Experience

CamCom

• India
• Software Development
• 1 - 100 Employee

• Senior Machine Learning Engineer

  • Apr 2023 - Present

  Bengaluru, Karnataka, India - Spearheaded development of state-of-the-art deep learning solutions for computer vision in the domain of visual pollution detection, collaborating closely with a prominent government entity. - Successfully designed and implemented a high-performance machine learning model achieving a remarkable mean Average Precision (mAP) score exceeding 0.9, demonstrating exceptional accuracy in identifying visual pollution elements within images. - Enabled significant efficiency gains by automating… Show more - Spearheaded development of state-of-the-art deep learning solutions for computer vision in the domain of visual pollution detection, collaborating closely with a prominent government entity. - Successfully designed and implemented a high-performance machine learning model achieving a remarkable mean Average Precision (mAP) score exceeding 0.9, demonstrating exceptional accuracy in identifying visual pollution elements within images. - Enabled significant efficiency gains by automating the analysis of over 2 million images, drastically reducing manual inspection efforts; facilitated rapid identification and categorization of visual pollution instances, ensuring prompt reporting to relevant government departments for targeted intervention and remediation. Show less



Tata Consultancy Services

• India
• IT Services and IT Consulting
• 700 & Above Employee

• System Engineer

  • Jun 2019 - Mar 2023

  Pune, Maharashtra, India - Developed dashboards to analyze the risk and impacts on the business due to various external or internal factors. - Collaborated with cross-functional teams to design and implement experiments to evaluate the effectiveness of new product features and help with the recovery faster with easy tracking. - Worked on the e-mail classification problem using Natural Language Processing technique such as TF-IDF, to classify it as spam or not spam, was able to achieve 93 percent accuracy with… Show more - Developed dashboards to analyze the risk and impacts on the business due to various external or internal factors. - Collaborated with cross-functional teams to design and implement experiments to evaluate the effectiveness of new product features and help with the recovery faster with easy tracking. - Worked on the e-mail classification problem using Natural Language Processing technique such as TF-IDF, to classify it as spam or not spam, was able to achieve 93 percent accuracy with almost 0.95 as F1 Score. Show less



TCS Research & Innovation

• Data Science Intern

  • Jan 2019 - Mar 2019

  Bengaluru Area, India - Domain: Travel, Transportation and Hospitality - Business problem: To detect the facial expression of the person give a better experience and to track various objects. - Researched on the various methods of the face detection. Analyzed data given for better understanding and proper prediction. - Implemented the model using YOLO v3. Researched on the deployment of the project using NodeJs.