Awais Aleem

AI engineer

1-3 years of experience

About

I’m a AI Engineer with hands-on experience in building and deploying machine learning models using Python, scikit-learn, and FastAPI. During my internship, I worked on transforming raw data into actionable insights and developed APIs to serve ML models in real-world scenarios. My technical strengths include data analysis, model development, API deployment, and automation workflows using tools like Huginn, MySQL, and PostgreSQL.I specialize in NLP and computer vision fundamentals, and I’m currently building a skill-matching ML pipeline that compares parsed CVs to job descriptions to automate candidate screening. I’m also developing a portfolio website using React and FastAPI to showcase my work and APIs.Driven by curiosity and impact, I aim to become a Machine Learning Engineer who builds scalable, ethical, and intelligent systems for HR, healthcare, and beyond.

Skills

Python
React
C++
Machine Learning
Langchain
RAG
FastAPI
Deep Learning
Docker
Git
LLM
Java
NLP
MongoDB

Experience

Junior Data Scientist
Dynsof Solutions · Jan 12 2026 - July 15 2026
As a Junior Data Scientist at Dynsof, I contribute to solving real-world business problems through data-driven insights and machine learning solutions. My role involves:• Data Preparation & Analysis• Collecting, cleaning, and transforming raw institutional and business data into structured formats for accurate reporting.• Applying statistical techniques and exploratory data analysis to uncover trends and patterns.• Machine Learning & Model Development• Building and evaluating predictive models using Python and ML libraries such as scikit-learn, pandas, NumPy, and PyTorch.• Experimenting with clustering, classification, and regression techniques to optimize business workflows.• Workflow Automation• Designing automated pipelines to streamline repetitive tasks and improve efficiency.• Deploying models and APIs with tools like FastAPI, Streamlit, and Docker for seamless integration into production environments.• Collaboration & Communication• Working closely with cross-functional teams to translate business requirements into technical solutions.• Documenting processes and presenting insights in a clear, recruiter-friendly format for stakeholders.• Continuous Learning• Exploring new libraries and frameworks (e.g., sentence-transformers, rapidfuzz, mlxtend) to enhance feature engineering and semantic search.• Staying updated with industry practices to grow into an AI Engineer role in the future
Data Science Intern
Digital Empowerment Network · July 25 2025 - Sep 27 2025
Exploratory Data Analysis (EDA): Identify patterns, anomalies, and data quality issues in datasets.Data Cleaning & Preprocessing: Manipulate and consolidate data from multiple sources using Python libraries (pandas, numpy).Statistical Analysis: Perform hypothesis testing (t-tests, ANOVA, chi-square) to validate experiments and product changes.

Education

bachelor · Computer Science · Punjab University Lahore · 2026