Open to opportunities

Harram Sattar

@harramsattar

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AI/ML and full-stack developer building production RAG and web apps end-to-end.

Pakistan

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What I'm looking for

I’m looking for a team where I can build and deploy production RAG + AI systems while developing full-stack features with RESTful APIs. I want end-to-end ownership, strong mentorship, and research-to-production impact.

I am a fresh graduate in Computer Science specializing in AI/ML and full-stack development. I focus on delivering end-to-end solutions, from model training to live deployment, with a strong bias toward production-grade systems.

I have hands-on experience building production AI systems, RAG pipelines, and RESTful web applications. I’m also a published researcher in computational biology, with a track record of turning complex data into deployable outcomes.

In my FYP, I engineered a production-deployed AI platform for a partner hospital, powering five real-patient modules and using a context-aware LangChain pipeline for intent classification. I contributed end-to-end automation that reduced routine front-desk load, and built supporting analytics for administrators.

My research work includes analyzing 40,000+ SARS-CoV-2 protein sequences using ML classifiers with amino acid composition features, achieving up to 98% accuracy and getting results published in a peer-reviewed journal. Alongside this, I’ve built role-based full-stack portals and MERN e-commerce workflows with JWT authentication and RESTful APIs.

Experience

Work history, roles, and key accomplishments

Virtual Patient Support

Sepredian Technology

Sep 2025 - May 2026 (8 months)

Built a production-deployed AI platform for a partner hospital with modules for patient health queries, insurance navigation, diagnostic report summarization, appointment scheduling, and an admin analytics dashboard. Implemented a context-aware LangChain pipeline for patient intent classification to reduce routine front-desk inquiries end-to-end.

MEAN stack RAG Python Lang Chain OpenAI API MongoDB Patient Intent Classification

Legal & Medical Document Summarization

Namal University Mianwali

Apr 2026 - Apr 2026 (0 months)

Developed an NLP document summarization system for legal and medical documents using Transformer-based Seq2Seq models. Trained on BillSum and PubMed datasets, performed preprocessing and tokenization, generated context-preserving summaries, and evaluated performance using NLP metrics.

NLP Tokenization Embeddings

SARS-CoV-2 Protein Classification

Namal University Mianwali

Jan 2026 - Mar 2026 (2 months)

Published research on ML-based classification of SARS-CoV-2 structural proteins using amino acid composition analysis. Analyzed 40,000+ protein sequences using Random Forest, SVM, and KNN classifiers and reported up to 98% accuracy.

Machine Learning Protein Sequence Analysis Random Forest SVM K NN Amino Acid Composition Features Feature Engineering Model Evaluation

Hospital Management Web Portal

Namal University Mianwali

Sep 2025 - Dec 2025 (3 months)

Developed a full-stack hospital management system using the MEAN stack to streamline interactions between patients, doctors, and administrators. Implemented role-based authentication, appointment management, doctor and department management, hospital service listings, patient feedback, and administrative CRUD operations.

NodeJS Angular MongoDB Express