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AI Engineer with less than a year in AI, NLP & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated junior Data Scientist and Kaggle Grandmaster with 7 months of professional experience in data analysis, machine learning, and natural language processing. Proven ability to coordinate cross-functional teams, design targeted campaigns, and author highly-voted public notebooks recognized for clarity and educational value. Skilled in implementing ML algorithms, fine-tuning transformer models, and developing conversational AI applications and interactive dashboards to drive business insights.
FAST National University of Computer & Emerging Sciences
Bachelor of Science · Data Science
August 1, 2023 – June 30, 2027
Gao Teck Inc.
Business Development Intern
April 1, 2026 – Present
New York City, New York, United States
Atomcamp
Data Science Trainee
June 1, 2024 – October 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Kaggle
Kaggle Grandmaster
January 1, 2024 – Present
India
Akkadian-to-English Neural Machine Translation
March 1, 2026 – March 1, 2026
32nd / 2,673 teams (top 1.2%) in Kaggle's low-resource NLP translation challenge. Fine-tuned transformer-based seq2seq architectures with custom tokenization and data augmentation for scarce historical datasets; optimized with beam search decoding and BLEU-score-driven tuning.
AI Chatbot with Streamlit & OpenAI
January 1, 2026 – January 1, 2026
Built a real-time conversational AI app with custom CSS UI, persistent chat history, and dynamic model selection; deployed publicly on Streamlit Cloud with secure API key management.
Hotel Revenue Dashboard
January 1, 2025 – December 31, 2025
Developed an interactive hotel performance dashboard featuring revenue analysis, occupancy tracking, ADR, RevPAR, and realization metrics with dynamic filters and trend visualizations. Designed KPI cards, weekly trend charts, and property-wise comparison tables to transform raw booking data into actionable business insights for decision-making.
AI Voice Legal Intake Assistant
January 1, 2025 – December 31, 2025
Developed a multi-agent AI voice assistant for automating legal client intake through real-time phone calls using LLMs, speech recognition, and voice synthesis technologies. Integrated Twilio SIP, PostgreSQL, SendGrid, and Zapier to enable automated call routing, structured case data extraction, intake reporting, and CRM workflow automation.
Machine Learning Specialization
Stanford University (Coursera)
August 1, 2025 – Present
Data Science Bootcamp
Atomcamp
October 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong drive for excellence through their Kaggle achievements and diverse personal projects. Their academic background in Data Science, coupled with practical application in AI/ML, aligns well with an innovative and results-oriented culture. The breadth of technologies used across projects (Python, various ML/DL frameworks, databases, cloud deployment) suggests a willingness to learn and adapt. The 'Business Development Intern' role, while not technical, shows exposure to business operations and stakeholder reporting, which can be valuable in understanding the broader impact of AI solutions.
Soft Skills & Operational Fit
The candidate's Kaggle Grandmaster status and contributions to public notebooks suggest strong self-motivation, continuous learning, and a collaborative spirit. The 'Squad Leader' role, even in an internship, indicates nascent leadership and team coordination abilities. The project descriptions are clear and highlight problem-solving and practical application, suggesting good communication of technical concepts. The candidate's ability to work on diverse projects (NLP, voice AI, data visualization) indicates adaptability and a broad interest in AI applications.