Help & Supportcareers@gravityer.com
Fullstack Engineer with 1+ years in LLMs, RAG & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduating AI Engineer From National University Of Technology Islamabad as a Gold Medalist while having 1 year hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and NLP system development. I am skilled in fine-tuning models, building scalable AI pipelines, and deploying ML services using Python. Proven ability to deliver end-to-end AI solutions—from data processing and model training to API integration and production deployment.
National University Of Technology Islamabad
Bachelors of Artificial Intelligence · Artificial Intelligence
November 1, 2022 – June 1, 2026
Red Coast
Full Stack AI Engineer
December 1, 2025 – May 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Target Systems
AI Engineer
July 1, 2025 – September 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Query-Mancer: AI wizard For Smart Databases
September 1, 2025 – May 1, 2026
Built a full-stack web application allowing users to query relational databases using plain English from backend NLP pipeline to interactive Streamlit frontend. Achieved 85% query accuracy and 70% faster processing through optimized backend architecture, schema-aware validation, and efficient database integration.
Cultural Fit Analysis
The candidate's project diversity, including a personal full-stack AI project, shows initiative and a broad interest in applying AI solutions. Their academic background in AI and practical experience in AI/ML engineering roles align well with an innovative, tech-driven culture. The listed skills cover a wide range of modern technologies, indicating adaptability and a willingness to learn new tools.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and application, as evidenced by their academic achievements and project work. Their experience in Agile environments suggests an ability to collaborate effectively in cross-functional teams. The project descriptions indicate a focus on problem-solving and efficiency.