Harram Sattar

CS Graduate | AI & Full-Stack Developer | RAG & LLM Specialist

Based in: Mianwali, PakistanMost recently: Software Engineering Intern, Iterable

Computer Science graduate from Namal University with a proven track record in building production-grade AI systems. From publishing high-accuracy SARS-CoV-2 protein classification research to developing full-stack RAG solutions at Iterable, I specialize in bridging the gap between complex machine learning models and scalable web applications. Passionate about healthcare automation and intelligent document retrieval.

Experience

Software Engineering Intern

IterableRemote - New York, USAinternshipJun 2026 – Aug 2026

Summary

Developed a full-stack web application using the MEAN stack (MongoDB, Express.js, Angular, Node.js), implementing responsive interfaces, backend services, and RESTful APIs. Prepared Software Requirements Specification (SRS) documentation by analyzing business requirements and translating them into functional and technical specifications. Designed and implemented a Python-based Retrieval-Augmented Generation (RAG) solution integrated with LLMs to enable intelligent document retrieval and context-aware question answering. Collaborated in an Agile environment using Git throughout the SDLC, including development, testing, debugging, documentation, and deployment support.

What I did

Built a full-stack MEAN application with role-based functionality and REST APIs.
Developed a scalable foundation for AI-powered interactions.

Results

Improved the relevance and efficiency of document retrieval by leveraging embeddings and vector search techniques.
Significantly reduced the time required to retrieve and process information compared to manual workflows.

MongoDBExpress.jsAngularNode.jsPythonRAGLLMsGitRESTful APIsSDLC

Skills

Technical

Python

Machine Learning

RAG

Express.js

MongoDB

REST APIs

Jupyter Notebook

VS Code

Git

GitHub

NLP

LLMs

JavaScript

LangChain

Prompt Engineering

Scikit-learn

Angular

Node.js

Flask

TypeScript

SQL

TensorFlow

PyTorch

Hugging Face

MySQL

Postman

Power BI

C++

Figma

Canva Pro

PEFT

Multi-agent architecture

RAG pipeline

Workflow orchestration

Structured Prompt Engineering

Stakeholder Presentation

Technical Communication

NLP-based classification

Research-oriented prospecting

LoRA

Data organization

Code-based prototyping

React

CSS

Projects

AI-Powered Virtual Patient Support System

Lead Developeracademic

Developed an AI-powered healthcare platform in collaboration with Speridian Technologies to automate patient support using intelligent conversational workflows. Designed RAG pipelines and AI agents for hospital information retrieval, appointment scheduling, insurance assistance, medical report summarization, and emergency detection. Integrated LLMs with hospital knowledge bases to deliver context-aware, accurate natural language responses through RESTful APIs.

PythonLangChainRAGMEAN StackAngularNode.jsExpress.jsMongoDBREST APIsHugging Face embeddingsGroq modelsCSS

View the code

Machine Learning-Based Classification of SARS-CoV-2 Structural Proteins

Researcheracademic

Developed supervised machine learning models to classify SARS-CoV-2 structural proteins using amino acid composition features extracted from 40,000+ protein sequences. Implemented Random Forest, SVM, Logistic Regression, Decision Tree, and KNN, achieving up to 98% classification accuracy. Published the research findings in the Journal of Computing & Biomedical Informatics.

Machine LearningPythonRandom ForestSVMLogistic RegressionDecision TreeKNN

View the code

Education

Bachelor of Science in Computer Science

Namal UniversityComputer ScienceGPA 3.61Oct 2022 – Jun 2026

Thesis. AI-Powered Virtual Patient Support System

Societies & activities

Competitive Programming competitionsPrompt Engineering competitions

Intermediate in Computer Science (ICS)

Superior College PiplanComputer ScienceJun 2020 – Jun 2022

Recognition

Awards

Peer-reviewed Machine Learning research paper publication

Journal of Computing & Biomedical Informatics2026

Published research in computational biology regarding SARS-CoV-2 structural proteins.

Competitive Programming Participant

Namal University

Participated in university-level programming competitions.

Prompt Engineering Competition Participant

Namal University

Participated in university-level prompt engineering competitions.

Certifications

VORZA Summer Fellowship Program 2026

VORZA2026

Patents & publications

Machine Learning-Based Classification of SARS-CoV-2 Structural Proteins Using Amino Acid Composition Analysis

publication10.56979/1002/2026/12042026

Journal of Computing & Biomedical Informatics, Vol. 10, No. 02

Read it

Hire HarramReach out about a role, a contract or a conversation.For recruiters

Harram's twin is AI, it can make mistakes.

More people on Kanvis

Browse more people Create your own Kanvis