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Pratyush Reddy

@pratyushreddy

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Computer Science student building practical full‑stack and ML projects.

India

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What I'm looking for

I seek hands‑on roles in full‑stack or ML teams where I can build production web/AI features, work in agile teams, learn new technologies, and grow toward technical ownership.

I am a B.Tech. Computer Science and Engineering student with strong academic performance (CGPA 8.96/10) and hands-on experience building full‑stack web applications and machine learning projects. I have contributed as a full‑stack developer and researcher on projects like FocusedTube (AI‑powered YouTube content filter) and HR Nexus, using technologies such as Flask, MongoDB, Supabase, JavaScript, SQL, and Hugging Face APIs.

I collaborate in agile teams, participate in competitive programming, and pursue continuous learning through certifications in SQL, Python, Generative AI, and AR. I bring resilient optimism, teamwork, and time‑management skills, and I am motivated to apply my technical and problem‑solving abilities to impactful software and ML roles.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

Acmegrade

Jan 2025 - Present (9 months)

Built FocusedTube, an AI-powered YouTube content filter with personalized dashboards and screen-time analytics using Supabase and Hugging Face integrations.

JavaScript HTML CSS Supabase SQL Hugging Face

Current

Full Stack Developer

Current

Pragament

Jan 2025 - Present (9 months)

Built a scalable web application using Flask and MongoDB and collaborated with team members in an agile environment to plan and execute development tasks.

Flask MongoDB Agile Python Web Development REST APIs Git HTML CSS

Research Contributor

IEEE IDICAIEI Conference

Jan 2024 - Dec 2024 (11 months)

Contributed research and web development work for the HR Nexus project, informing implementation of HR management processes and system design.

Research Web Development HTML CSS JavaScript HR systems Technical Writing

Developer

Personal Project

Jan 2024 - Dec 2024 (11 months)

Developed a movie recommendation system using TF-IDF vectorization and cosine similarity to suggest similar movies based on user preferences.

Python Pandas scikit learn TF IDF Cosine Similarity Machine Learning Data Processing

Education

Degrees, certifications, and relevant coursework

B V Raju Institute Of Technology

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 8.96/10 (as of 6th Semester)

Activities and societies: Student clubs (tech and software development), competitive coding (LeetCode, CodeChef, CodeForces), video editing, badminton and basketball.

Pursuing B.Tech. in Computer Science and Engineering with a 6th-semester CGPA of 8.96/10 and coursework in DBMS, OOPS, Computer Networks, Operating Systems, Cloud Computing, Machine Learning, and Information Security.

Narayana PU College, Nelamangala

Pre-University Course, Pre-University (PCMB)

2020 - 2022

Grade: 84.34%

Completed Pre-University (PCMB) with a percentage of 84.34%, covering physics, chemistry, mathematics and biology subjects relevant to engineering preparation.