Preetham H
@preethamh
Full-stack developer focused on Web3, AI-driven products, and scalable web applications.
What I'm looking for
I am a full-stack developer and Web3 practitioner building decentralized applications, smart contracts, and AI-enhanced products. I combine frontend and backend strengths with blockchain and ML experimentation to deliver secure, data-driven user experiences.
My recent projects include a multi-agent RAG learning platform achieving 85%+ recommendation accuracy, a secure farmer–vendor marketplace, and a decentralized movie-review DApp with tamper-resistant on-chain storage. I have practical internship and freelance experience across full-stack development, AI model tuning, and video annotation for ML datasets.
I contribute to community initiatives like Web3Onwards and apply CI/CD, containerization, and cloud deployment practices to ship reliable software. I seek roles where I can drive product impact through Web3, AI, and scalable web technologies.
Experience
Work history, roles, and key accomplishments
Performed video annotation and SRT file creation/validation for AI training datasets, maintaining high-quality labeling standards to improve audiovisual model comprehension.
AI Tutor (Freelancer)
Outlier
Aug 2024 - Present (1 year 2 months)
Trained and developed AI models and improved performance and accuracy through prompt engineering and iterative model refinement.
Full Stack Developer Intern
Dw3ll
Jan 2024 - Jan 2025 (1 year)
Built decentralized applications and smart contracts while contributing to the Web3Onwards community and exploring blockchain technologies to support project development.
Education
Degrees, certifications, and relevant coursework
Ramaiah Institute of Technology
Bachelor of Engineering, Information Science and Engineering
2022 -
Grade: SGPA: 8.63
Activities and societies: Relevant coursework in ML, Distributed Systems, Algorithms, Computer Networks, OOPS, OS, DBMS; member of Web3Onwards Community and Velocita Racing; finalist in Unisys Innovation Program.
Pursuing a Bachelor of Engineering in Information Science and Engineering with coursework in Machine Learning, Distributed Systems, Algorithms, Computer Networks, OOPS, OS, and DBMS; current SGPA 8.63.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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