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Entry-level AI Engineer with strong Python, Machine Learning, and frontend development skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Hands-on experience in Machine Learning and AI-powered applications, including RAG pipelines using LangChain and vector databases. Skilled in Python, ML workflows, and modern frontend technologies, with a strong focus on building scalable, practical, and user-focused solutions.
University of Agriculture Faisalabad
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2024
AI & Machine Learning Projects
June 24, 2026 – Present
Developed multiple ML models including Logistic Regression, Random Forest, and Decision Trees for real-world prediction tasks. Built customer churn prediction system using Random Forest to analyze retention patterns. Created price prediction models for cars and houses using Decision Tree algorithms. Implemented data preprocessing and visualization using Pandas, NumPy, and Matplotlib (Titanic dataset).
TechPhantom, Pizza & Doctor Chatbots
June 24, 2026 – Present
Designed AI-powered chatbot systems to assist users with technical queries, food ordering, and basic medical guidance. Integrated LLM-based responses to provide explanations, code suggestions, and problem-solving support. Focused on improving user interaction for beginners and intermediate learners in programming and AI.
Auto Smart Ticket Agent
June 24, 2026 – Present
Developing an automated ticket generation system using Inngest, MongoDB, Google APIs, Express.js, and JWT authentication. Implementing backend workflows for task automation and secure user handling.
FRONTEND PROJECTS
June 24, 2026 – Present
Developed business website for Vicky Traders using Next.js. Built responsive web applications including Pizza App and Champion Belts website. Designed reusable UI components and optimized performance using modern frontend practices.
Doc Reader (RAG-based System)
January 1, 2024 – January 1, 2024
Designed and implemented a document intelligence system using LangChain, ChromaDB, and Google Generative AI. Converted PDF documents into vector embeddings for semantic search. Enabled context-aware answer generation from uploaded documents.
Machine Learning
Nexus Berry
November 1, 2023 – Present
Frontend Web Development
Saylani Faisalabad
August 1, 2023 – Present
Graphic Designing
ASCASA Tech
October 1, 2022 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from core ML model development to RAG systems and even frontend development. This breadth suggests an adaptable individual who is willing to explore different technical areas. The focus on practical applications (customer churn, price prediction, chatbots) aligns with a results-oriented culture. The academic and personal projects indicate a proactive learning attitude, which is a positive cultural fit for roles requiring continuous skill development. However, the lack of team-based project descriptions or professional experience limits a deeper assessment of collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a focus on user-focused solutions and improving user interaction, suggesting an inclination towards practical application and problem-solving. The academic and personal projects demonstrate initiative and a self-driven learning approach. However, without direct work experience or behavioral assessment data, it's difficult to fully assess soft skills like teamwork, communication under pressure, or adaptability in a professional operational environment.