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My name is Abdul Samad S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Python, Large Language Model, Machine Learning, AI Chatbot, Data Science, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: StockSeer-API - Stock Price Prediction, BestRAG - Python Library for Agentic Search RAG, QueryPLS: SQL Code Generation Agent, MediSync: Streamlined Hospital Management System. I am based in Karachi, Pakistan. I've successfully completed 4 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
Main technologies
AI, Python and Machine Learning Platforms
3 years
Python
1 Year
Large Language Model
1 Year
Machine Learning
2 Years
Additional skills
- Python
- Large Language Model
- Machine Learning
- AI Chatbot
- Data Science
- Git
- Langchain
- FastAPI
- AI Agent Development
- GitHub
- Retrieval Augmented Generation
- Vector Database
- LLM
Direct hire
Potentially possible
Previous Company
Techlogix
Experience Highlights
StockSeer-API - Stock Price Prediction
I developed StockSeer-API, a FastAPI-based application for stock price prediction. Using machine learning models like RandomForestRegressor, ExtraTreesRegressor, LinearRegression, KNeighborsRegressor, and LSTM, the API predicts closing stock prices based on historical data fetched from Yahoo Finance. It supports data preprocessing, model training, and future price forecasting. StockSeer-API offers an interactive interface via FastAPI documentation for seamless integration. Users can train custom models and make predictions, with clear disclaimers about financial decision-making risks.
BestRAG - Python Library for Agentic Search RAG
I created BestRAG, a Python library that efficiently stores and retrieves embeddings using hybrid Retrieval-Augmented Generation (RAG). By integrating dense, sparse, and late interaction embeddings, it ensures robust search performance for large datasets. Key features include PDF integration for seamless embedding storage and retrieval. BestRAG gained 1.3K+ downloads within its first month, showcasing its impact and usability. Developers have praised its simplicity, API integration, and performance, making it a valuable tool for document and data management solutions.
QueryPLS: SQL Code Generation Agent
Developed QueryPLS, a cutting-edge web application that leverages advanced AI and Large Language Models (LLMs) to seamlessly convert natural language queries into accurate SQL statements. Recognized by LangChain for its innovation, QueryPLS ensures high accuracy, efficiency, and user-friendly interaction
MediSync: Streamlined Hospital Management System
MediSync is a comprehensive hospital management solution designed to address the challenges of efficient patient record management, doctor scheduling, and appointment coordination. Leveraging Django, HTML, CSS, JavaScript, and REST API, I developed this robust system to streamline healthcare facility operations. MediSync offers a user-friendly interface that centralizes patient and doctor data, automates appointment scheduling, and ensures secure data management.
Education
NED University
Bachelor's degree in Software Engineering
2021-01-01-2025-01-01
Languages
- English
Github
Stackoverflow