Machine Learning Engineer with 3+ years of experience. Adept at research and crafting logic-code design which can be put right away into production. Instrumental in integrating various domains to build an end-to-end plat…
Machine Learning Engineer with 3+ years of experience. Adept at research and crafting logic-code design which can be put right away into production. Instrumental in integrating various domains to build an end-to-end platform.
1. Time Series Forecasting Solutions:
• Developed innovative time series forecasting solutions using user emotions data across diverse industries (e-commerce, fintech, real estate, insurance, and marketing agencies).
• Achieved a remarkable threefold increase in revenue for clients through the implementation of these forecasting models.
2. Industry-Specific Reports and Insights:
• Produced tailored industry reports by harnessing user emotions data, providing comprehensive insights.
• Offered actionable recommendations to enhance customer engagement, reduce cart abandonment rates, and ultimately boost revenue for clients.
3. International Business Representation:
• Served as a key company representative in Dubai, fostering collaborations with government entities.
• Facilitated strategic partnerships, contributing to the expansion and growth of the business.
4. API Development for Time Series Models:
• Created robust API endpoints for time series forecasting models using TypeScript and JavaScript.
• Enhanced client dashboard experience, ensuring seamless integration and accessibility of forecasting insights.
5. Generative AI Time Series Models:
• Pioneered the development of Generative AI time series models.
• Addressed challenges of limited or inadequate data, ensuring the generation of valuable data-driven insights in challenging scenarios.
6. GPT-Based Recommendation Engine:
• Implemented a cutting-edge recommendation engine based on GPT technology.
• Utilized users' emotions expressed on websites as input, resulting in personalized recommendations to enhance customer satisfaction.
Performed 3D Video Processing and image segmentation models.
Generated Synthetic images for training using Advanced Image Processing techniques.
Generated application-specific synthetic data using digital and coding manipulation techniques to train a robust model.
Extracted analytics of mice inside a cage using their coordinates & velocity taken from Deep Lab Cut software & ResNet101 trained model.
This automation has cut down neuroscientists' manual work by 95%.
Built an end-to-end fine-tuned ResNet101 algorithm that estimates the amount of string pulled by the mouse with 99% accuracy.
This achieved 70% more accuracy than manual scoring.
Designed and launched an end-to-end automatic visual tagging of 350 fashion attributes from an image with 97% accuracy using fine-tuned FasterRCNN & EfficientDet models which will increase fashion e-commerce business by 30%.
Generated 1 million synthetic images using combined MobileNet & Segmentation for training the model.
Implemented a visual search engine & image retrieval system using KNN+ResNet which gives up to 5 similar catalogs present in a database.
Pioneered 30 real-time object detection & 10 OCR products deployed in local GPUs and cloud GPUs with parallel GPU processing which increased client's business revenues by 40%.
Transformed heavy-weight models into light-weight models for Nvidia Jetson Nano and Raspberry Pi deployments for standalone products cutting down computational costs by 50%.
Generated custom captured dataset, and synthetic dataset to train unique applications and to achieve benchmark accuracies (>97%).
Developed auto-annotation product which decreased annotation work by 70%.
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