Experienced software engineer with over 3 years of experience turning ideas into impactful solutions, specializing in Python. I've been at the forefront of 4+ projects, leading technical decisions and driving development. Skilled in understanding client needs, evaluating the feasibility of use cases, and estimating project efforts. Known for optimizing technical architectures.
- SAAC-NET: DEEP NEURAL NETWORK-BASED MODEL FOR ATMOSPHERIC CORRECTION IN REMOTE SENSING
- Published on Taylor & Francis Online, categories: Remote Sensing, deep learning
- ANALYZE THE IMPACT OF WEATHER PARAMETERS FOR CROP YIELD PREDICTION USING DEEP LEARNING
- Published on Springer, categories: Agriculture, remote sensing, deep learning
- IMPACT OF VEGETATION INDICES ON WHEAT YIELD PREDICTION USING SPATIO-TEMPORAL MODELING
- Published on Springer, featured in Springer’s book named with “Digital Ecosystem for Innovation in Agriculture”.
- A DEEP LEARNING MODEL FOR ATMOSPHERIC CORRECTION OF SATELLITE IMAGES
- Published on IEEE, categories: Remote Sensing
- A SPATIO-TEMPORAL DEEP LEARNING MODEL FOR ENHANCED ATMOSPHERIC CORRECTION
- Published on Springer, categories: Remote Sensing, deep learning