Available to hire
I am an AI Developer, Trainer, and Data Labeller with hands-on experience in machine learning, computer vision, NLP, and deep learning. I have worked on diverse projects including disease prediction, driver drowsiness detection, AUV docking, farm intrusion detection, and Generative AI for document querying. Skilled in Python, SQL, PyTorch, TensorFlow, and OpenCV, I specialize in building scalable AI pipelines, deploying models on edge devices, and creating user-friendly automation tools. With research publications, a patent, and industry experience, I deliver high-quality AI solutions, accurate annotations, and model training workflows tailored to real-world business and research needs.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Advanced
Work Experience
Analyst at TresVista
April 1, 2025 - September 10, 2025Developed a full-stack machine learning application using Streamlit and deployed it on Azure Cloud, enabling clients to perform data cleaning, feature engineering, data visualization, and machine learning modelling (classification, regression, and time series forecasting). Built modular interfaces for model selection, dataset upload, and automated reporting, enhancing ML deployment, UI/UX design, and cloud-based product delivery.
Summer Intern at CSIR-CMERI
July 1, 2024 - September 10, 2025Designed a vision-based 3D pose estimation system for underwater docking, achieving 93% accuracy in clear water conditions using OpenCV. Gained foundational experience in underwater robotics, pose estimation, and image processing for structured environments.
Research Intern at SCAAI
June 1, 2023 - September 10, 2025Built disease prediction models using neural networks trained on UMLS disease-to-symptom mappings, achieving 98% diagnostic accuracy. Developed a user-facing tool for symptom-based disease prediction and contributed to a research paper under review, enhancing skills in NLP, healthcare ML, and end-user application design.
Analyst at TresVista
April 1, 2025 - September 10, 2025Developed a full-stack machine learning application using Streamlit and deployed it on Azure Cloud, enabling clients to perform data cleaning, feature engineering, data visualization, and machine learning modelling, such as classification, regression, and time series forecasting. Built modular interfaces for model selection, dataset upload, and automated reporting, enhancing skills in ML deployment, UI/UX design, and cloud-based product delivery.
Summer Intern at CSIR-CMERI
July 1, 2024 - September 10, 2025Designed a vision-based 3D pose estimation system for underwater docking, achieving 93% accuracy in clear water conditions using OpenCV. Gained foundational experience in underwater robotics, pose estimation, and image processing for structured environments.
Research Intern at SCAAI
June 1, 2023 - September 10, 2025Built disease prediction models using neural networks trained on UMLS disease-to-symptom mappings, achieving 98% diagnostic accuracy. Developed a user-facing tool for symptom-based disease prediction and contributed to a research paper under review, enhancing skills in NLP, healthcare ML, and end-user application design.
Analyst at TresVista
April 1, 2025 - September 10, 2025Developed a full-stack machine learning application using Streamlit and deployed it on Azure, enabling clients to perform data cleaning, feature engineering, data visualization, and ML modeling (classification, regression, and time-series forecasting). Built modular interfaces for model selection, dataset upload, and automated reporting, enhancing ML deployment, UI/UX design, and cloud-based product delivery.
Summer Intern at CSIR-CMERI
July 1, 2024 - September 10, 2025Designed a vision-based 3D pose estimation system for underwater docking, achieving 93% accuracy in clear water conditions using OpenCV. Gained foundational experience in underwater robotics, pose estimation, and image processing for structured environments.
Research Intern at SCAAI
June 1, 2023 - September 10, 2025Built disease prediction models using neural networks trained on UMLS disease-to-symptom mappings, achieving 98% diagnostic accuracy. Developed a user-facing tool for symptom-based disease prediction and contributed to a research paper under review, enhancing skills in NLP, healthcare ML, and end-user application design.
Decision Scientist at Accenture Strategy
May 1, 2025 - PresentDesigning an end-to-end automation flow for lead time calculation and intelligent transportation method recommendation to optimize supply chain efficiency for a UK-based pharmaceutical client using SQL, Python, and AERA technology.
Analyst at TresVista
April 1, 2025 - September 10, 2025Deployed a user-friendly Machine Learning GUI application using Streamlit on Azure Cloud, enabling clients to select tasks, choose models, upload datasets, and generate reports for classification, regression, and time series forecasting, enhancing product accessibility for non-technical users.
Research Intern at CSIR-CMERI
June 1, 2024 - September 10, 2025Leveraged ML and computer vision techniques to improve underwater docking for an AUV in turbid water conditions. Developed an object-detection model achieving 97% success in identifying the dock ROI and estimating its 3D pose. Engineered sonar-based dock detection and range estimation; integrated multi-modal systems for seamless transition from sonar to camera-based 3D pose estimation; drafted a research paper (publication in progress).
Summer Intern at CSIR-CMERI
July 1, 2024 - September 10, 2025Designed a 3D pose estimation system for docking stations for AUVs using OpenCV, achieving 93% accuracy in clean water conditions.
Research Intern at SCAAI
June 1, 2023 - September 10, 2025Conducted research on disease prediction using a UMLS disease-to-symptoms mapping database, training models including neural networks achieving 98% accuracy. Deployed a user-friendly model that enables symptom-based disease predictions; authored a paper under review; explored future model enhancements to provide medication suggestions.
Decision Scientist at Accenture Strategy
May 1, 2025 - PresentDesigning an end-to-end automation flow for lead time calculation and intelligent transportation method recommendation using SQL, Python, and AERA technology, aimed at optimizing supply chain efficiency for a UK-based pharmaceutical client.
Analyst at TresVista
April 1, 2025 - September 10, 2025Deployed a user-friendly Machine Learning GUI application using Streamlit on Azure Cloud, allowing clients to select tasks, choose models, upload datasets, and generate reports for classification, regression, and time series forecasting, enhancing product accessibility and usability for non-technical users.
Research Intern at CSIR-CMERI (Durgapur)
June 1, 2024 - September 10, 2025Leveraged machine learning and computer vision techniques to improve underwater docking for an AUV in turbid water conditions. Developed a robust object detection model that accurately identified the dock’s ROI and estimated its 3D pose with a 97% success rate. Engineered a system for dock detection and range estimation using sonar images for long-range detection and integrated semantic transition to camera-based 3D pose estimation as the AUV approached the dock.
Summer Intern at CSIR-CMERI (Durgapur)
July 1, 2024 - September 10, 2025Designed a 3D pose estimation system for docking stations for AUVs using OpenCV, achieving 93% accuracy in clean water conditions.
Research Intern at SCAAI
June 1, 2023 - September 10, 2025Explored disease prediction using a UMLS disease-to-symptoms mapping database, trained models including neural networks achieving 98% accuracy, and deployed a user-friendly symptom-to-disease predictor. Authored a research paper on methodologies and findings.
Decision Scientist at Accenture Strategy
May 1, 2025 - PresentDesigning an end-to-end automation flow for lead time calculation and intelligent transportation method requirement using SQL, Python, and AERA technology, aimed at optimizing supply chain efficiency for a UK-based pharmaceutical client.
Analyst at TresVista
April 1, 2025 - September 11, 2025Deployed a user-friendly Machine Learning GUI application using Streamlit on Azure Cloud, allowing clients to select tasks, choose models, upload datasets, and generate reports for classification, regression, and time series forecasting, enhancing product accessibility and usability for non-technical users.
Research Intern at CSIR-CMERI
June 1, 2024 - September 11, 2025Leveraged machine learning and computer vision techniques to improve the accuracy and reliability of underwater docking for an AUV in various turbid water conditions. Developed a robust object detection model that accurately identified the dock’s ROI in images and estimated its 3D pose with a 97% success rate. Engineered a sophisticated system for dock detection and range estimation using sonar images for initial long-range detection. Integrated multi-modal systems for seamless transition from sonar-based detection to camera-based 3D pose estimation as the AUV approached the dock. Drafted research paper, with publication in progress, documenting the methodologies and findings on 3D pose estimation, object detection, and sonar-based dock detection for AUVs.
Summer Intern at CSIR-CMERI
July 1, 2024 - September 11, 2025Designed a 3D pose estimation system for docking stations for AUVs using OpenCV, achieving 93% accuracy in clean water conditions.
Research Intern at SCAAI
June 1, 2023 - September 11, 2025Conducted research on disease prediction using a UMLS disease-to-symptoms mapping database, training models including neural networks, which achieved 98% accuracy. Deployed a user-friendly model that enhances diagnostic capabilities by allowing users to input symptoms and receive accurate disease predictions. Authored a research paper on methodologies and findings, currently under review for publication. Explored future model enhancements to provide medication suggestions based on textual symptoms, broadening its healthcare applications.
Analyst at TresVista
April 1, 2025 - September 11, 2025Developed a full-stack machine learning application using Streamlit and deployed it on Azure Cloud, enabling clients to perform data cleaning, feature engineering, data visualization, and machine learning modelling, including classification, regression, and time series forecasting. Built modular interfaces for model selection, dataset upload, and automated reporting, enhancing skills in ML deployment, UI/UX design, and cloud-based product delivery.
Summer Intern at CSIR-CMERI
July 1, 2024 - September 11, 2025Designed a vision-based 3D pose estimation system for underwater docking, achieving 93% accuracy in clear water conditions using OpenCV.
Research Intern at SCAAI
June 1, 2023 - September 11, 2025Built disease prediction models using neural networks trained on UMLS disease-to-symptom mappings, achieving 98% diagnostic accuracy. Developed a user-facing tool for symptom-based disease prediction and contributed to a research paper under review, enhancing skills in NLP, healthcare ML, and end-user application design.
Education
Bachelor of Technology at Symbiosis Institute of Technology, Symbiosis International University; Pune, India
January 11, 2030 - January 1, 2024Bachelor of Technology Electronics and Telecommunication Engineering at Symbiosis Institute of Technology, Symbiosis International University
January 1, 2020 - January 1, 2024Bachelor of Technology in Electronics and Telecommunication Engineering at Symbiosis Institute of Technology, Symbiosis International University; Pune, India
January 11, 2030 - January 1, 2024Bachelor of Technology - Electronics and Telecommunication Engineering at Symbiosis Institute of Technology, Pune, India
January 11, 2030 - September 10, 2025Class XII - CBSE at Guru Teg Bahadur Public School, Durgapur, India
January 11, 2030 - September 10, 2025Class X - ICSE at St. Peter’s School, Durgapur, India
January 11, 2030 - September 10, 2025Bachelor of Technology - Electronics and Telecommunication Engineering at Symbiosis Institute of Technology Pune, India
January 11, 2030 - September 10, 2025Bachelor of Technology at Symbiosis Institute of Technology Pune, India
January 11, 2030 - September 11, 2025Bachelor of Technology at Symbiosis Institute of Technology, Symbiosis International University; Pune, India
January 11, 2030 - January 1, 2024Qualifications
DeepLearning.AI Neural Networks and Deep Learning
January 11, 2030 - September 10, 2025IBM Data Science Professional Certificate
January 11, 2030 - September 10, 2025Data Analysis with Python: Zero to Pandas (Jovian.ai)
January 11, 2030 - September 10, 2025Data Analysis with Python (FreeCodeCamp)
January 11, 2030 - September 10, 2025Data Structures and Algorithms in Python (Jovian.ai)
January 11, 2030 - September 10, 2025Machine Learning with Python: Zero to GBMs (Jovian.ai)
January 11, 2030 - September 10, 2025DeepLearning.AI Neural Networks and Deep Learning
January 11, 2030 - September 10, 2025IBM Data Science Professional Certificate
January 11, 2030 - September 10, 2025Data Analysis with Python: Zero to Pandas
January 11, 2030 - September 10, 2025Data Analysis with Python
January 11, 2030 - September 10, 2025Data Structures and Algorithms in Python
January 11, 2030 - September 10, 2025Machine Learning with Python: Zero to GBMs
January 11, 2030 - September 10, 2025DeepLearning.AI Neural Networks and Deep Learning
January 11, 2030 - September 11, 2025IBM Data Science Professional Certificate
January 11, 2030 - September 11, 2025Data Analysis with Python: Zero to Pandas
January 11, 2030 - September 11, 2025Data Structures and Algorithms in Python
January 11, 2030 - September 11, 2025Machine Learning with Python: Zero to GBMs
January 11, 2030 - September 11, 2025Industry Experience
Financial Services, Software & Internet, Professional Services, Healthcare, Life Sciences, Education, Transportation & Logistics, Manufacturing, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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