Biography
Hi! I am an enthusiastic, self-motivated and a results-oriented Data/ML engineer with 2+ years of experience in machine learning, image processing, NLP, data mining and model deployment.
Research projects in the fields of image processing and natural language understanding are something that is always exciting to me. I am also equally interested to explore and learn more about the healthcare and bioinformatics domain. I have experience working in quite a few NLP, NLU, Image Processing, and Computer Vision projects. In the field of machine learning, I have mostly worked on deep learning algorithms such as DBN, CNN, RNN, Mask RCNN, LSTM, and Soft Computing principles of Probabilistic Models and Fuzzy Logics.
I believe in the ikigai philosophy and am always eager to solve a challenging problem or analyze anomalous data behavior.
I am still in the process of building/updating my site. Why don’t you visit me again after a few days and I hope to have completed it by then. Thanks for visiting! 
You can have a look at my CV and technical skills
- Machine Learning
- Computer Vision
- Natural Language Processing
- Algorithms
- Medical Health
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ME in Computer Science & Engineering, 2019
Jadavpur University
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BE in Computer Science & Engineering, 2016
Visvesvaraya Technological University
Recent Publications
Academic Experience
- Face Recognition using G2DFLD algorithm
- Gaussian Energy-based function for detection of moving objects in videos
- Pattern Recognition & Image Processing (Instructor: Prof. JK Sing) [CSE/T/414]
- Computer Graphics Lab (Instructor: Prof. JK Sing & Prof. Subhadip Basu) [CSE/S/311]
Industry Experience
Projects:
- Building data federated platform with the scope of providing integrated customer recommendation experience. BERT fine-tuned on a custom dataset is used for recommendation (validation accuracy ~91%). Production platform handles data at a scale of over 10TB daily with the scope of increase in the future.
- Building a Data Quality Engine for indentifying data issues at the source level and using different machine learning algorithms to suggest possible remedies. Multiple ML models and NLP approaches are being used in this project.
Projects:
- Building data federated platform with the scope of providing integrated customer recommendation experience. BERT fine-tuned on a custom dataset is used for recommendation (validation accuracy ~91%). Production platform handles data at a scale of over 10TB daily with the scope of increase in the future.
- Building a Data Quality Engine for indentifying data issues at the source level and using different machine learning algorithms to suggest possible remedies. Multiple ML models and NLP approaches are being used in this project.
Projects:
- Building data federated platform with the scope of providing integrated customer recommendation experience. BERT fine-tuned on a custom dataset is used for recommendation (validation accuracy ~91%). Production platform handles data at a scale of over 10TB daily with the scope of increase in the future.
- Building labeled property graph for representing contextual information across various documents. Fuzzy searching algorithms with graph neural networks is used for achieving better properties on node values.
Awards:
- Won the Annual Team award for outstanding performance in the financial year 2021.
- Won the SCaLA Annual Award for the financial year 2021.
- Won the Quarterly Team Award for outstanding performance in 2nd Quarter of financial year 2021.
- Won the Evangelist Award for innovation in annual innovation forum for financial year 2021.
- Nominated as an AI Ambassador for the financial year of 2021.
Projects:
- Analyzed time series logistics data for detecting anomalies across 15 (key performance indicators) KPIs, along with determining their causal relationships and a bi-weekly data refresh of around 2GB.
- Built ingestion pipelines for handling monthly data refresh of roughly 25GB and detected change points for identifying a level shift in the time series of HR data.
- Detected anomalies and forecasted trends within a given window frame on market sales data having 28 KPIs and monthly data refresh of approximately 3GB.
- Designed and developed the question answering module along with summarization using BERT for a COVID-19 response dashboard on top of the COVID-19 Open Research Dataset.
Awards:
- Won the Quarterly Team Award for outstanding performance in 2nd Quarter of financial year 2020.
- Won the Annual Individual award for Above and Beyond performance in the financial year 2020.
Projects:
- Worked on building data ingestion pipelines and performed Topic Modeling along with Sentiment Analysis for categorizing text data.
- Built a proof-of-concept(POC) for tracking people’s movement on live streaming videos.
Awards:
- Won the Quarterly Team Award for outstanding performance in 2nd Quarter of financial year 2019.
Projects:
- Developed a real-time video synthesis application for extracting textual information for Automated Driver Assistance Systems.
Projects
Gaussian Energy-based function for detection of moving objects in videos
Utilized Gaussian distribution to modify energy-based functions in images for motion detection of objects to identify accidents in a real-time video
Entropy based Fuzzy clustering algorithm for MR image segmentation
Used Shannon entropy to modify the Fuzzy C-Means algorithm for segmenting volumetric brain MR images, model was evaluated on the Brainweb dataset and IBSR dataset before utilizing for the real-patient image volumes
Volumetric Brain MR Image Segmentation using Entropy based Fuzzy clustering algorithm
Used Shannon entropy to modify the Fuzzy C-Means algorithm for segmenting volumetric brain MR images, model was evaluated on the Brainweb dataset and IBSR dataset before utilizing for the real-patient image volumes
Deep Learning through Image Analysis of real-time videos
Classified entities from real-time videos and presented a comparative study on various models. Image classification was compared on deep belief networks, deep feedforward neural networks, and convolutional neural networks
Certifications
Scholarships and Grants
