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AI Engineer with less than a year in CV, NLP, and MLOps, building and deploying production ML pipeli
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AI/ML Engineer with production-ready FastAPI and Docker experience from O2Geeks AI internship, working on CV, NLP, and RAG systems. Built a full-stack AI marketplace with Next.js and pgvector-based recommendations, and developed YOLOv8-based cricket ball/bat tracking solutions. Founder of a 250+ member AI/ML society, delivering hands-on training from Python fundamentals to end-to-end MLOps pipelines.
COMSATS University Islamabad, Attock Campus
B.S. · Artificial Intelligence
August 1, 2023 – June 30, 2027
O2Geeks AI Program
AI/ML Intern
July 1, 2025 – August 29, 2025
Pakistan
Campus Exchange
January 1, 2023 – June 1, 2026
Built AI-powered campus marketplace using Next.js, FastAPI, PostgreSQL (pgvector), Redis with 15% pricing accuracy gain and personalized recommendations. Deployed a full-stack production system addressing student scams and expense sharing across verified users.
View ProjectCricket Ball & Bat Detection + Speed Measurement (YOLOv8n)
January 1, 2023 – June 1, 2026
Trained YOLOv8 models for ball-bat detection and hit events using bounding-box overlap and Ultralytics tracking. Implemented 3D trajectory reconstruction via Tomasi-Kanade for real-time speed estimation.
View ProjectVoice-ID & Clone: Integrated Speaker Identification and Neural Voice Cloning System
January 1, 2023 – June 1, 2026
Developed a robust speaker identification engine using SpeechBrain ECAPA embeddings and a custom-calibrated cosine similarity threshold (0.4814) to accurately authenticate enrolled users against unknown queries. Designed multi-stage audio pipeline with Coqui TTS and automated preprocessing (OGG/MP3/WAV → 16kHz).
View ProjectHeart disease, Bank churn prediction using ML models and different neural networks
January 1, 2023 – June 1, 2026
Used Boosting algorithms and pipelines for better accuracy also used MLP's and FNN for prediction.
View ProjectPython for Data Science
Anaconda
January 1, 2024 – Present
Career Essentials in Generative AI
Microsoft & LinkedIn
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's involvement in founding an AI/ML society and mentoring, along with their role as a Microsoft Learn Student Ambassador, suggests a proactive and community-oriented individual. Their diverse project portfolio, ranging from marketplace solutions to real-time object detection and voice identification, indicates a broad interest in AI applications and a willingness to explore different domains. This aligns well with a culture that values innovation, continuous learning, and knowledge sharing. The candidate's current student status and internship experience suggest a growth mindset, which is beneficial for cultural integration.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through founding an AI/ML society and mentoring. Their project descriptions suggest a problem-solving mindset and an ability to work on complex, multi-faceted systems. The internship experience indicates an ability to work under guidance and deliver production-ready solutions. However, without specific behavioral assessment data, a deeper analysis of stress handling, team collaboration, and work attitude is not possible.