Shlok Kakade

Computer Engineering Student, Data Engineer, Full-Stack Developer

Mumbai, IN.

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

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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

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.

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.