Sultan M.
Lead Artificial Intelligence and Machine Learning Engineer
Experience
Oct 2022 - Present
3 years 3 monthsLead Artificial Intelligence and Machine Learning Engineer
The Genius Group (TGG)
- Architected and deployed AI-powered solutions across multiple domains, ensuring high scalability and cost-efficiency, reducing operational inefficiencies by 45%.
- Spearheaded the development of a Generative AI Assistant based on LLaMA2 7B, fine-tuned with custom data, resulting in a 45% reduction in customer support ticket volume.
- Designed and deployed an invoice parsing system that integrates OCR, NLP, and image processing, enabling the extraction of key data points from invoices, reducing manual data entry time by 50%.
- Led AI model optimization using techniques such as quantization, LoRA, and PEFT, significantly improving inference speed and reducing deployment costs.
- Built and maintained end-to-end ML pipelines on AWS and Azure, managing everything from data collection and preprocessing to model training and deployment.
- Developed cloud-native services with AWS EC2, S3, RDS, and Lambda to support real-time ML model inference and data processing workflows.
- Integrated machine learning models into customer-facing applications, improving response time and user satisfaction by 35%.
- Automated repetitive data processing tasks such as tokenization, lemmatization, and sentiment analysis, allowing for seamless scalability and efficiency across multiple platforms.
- Collaborated cross-functionally with data engineers and product managers to define AI-driven product roadmaps, resulting in successful product launches that contributed to business growth.
Mar 2021 - Sep 2022
1 year 7 monthsData Scientist
IBM
- Developed an advanced recommendation system using BERT embeddings and cosine similarity, automating data matching processes, improving accuracy by 50% and reducing manual work.
- Engineered a CNN-based system for detecting invasive species using thermal images from wildlife cameras, utilizing TensorFlow for real-time image processing and model training.
- Utilized PySpark for large-scale data processing, optimizing workflows and ensuring high performance in big data environments.
- Built and deployed machine learning models for various use cases, including fraud detection, customer segmentation, and predictive maintenance, significantly improving decision-making accuracy.
- Implemented multilingual NLP solutions using PyTorch and spaCy, enhancing cross-lingual communication and reducing translation costs by 30%.
- Designed and deployed a chatbot utilizing NLP techniques to automate customer service inquiries, enhancing user engagement and reducing human labor by 40%.
- Led the migration of a cloud-based translation system to an on-premise solution, improving data privacy, security, and cost-efficiency by 30%.
- Optimized data processing workflows by integrating data from multiple sources (SQL, NoSQL) into cohesive models, reducing data latency by 25%.
- Collaborated with cross-functional teams to identify AI opportunities and deliver custom AI-driven products, resulting in enhanced customer satisfaction and operational efficiency.
Apr 2020 - Feb 2021
11 monthsMachine Learning Engineer
DataOnMatrix
- Developed and deployed machine learning models to solve complex business challenges, utilizing deep learning and NLP techniques to enhance system performance.
- Built and optimized data pipelines for model training and deployment, ensuring seamless integration and real-time data processing in production environments.
- Led the implementation of an AI-powered chatbot, leveraging transformer models like BERT for natural language understanding and improving user interaction by 40%.
- Designed and implemented a recommendation engine using cosine similarity and BERT embeddings, improving data accuracy and reducing manual effort by 50%.
- Integrated cloud-based solutions (AWS, Azure) for scalable model deployment, streamlining workflows and enabling real-time decision-making capabilities.
- Applied PySpark and Scikit-Learn to analyze large datasets, building custom models for predictive analytics and classification tasks.
- Collaborated closely with cross-functional teams to define AI objectives, develop product roadmaps, and deliver impactful machine learning products on time.
Summary
Transformational Senior Machine Learning Engineer with 5+ years of hands-on experience in developing, deploying, and scaling cutting-edge AI and ML solutions across diverse industries including Healthcare, Finance, and Security. Skilled in AI-powered automation, data-driven product innovation, and cloud-native machine learning architectures.
Proven ability to leverage state-of-the-art deep learning, NLP, and ML Ops frameworks to solve complex real-world problems, streamline operations, and drive business performance. My work focuses on building high-impact solutions that enhance user experiences and deliver measurable outcomes.
Languages
Urdu
NativeEnglish
AdvancedEducation
Aug 2016 - Aug 2020
National University of Computer and Emerging Sciences
Bachelor's degree · Computer Science · Karachi, Pakistan
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