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AI Engineer with less than a year in Data Analytics and Machine Learning.
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Assessing your cultural and operational fit
Motivated Computer Science student specializing in Artificial Intelligence and Data Analytics. Proven experience in developing computer vision solutions (OpenCV), NLP pipelines (RAG, Whisper), and predictive models using Scikit-Learn. Passionate about transforming complex clinical and genomic data into actionable visual insights
National University of Technology (NUTECH)
Bachelor of Science · Computer Science (BSCS)
N/A – June 30, 2027
BBM
Research Machine Learning Engineer
February 1, 2025 – Present
Rawalpindi District, Punjab, Pakistan
EchoCanvas: Real-time Audio Visualizer
June 23, 2026 – Present
Built a responsive real-time audio visualization web application using Web Audio API and Canvas. Developed full-stack solution with Next.js supporting high concurrent users with smooth synchronized audio-visual effects.
GlobalTTS-X: Advanced Multilingual Text-to-Speech System
June 23, 2026 – Present
Designed and developed a real-time multilingual TTS system supporting 100+ languages including Urdu, Punjabi, Hindi, and Arabic with regional accents. Integrated Whisper STT, speaker diarization, emotion detection, and voice cloning for natural and context-aware speech synthesis. Built a user-friendly Streamlit web application with features like real-time translation, audio watermarking, and emotion-based voice modulation. Fine-tuned models on regional voice datasets for improved cultural adaptability and accent preservation.
View ProjectRetrieval-Augmented Generation (RAG) Pipeline
June 23, 2026 – Present
Retrieval-Augmented Generation (RAG) pipeline using transformer embeddings for sentiment analysis of YouTube comments. Created an interactive Streamlit dashboard for real-time visualization of sentiment trends and explainable insights. Implemented contextual analysis to generate positive, negative, and neutral summaries with supporting evidence.
View ProjectHospital-Grade Vision Screening System
June 23, 2026 – Present
Developed a Hospital-Grade Vision Screening System using Python, OpenCV, and Flask for automated eye health assessment. Implemented 8 medical-grade vision tests including Myopia, Hyperopia, Astigmatism, Color Vision, and Visual Field testing. Integrated real-time face and eye detection using computer vision for live patient monitoring and response tracking. Designed an intelligent scoring system to automatically evaluate test results and generate vision health diagnosis. Built interactive web interface using Flask for user-friendly hospital and clinic deployment.
View ProjectPARTICIPANT – HACKATHON
UNSTOP
June 1, 2026 – Present
PYTHON ONLINE QUIZ COMPETITION
UNSTOP
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications for AI, from multilingual TTS to medical vision screening and sentiment analysis. This breadth, combined with a stated passion for AI in healthcare, suggests adaptability and a willingness to explore different problem domains. The part-time Research Machine Learning Engineer role at BBM further reinforces an interest in applied research and development, aligning well with an AI Engineer role that often requires innovation and problem-solving across various contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and analytical skills through their project work. Their participation in hackathons and project documentation efforts suggest a collaborative and organized approach. The passion for AI in healthcare indicates a mission-driven mindset, which can be a good cultural fit for teams focused on impactful applications.