Md Sajid Khan

Senior Data Quality Specialist at Coding Cohere Inc.

Verifying and validating coding outputs from LLMs to ensure accuracy and reliability; developing automated validation processes; collaborating with cross-functional teams to improve code validation and quality.

Advanced Coders at Scale AI

Utilized Generative AI and LLMs to enhance Prompt Engineering; fine-tuned and implemented LLMs and transformer architectures to improve NLP and automation; achieved ~10% improvement in model accuracy and ~15% reduction in response time; developed sentiment analysis model using Azure ML, SageMaker, and Hugging Face transformers.

Intern at Mitacs

Led the development of a Proof of Concept (POC) to predict network future conditions with 80% accuracy using a deep learning model; implemented CI/CD pipelines for the MLOps workflow; researched EC2/Terraform for WebRTC video conferencing at scale.

Research Assistant at University of Regina

Led development of a POC for the Canadian Air Force achieving notable accuracy improvements with deep learning; mitigated 5G DoS/DDoS attacks using big data analytics and PCA; created data visualizations and simulated a 5G network slice using free5GC and ueransim.

Team Lead (Technical) at Reve Systems Limited

Led cross-functional teams to design and upgrade VoIP dialer apps with ML/AI integration; integrated Google ML Kit for image-based identity verification, accelerating verification processes by ~90%; delivered products ahead of schedule, achieving cost savings.

Senior Software Developer at Shohoj Limited

Designed and architected a high-traffic launch ticket app; implemented a barcode scanning app with high accuracy; contributed to scalable and performant software delivery.

Senior Software Engineer at Samsung R&D Institute Bangladesh

Implemented Android customization systems; enhanced Wi-Fi Direct functionality via NFC integration; reduced issue resolution time through collaborative knowledge-sharing.

Senior Data Quality Specialist at Coding Cohere Inc.

Verifies and validates coding outputs produced by LLMs to ensure accuracy and reliability of model performance. Develops automated validation processes to enhance QA efficiency and collaborates with cross-functional teams to establish best practices for code validation and quality improvement. Technologies used include Python, NumPy, Pandas, Scikit-learn and related tools.

Advanced Coders - AI Training at Scale AI

Utilized Generative AI and LLMs to enhance prompts engineering; fine-tuned and implemented LLMs and transformer architectures to improve NLP and automation. Improved model accuracy and reduced response time; developed sentiment analysis model using Azure ML, Amazon SageMaker and Hugging Face transformers.

Intern at Mitacs

Led development of a Proof of Concept to predict network future conditions with 80% accuracy using a Deep Learning model; implemented CI/CD pipelines for MLOps; conducted research on EC2 within AWS and Terraform for WebRTC video conferencing at scale.

Research Assistant at University of Regina

Led POC development for Canadian Air Force; improved accuracy with deep learning (CNN, BLSTM); mitigated 5G DoS/DDoS attacks using big data with PCA; created data visualizations and simulated 5G network slices using free5GC and ueransim to accelerate deployment by 60%.

Team Lead (Technical) at Reve Systems Limited

Designed and upgraded VoIP dialer app with ML/AI integration; led cross-functional teams in Agile delivery; implemented image detection with Google ML Kit for faster identity verification, delivering cost savings and earlier releases.

Senior Software Developer at Shohoj Limited

Designed and architected launch ticket app for millions; developed barcode scanning app achieving 95% accuracy; optimized performance and UX within lean/agile processes.