Experience & Education

Responsibilities

• •Developed and implemented advanced computer vision models for pose estimation, object detection, segmentation, and tracking
• •Architected and executed efficient Python pipelines for model optimization and retraining
• •Deployed scalable computer vision solutions on cloud platforms using MLOps practices
• •Created end-to-end machine learning pipelines for object detection and recognition
• •Building innovative solutions that benefit mankind using latest technology (ML, DL, MLOps, GenAI)

Technologies

Key Achievements

• •Successfully delivered 30+ freelance projects with 100% client satisfaction
• •Specialized in cutting-edge computer vision and deep learning applications
• •Built robust MLOps pipelines for efficient model deployment and monitoring
• •Established strong reputation in AI/ML consulting and development
• •Currently working with PrismX AI/ML for enterprise solutions

Responsibilities

• •Conducted extensive research and experimentation with advanced computer vision algorithms, including GANs, stable diffusion, and CNNs
• •Enhanced user experiences through implementation of sophisticated image processing techniques, such as segmentation and generative AI
• •Deployed and maintained robust applications across various cloud platforms, ensuring seamless API integration
• •Optimized visualization solutions to facilitate intuitive user interaction with designs using YOLO, OpenCV, and MLOps tools
• •Developed and managed multiple modules employing computer vision, large language models (LLMs), and natural language processing (NLP)

Technologies

Key Achievements

• •Successfully implemented GANs and stable diffusion models for production use
• •Enhanced user experience through advanced image processing and generative AI
• •Optimized model performance and deployment across multiple cloud platforms
• •Led development of scalable and versatile AI solutions
• •Contributed to innovative applications using state-of-the-art AI technologies

Responsibilities

• •Gained hands-on experience with advanced ML/DL technologies and GenAI applications
• •Contributed to research and development of cutting-edge AI solutions
• •Participated in building beneficial applications using the latest technology stack
• •Learned industry best practices for machine learning model development and deployment

Technologies

Key Achievements

• •Successfully completed intensive 1-month internship program
• •Gained valuable experience in enterprise-level AI development
• •Contributed to ongoing research projects in generative AI
• •Secured full-time position based on outstanding performance

Responsibilities

• •Developed and implemented robust machine learning models leveraging deep learning architectures (CNN, YOLO) for real-time object detection
• •Designed and optimized high-throughput image and video processing pipelines for efficient data ingestion and analysis
• •Led development of automated compliance frameworks by employing computer vision techniques (OpenCV)
• •Contributed to model development through essential data preprocessing and post-processing tasks, including OCR, color analysis, and feature engineering
• •Gained practical experience in deploying ML projects using industry-standard tools

Technologies

Key Achievements

• •Proficient in core ML concepts: decision trees, data preprocessing, EDA, and feature engineering
• •Successfully deployed CNN-based project that was tested on-site
• •Developed expertise in color analysis techniques like K-means clustering for ANPR applications
• •Gained practical experience with object detection frameworks and OCR libraries
• •Built strong foundation in ML research and development processes
• •Mastered computer vision skills including automatic number plate detection and recognition