AI Code Review Assistant
Summary
Developed a web application that leverages AI to provide inline code review comments for GitHub Pull Requests and includes a feedback loop for continuous improvement.
About
Highly motivated Computer Engineering student with expertise in data engineering, full-stack development, and AI-enabled products, seeking to leverage strong foundational skills in Python, SQL, AWS, React, Django, and Node.js. Proven ability to build scalable ETL pipelines, SQL-backed analytics systems, cloud workflows, and production-ready web applications, consistently delivering solutions that enhance efficiency, reduce costs, and drive strategic decisions. Eager to contribute a practical problem-solving approach to innovative projects in a dynamic tech environment.
Work
Zenon Systems
|Data Engineer Intern
Bengaluru, Karnataka, India
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Summary
As a Data Engineer Intern, I developed and optimized scalable data pipelines and reporting tools, significantly improving data processing efficiency and supporting strategic business decisions.
Highlights
Engineered scalable ETL pipelines using Python and Apache Spark, reducing data processing time by 27% and enabling real-time analytics for 10TB of daily user data.
Migrated legacy data systems to AWS cloud infrastructure (S3, EC2, Glue), resulting in a 20% reduction in infrastructure costs.
Automated data validation processes with Python scripts, saving over 15 hours per week of manual QA work and collaborating with data science teams to deliver 10+ analytics projects that generated $2M+ in revenue.
Developed internal reporting tools that improved team productivity by 40% and presented pipeline performance metrics to senior leadership in weekly reviews, influencing strategic decisions.
Education
Shah and Anchor Kutchhi Engineering College
Mumbai, Maharashtra, India
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B.Tech
Computer Engineering
Grade: 7.00/10
Courses
Honours in Cybersecurity
Skills
Languages & Tools
Python, SQL, Java, C/C++, Git, Docker, AWS (S3, EC2, Lambda, Glue, SageMaker).
Data Engineering
Apache Spark, PySpark, ETL/ELT Pipelines, MySQL, PostgreSQL, MongoDB, Snowflake.
Data Analytics & Visualization
Pandas, NumPy, Matplotlib, Seaborn, Power BI, Excel (Pivot Tables, Dashboards).
Soft Skills
Analytical Thinking, Problem Solving, Cross-functional Collaboration, Data Storytelling, Attention to Detail, Time Management.
Web Technologies
React, Django, Node.js, Express.js, WebSockets.
AI/ML
OpenAI API, GPT-40, LLMs, PyTorch, EfficientNet-B3, ImageNet.
Databases
PostgreSQL, MongoDB, MySQL.
Testing
Selenium.
Projects
Diabetic Retinopathy Detection using EfficientNet-B3
Summary
Created a 5-stage Diabetic Retinopathy classifier utilizing deep learning techniques and deployed on cloud infrastructure.
Visitor Pass Management System
Summary
Designed and implemented a full-stack digital visitor management system to streamline check-in processes and enhance security.
Real-Time Collaborative Document Editor
Summary
Developed a real-time collaborative document editor supporting simultaneous multi-user editing with robust backend and testing.