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AI Engineer with 1+ years in LLMs, RAG & AI Automation.
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Results-driven AI Engineer and Full Stack AI Developer with hands-on experience building and deploying intelligent applications using GPT, Gemma, BioBERT, and other advanced LLMs. Proven expertise in LangChain, RAG pipelines, multi-agent systems, and AI automation tools (N8N, Zapier, Make.com). Skilled in integrating OpenAI, Claude, and Hugging Face APIs into scalable web applications. Adept at developing chatbots, recommendation engines, voice-calling agents, and end-to-end ML pipelines with a strong focus on performance, reliability, and ATS-ready deliverables.
Hazara University
Bachelor of Science · Computer Science
August 1, 2021 – June 30, 2025
Paragon International College of Commerce and Computer
Diploma · Information Technology
August 1, 2019 – June 30, 2020
Government Post Graduate College, Mansehra
HSSC · Pre-Engineering
June 1, 2016 – May 31, 2018
ZeltaCode
Full Stack AI Engineer
February 1, 2026 – Present
Gujrat, Punjab, Pakistan
Media @ Marsons
AI Developer & Integration Specialist
November 1, 2025 – December 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Boston Consulting Group (BCG)
Generative AI Consultant (Job Simulation)
August 1, 2024 – August 31, 2024
India
Petalnex Private Limited
Junior Machine Learning Engineer
March 1, 2024 – April 30, 2025
Mansehra, Khyber Pakhtunkhwa, Pakistan
Smart E-commerce AI Assistant
June 24, 2026 – Present
Developed an LLM-powered assistant offering real-time product recommendations and personalized shopping experiences. Integrated long-term memory, planning, and tool-use features using LangChain for advanced user interactions. Deployed with a Flask-based frontend ensuring responsive and user-friendly performance.
Diet Plan Generator with LLMs
June 24, 2026 – Present
Created a health-focused AI tool generating personalized diet plans based on age, weight, and medical data. Used prompt engineering and structured inputs to guide LLM responses with accurate, relevant nutrition output. Applied rule-based filters and model evaluation techniques to improve reliability and dietary accuracy.
Car Price Predictor
June 24, 2026 – Present
Built a regression model using historical car data to predict prices with improved accuracy. Performed data cleaning, feature engineering, and model evaluation to optimize performance. Designed a user-friendly Flask interface allowing real-time predictions through direct user input.
Spam Email Detection System
June 24, 2026 – Present
Engineered a spam detection model using NLP techniques achieving 99.9% accuracy. Applied TF-IDF vectorization and model evaluation to enhance classification accuracy. Deployed via Flask with a simple frontend for testing and demonstrating predictions.
Data Analysis
Unknown
June 1, 2026 – Present
Google AI Essentials
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Generative AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce assistants to health-focused diet generators and spam detection, indicates a broad interest in applying AI across various domains. The experience with different companies, including a job simulation with BCG, suggests an openness to diverse work environments and challenges. The listed soft skills align with a collaborative and problem-solving culture. The focus on full-stack AI engineering and integration aligns well with roles that require a holistic approach to AI product development.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, team collaboration, leadership, analytical thinking, and creativity as soft skills. The project descriptions and work experience suggest an operational fit for roles requiring end-to-end AI solution development and deployment, including integration with existing systems and automation. The diverse project portfolio indicates adaptability and a proactive approach to learning and applying new technologies.