Open to opportunities

Adyasa Patnaik

@adyasapatnaik

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Full-stack developer and machine learning enthusiast building scalable web apps, REST/GraphQL APIs, and NLP solutions.

India

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What I'm looking for

I’m looking for an entry-level role where I can build full-stack features (React + APIs) and apply machine learning for NLP and recommendations, working with a team that values clean engineering, experimentation, and measurable impact.

I’m an undergraduate in Computer Science (B.Tech) with hands-on internship experience building scalable web applications and integrating REST/GraphQL APIs. I work comfortably across full-stack development using React and backend services with Symfony and Pimcore.

In my internships, I built and integrated REST & GraphQL APIs for a headless e-commerce platform using Pimcore, Symfony, React, and MySQL. I also designed a book recommendation system using clustering-based approaches and developed text classification and sentiment analysis pipelines with traditional NLP techniques and transformer models.

I’m drawn to roles that combine product-minded engineering with applied AI—especially NLP and machine learning. I enjoy turning ambiguous problems into working systems, validating results across models, and improving architectures for performance and maintainability.

Experience

Work history, roles, and key accomplishments

Intern - API Development

Happiest Minds Technologies

Jan 2025 - May 2025 (4 months)

Built and integrated REST and GraphQL APIs for a headless e-commerce platform using Pimcore, Symfony, React, and MySQL.

REST APIs GraphQL Pimcore Symfony React MySQL Headless Commerce API Integration Git

Intern - Systems Simulation

Bharat Electronics Limited (BEL)

Jul 2024 - Aug 2024 (1 month)

Developed a Data Simulator for a Combat Management System using Qt and C++, implementing UDP and TCP communication protocols.

C UDP TCP Embedded Systems Programming

Intern - ML & NLP

Desidoc, DRDO

Jun 2024 - Aug 2024 (2 months)

Designed a book recommendation system using clustering-based ML and built NLP pipelines for text classification and sentiment analysis using traditional NLP and pre-trained transformer models.

Machine Learning NLP Sentiment Analysis Transformer Models Clustering Recommender Systems Hadoop Postman