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AI Engineer with less than a year in Machine Learning & 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
Computer Science graduate with strong Python and Machine Learning skills, and leadership experience from international volunteer teaching programs.
University of the Punjab, Gujranwala campus
Bachelors in Computer Science · Computer Science
August 1, 2022 – June 30, 2026
PUNJAB GROUP OF COLLEGES
Fsc. pre medical
June 1, 2019 – May 31, 2021
JAMIA IDREESIA GIRLS HIGH SCHOOL
Matriculation
June 1, 2017 – May 31, 2019
Stanford University's Code in Place
Section Leader
April 1, 2026 – May 31, 2026
India
Royal Students Welfare Society
Volunteer
November 1, 2025 – Present
India
HashTech LLC
Junior Python developer / Intern
May 1, 2025 – September 30, 2025
USA
SignWhispers
January 1, 2026 – June 1, 2026
Building a system to translate American Sign Language (ASL) gestures into text and speech in multiple languages. Using OpenCV, MediaPipe and machine learning for real-time gesture recognition. Web Application built on REACT for frontend and connected to backend and ML model using Python Fast API.
Oracle Fusion AI Agent Studio Foundations Associate
Oracle
June 1, 2026 – Present
Intro to Gen AI & Responsible AI
Google Cloud
June 1, 2026 – Present
AI Engineer Core Track – LLM Engineering, RAG, QLoRA, Agents
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in academic projects, volunteer work, and an international teaching role suggests a well-rounded individual with a collaborative spirit and a commitment to learning and contributing. Their diverse experiences, from technical internships to leadership roles, indicate an ability to adapt to different environments and work effectively with diverse groups. The focus on AI-related projects and certifications aligns well with an AI Engineer role, demonstrating a clear career interest and dedication.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and communication skills through their role as a Section Leader at Stanford, where they taught technical concepts to an international group. Their volunteer work also highlights initiative and social responsibility. The project 'SignWhispers' shows an ability to work in a team and deliver a complex technical solution. The candidate's proactive pursuit of certifications indicates a strong drive for continuous learning and adaptability, which are valuable for operational fit in a fast-evolving field like AI.