About
AI/ML Engineer with a published IEEE review paper and production deployment experience in multimodal deep learning systems. Skilled in building end-to-end pipelines spanning LLM applications (LangChain, LangGraph, RAG), computer vision, and audio-visual deepfake detection. Experienced across the full AI lifecycle model architecture design, fine-tuning (LoRA/QLoRA), cloud deployment (AWS), and MLOps. Passionate about building scalable, ethical AI systems that solve real-world problems.
Skills & Expertise (33)
Work Experience
Software Development Intern
TapMo India
Aug 2025 - Present
Applied AI/ML for NFC smart card platform optimization, using user behavior analytics and data parsing to personalize digital profiles and enable seamless contactless sharing. Built ML models to analyze event interactions, delivering predictive insights that boosted engagement and lead capture efficiency. Automated workflows with ML-based image processing, cutting onboarding time and supporting rapid, secure customization of NFC cards via cloud integration. Implemented MLOps pipelines for scalable AI deployment, enhancing system reliability and networking efficiency for professionals.
Data Science Engineer Intern
IBM
Sep 2024 - Sep 2024
Architected production-grade stock prediction system using ensemble learning (Random Forest + XGBoost) with LSTM for time-series forecasting, achieving 78% directional accuracy on data from NIFTY 50, S&P 500, and Yahoo Finance stocks like Reliance and TCS. Optimized via feature engineering (technical indicators like moving averages/RSI, sentiment analysis from news APIs), cutting training time 45% through GridSearchCV hyperparameter tuning and data augmentation, boosting accuracy 12% per RMSE/MAE metrics. Added robust testing with pytest and MLflow experiment tracking, reaching 95% code coverage and enabling automated CI/CD for scalable AWS deployment, aiding real-time financial decisions in volatile markets.
Full-Stack Development Intern
IBM
Oct 2023 - Oct 2023
Developed and launched an end-to-end car marketplace platform using modern web technologies (HTML5, CSS3, JavaScript ES6+), integrating AI-driven recommendation systems to enhance user personalization. Engineered intelligent chatbot using AWS Lex and Lambda, handling 200+ customer inquiries daily with 85% resolution rate without human intervention. Gained expertise in big data technologies including Apache Spark and Hadoop, processing 10GB+ datasets for market analytics.
Education
Bachelor of Technology in Computer Science & Engineering (Artificial Intelligence and Machine Learning) - Dr.A.P.J.Abdul Kalam Technical University
2022 - 2026 · Afghanistan
Intermediate - St. Antony’s Inter College
2020 - 2021 · Afghanistan
Matriculation - St. Antony’s Inter College
2018 - 2019 · Afghanistan
Certifications
IBM Skills Network Foundational “Data Science Tools” certification
· 2024
Infosys Springboard-Refactoring ML/DL Algorithms: Techniques & Principles
· 2024
Python Programming Certification
GUVI – Google for Education Partner · 2023
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Skills (33)
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