
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Assistant Project Manager |AI engineer@ Haana Tech | Machine Learning, .NET Framework|Angular|Fintech solutions
Software engineer and assistant project manager at HAANA TECH. Specialized in Computer Science with a focus on Artificial Intelligence and Machine Learning. Recently contributed to Zas Tech's ERP Financial Modules project, gaining hands-on experience in bug fixing, performance optimization using parallel computing, and integrating machine learning to predict delays and enhance usability. Previously interned at AL Bijjar Trading, collaborating with the procurement department to understand ERP procurement modules, including inquiries, offers, and payment systems. Motivated to leverage technical skills like Python, Streamlit, and Transformers to build impactful, intelligent applications.
Brunel University of London
Artifical intelligence, Computer Science
September 1, 2025 – September 1, 2026
Beaconhouse
High School , Pre-Engineering
January 1, 2005 – January 1, 2019
Zas Tech,Pakistan
Assistant Project Manager
September 1, 2024 – December 1, 2024
Pakistan · On-site
AL Bijjar Trading ,UAE
Internship Trainee
June 1, 2023 – September 1, 2023
UAE · Hybrid
CV screening and Resume parser
May 1, 2025 – May 1, 2025
Modern recruitment workflows increasingly rely on intelligent filtering to screen large pools of resumes. Conventional Applicant Tracking Systems (ATS) use static keyword matching or rule based logic [2]. This often leads to biased or contextually poor results. Furthermore, these systems lack transparency and struggle with niche job roles. This research introduces an AI-powered resume screening and matching pipeline. Our key contributions are:– ABERT-based classifier augmented with structured field tagging (e.g., [Fi nance]) to improve domain sensitivity.– A semantic retrieval engine using SBERT for context rich matching. This matches with user provided resumes or job descriptions.– Afairness toggle that switches between upload and search modes.– Areal-time web interface implemented in Streamlit for usability.– An ablation study analyzing the influence of key hyperparameters
Khud Suno App
August 1, 2024 – Present
Final year project A video call app for smooth communication of deaf and dumb people[React Native,Unity 3D,lama,Blender,Firebase,Django] Sign to text and text to sign language conversion in real time by training models on huge datasets
Brick Breaker Game
April 1, 2022 – May 1, 2022
designed and coded a bring breaker game in assembly language
Cultural Fit Analysis
The candidate's project diversity, ranging from a video call app for the deaf to a resume parser and a brick breaker game, shows a broad interest in technology and problem-solving. The academic pursuit of AI and Computer Science, combined with practical ML projects, aligns with an innovative and technically driven culture. The Assistant Project Manager role, even if part-time, suggests an ability to contribute to a team and manage tasks. However, the experience level (1) indicates a junior profile, which might require more mentorship in a senior-level cultural setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-technology projects. The Assistant Project Manager role at Zas Tech indicates exposure to operational aspects like bug fixing and performance optimization, which are valuable for understanding the deployment and maintenance of ML systems. However, specific soft skills like teamwork, problem-solving under pressure, or leadership are not explicitly detailed in the provided data.