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.
<p>Performed 3D Video Processing and image segmentation models.<br>
Generated Synthetic images for training using Advanced Image Processing techniques.<br>
Generated application-specific synthetic data using digital and coding manipulation techniques to train a robust model.</p>
<p>Extracted analytics of mice inside a cage using their coordinates & velocity taken from Deep Lab Cut software & ResNet101 trained model.<br>
This automation has cut down neuroscientists' manual work by 95%.<br>
Built an end-to-end fine-tuned ResNet101 algorithm that estimates the amount of string pulled by the mouse with 99% accuracy.<br>
This achieved 70% more accuracy than manual scoring.</p>
<p>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%.<br>
Generated 1 million synthetic images using combined MobileNet & Segmentation for training the model.<br>
Implemented a visual search engine & image retrieval system using KNN+ResNet which gives up to 5 similar catalogs present in a database.</p>
<p>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%.<br>
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%.<br>
Generated custom captured dataset, and synthetic dataset to train unique applications and to achieve benchmark accuracies (>97%).<br>
Developed auto-annotation product which decreased annotation work by 70%.</p>
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