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I am a final year Computer Science student at Dayananda Sagar College of Engineering with a profound passion for Artificial Intelligence and Machine Learning. My mission is to harness the power of technology to make the world a better place to live.
I believe that when man and technology shake hands, the duo is unbeatable. Through AI and ML, we can open that dimension of innovation which would have been considered as magic 500 years ago. This passion has given me the ability to develop programs for a multitude of things, ranging from Data Analytics Case Studies to Computer Vision and Databases. I love to do storytelling through data and solve business challenges and craft innovative solutions.
I firmly believe that Neural Networks, Computer Vision and Natural Language Processing are the cornerstones of AI's future, and I'm excited to be a part of this transformative journey.
Having strong foundation in Math, I'm seeking to leverage solid analytical skills with a focus on collaboration, communication, passion and creativity as a programmer.
When I'm not immersed in code, you'll find me on the badminton court, channeling my competitive spirit, or immersed into the pages of a captivating book as a voracious reader.
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Indian Space Research Organisation (ISRO)
Deep Learning Intern
April 2024 - Present
Bangalore, Karnataka
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Leveraging remote sensing satellite imagery for agricultural planning of 44 different crops.
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Integrating the DSSAT Crop Simulation models with the geospatial data analytics platform QGIS.
Indian Institute of Technology Hyderabad (IIT-H)
Research Intern
November 2023 - February 2024
Hyderabad, Telangana
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Contributed to Autonomous Navigation System enhancement through causality-informed semantic segmentation methods.
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Experimented Causal Attention with various models such as UNet, Vision Transformer, DeepLabv3, Segformer.
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Achieved an accuracy of 78.37% using CNN based approach and of 58.85% using ViT based approach.
KharagpurWinter of Code (KWoC)
Open Source Contributor
December 2023 – January 2024
Kharagpur, West Bengal
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Contributed to ML-Crate, a valuable resource for machine learning enthusiasts and the Bellabeat Capstone Project by Google.
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Conducted in-depth data analysis using various machine learning algorithms to derive insights for the Bellabeat project.
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Achieved an accuracy of 88.02% using Logistic Regression and of 87.87% using Support Vector Machines.
Lean Angels
Data Engineer Intern
October 2022 - March 2023
Bangalore, Karnataka
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Collaborated closely with the core tech team, championed seamless integration of the analytics model with our API.
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Employed Python to automate retrieval processes through restructuring ETL pipelines, boosting the efficiency by 12%.
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Enhanced customer satisfaction by 5% by turning raw data into actionable insights, improved data-driven decision-making.