I am an experienced software engineer with a strong background in computer science, specializing in developing scalable and efficient full stack web applications and enterprise automation solutions. I am passionate about leveraging cutting-edge technologies such as .NET, React, Spring Boot, and cloud platforms like AWS to deliver impactful solutions that improve operational workflows and user experiences. Throughout my career, I have consistently delivered significant improvements in process efficiencies, data management, and real-time reporting. I enjoy collaborating with cross-functional teams to design scalable and secure systems while continuously enhancing my skills in AI, machine learning, and data science to drive innovation in software development and analytics.

Akshastry Chakra Codi

I am an experienced software engineer with a strong background in computer science, specializing in developing scalable and efficient full stack web applications and enterprise automation solutions. I am passionate about leveraging cutting-edge technologies such as .NET, React, Spring Boot, and cloud platforms like AWS to deliver impactful solutions that improve operational workflows and user experiences. Throughout my career, I have consistently delivered significant improvements in process efficiencies, data management, and real-time reporting. I enjoy collaborating with cross-functional teams to design scalable and secure systems while continuously enhancing my skills in AI, machine learning, and data science to drive innovation in software development and analytics.

Available to hire

I am an experienced software engineer with a strong background in computer science, specializing in developing scalable and efficient full stack web applications and enterprise automation solutions. I am passionate about leveraging cutting-edge technologies such as .NET, React, Spring Boot, and cloud platforms like AWS to deliver impactful solutions that improve operational workflows and user experiences.

Throughout my career, I have consistently delivered significant improvements in process efficiencies, data management, and real-time reporting. I enjoy collaborating with cross-functional teams to design scalable and secure systems while continuously enhancing my skills in AI, machine learning, and data science to drive innovation in software development and analytics.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Software Engineer at Cognizant
June 30, 2023 - August 11, 2025
Developed and deployed end-to-end BPM automation workflows using Nintex K2 Cloud, K2 Designer, and K2 Management, reducing financial process turnaround time by 40% and minimizing manual intervention. Designed and optimized relational databases in SQL Server, implementing stored procedures, indexing, and normalization to improve query performance and maintain data integrity. Built and integrated backend services using .NET Framework and C#, enabling seamless interaction between automated workflows and enterprise systems. Engineered interactive Power BI dashboards connected to SQL Server, delivering real-time insights on key performance indicators to 75+ stakeholders and cutting report generation time by 6 hours weekly. Collaborated with cross-functional teams to gather requirements, design scalable solutions, and ensure compliance with enterprise security and data governance standards.
Intern at Indian Institute of Science (IISc)
September 30, 2019 - August 11, 2025
Processed and pre-processed multi-terabyte SAR and optical satellite imagery using the ESA SNAP toolbox, implementing calibration, speckle filtering, terrain correction, and geo-alignment for model readiness. Constructed a Convolutional Neural Network (CNN)-based deep learning model in TensorFlow/Keras to classify urban vs. non-urban regions, achieving over 90% accuracy across diverse geospatial datasets. Optimized image data pipelines for large-scale satellite datasets by automating preprocessing steps, reducing manual processing time from 4-5 hours to under 30 minutes per dataset. Conducted hyperparameter tuning and data augmentation to improve model generalization across multiple geographies, enhancing robustness for real-world deployment.

Education

Master of Science, Computer Science at Florida State University
January 11, 2030 - May 1, 2025
Bachelor of Engineering, Computer Science and Engineering at Visvesvaraya Technological University (VTU)
January 11, 2030 - August 1, 2020

Qualifications

IBM Data Science Specialization
January 11, 2030 - August 11, 2025
Deep Learning Specialization
January 11, 2030 - August 11, 2025
Machine Learning by Coursera
January 11, 2030 - August 11, 2025

Industry Experience

Computers & Electronics, Software & Internet, Financial Services, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more