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RAGHAV UserRU
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RAGHAV User

@raghavuser

Full‑stack developer specializing in MERN and data‑driven solutions.

India
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What I'm looking for

I seek hands‑on engineering roles where I can build full‑stack or ML solutions, work in collaborative teams, learn rapidly, and deliver measurable product impact.

I am a full‑stack developer and data science student with hands‑on experience building MERN applications, RESTful APIs, and ML/NLP pipelines. I have delivered end‑to‑end projects including an e‑commerce platform with payment and shipping integrations, a faculty research incentive portal, and sentiment analysis models built on over 27,000 tweets.

I collaborate well in teams and have internship experience in frontend and full‑stack roles, technical leadership in a college club, and a track record of rapid learning and competitive achievement (Hackathon selection, frontend competition first place, 200+ LeetCode problems). I focus on producing maintainable code, improving user experience, and delivering measurable impact like digitizing processes to eliminate paperwork.

Experience

Work history, roles, and key accomplishments

DE

Full Stack Developer Intern

Dhawan Enterprises

Jul 2025 - Aug 2025 (1 month)

Collaborated with a team to design and develop a MERN website, and implemented RESTful APIs for product listings, user authentication, and inventory management to ensure secure, efficient data flow.

Education

Degrees, certifications, and relevant coursework

PT

Panipat Institute of Engineering and Technology

Bachelor of Technology, Computer Science

2023 -

Enrolled in a Bachelor of Technology program in Computer Science at Panipat Institute of Engineering and Technology.

Indian Institute of Technology Madras logoIM

Indian Institute of Technology Madras

Bachelor of Science, Data Science and Programming

2023 -

Activities and societies: Completed foundational year; 1st Sem: 8.14 SGPA, 2nd Sem: 7.98 SGPA, 3rd Sem: 8.02 SGPA.

Pursuing a Bachelor of Science in Data Science and Programming from IIT Madras, covering foundational and applied data science coursework.

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