React Material UI CoinGecko API JavaScript HTML CSS Data Visualization Performance Optimization

Movie Recommender System

Personal Project

Mar 2023 - Jul 2023 (4 months)

Deployed a TF-IDF and cosine similarity–based movie recommendation engine using Flask; used by 20+ engineers for A/B tests and drove a 25% increase in user engagement. Processed datasets with Pandas and served real-time recommendations to support 1,000+ additional monthly downloads.

Python Pandas scikit learn TF IDF Cosine Similarity Flask Machine Learning data preprocessing