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Akshitha Boda

@akshithaboda

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Software engineer specializing in backend services, data pipelines, and ML solutions using Python.

India

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What I'm looking for

I seek roles where I can build scalable data and ML systems, work in collaborative teams using modern DevOps practices, and deliver measurable product impact.

I am a software engineer focused on building reliable back-end services, scalable data pipelines, and production-ready ML solutions. I have delivered ETL integrations, automated reporting, and deployed reproducible model pipelines using Docker and GitHub Actions, improving data availability and cutting manual reporting significantly.

I have hands-on experience in NLP, real-time computer-vision tools, and forecasting systems, including an NLP resume-matcher that boosted accuracy and a forecasting dashboard with R²=0.91 deployed on AWS EC2. I work well in collaborative, Agile-like environments and prioritize reproducible, efficient workflows that drive measurable impact.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Unified Mentors Pvt. Ltd.

Feb 2025 - Apr 2025 (2 months)

Engineered an ML pipeline and dashboards for Uber ride forecasting achieving production-ready deployment, containerized components for scalability, and delivered incremental improvements within a pseudo-Agile team.

XGBoost Docker Dashboarding Data Engineering AWS EC2 CI CD Agile

Python Developer

CodTech IT Solutions

Dec 2024 - Jan 2025 (1 month)

Integrated public APIs into ETL workflows to improve data availability and consistency, built automated dashboards and PDF reports reducing manual reporting by ~70%, and deployed model pipelines with Docker and GitHub Actions for reproducibility.

Python ETL APIs Docker GitHub Actions NLP Dashboarding

Education

Degrees, certifications, and relevant coursework

GITAM University

Bachelor of Technology, Computer Science & Engineering

Grade: 8.0/10.0

Completed a Bachelor of Technology in Computer Science & Engineering, focusing on software engineering, data pipelines, and machine learning; graduated with a CGPA of 8.0/10.0 in April 2024.