Apache Spark-Based Distributed Deep Learning System
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Summary
Built a distributed system using Apache Spark to parallelize training of DL models across multiple local machines. Improved scalability and reduced training time by 40-45%
About
Highly dedicated and detail-oriented Computer Science student with a strong foundation in full-stack development, data engineering, and deep learning. Proven ability to apply problem-solving skills and creativity to architect scalable solutions, optimize data pipelines, and enhance user experiences. Eager to leverage expertise in Java, Python, ReactJS, and cloud platforms (AWS, GCP) to contribute to innovative projects and drive team success in a dynamic tech environment.
Skills
Programming Languages
Java, Python.
Tools & Development
Git, GitHub Actions, JIRA, Apache Spark, Databricks, Docker, Graphana, K8.
Databases
MySQL, MongoDB.
Cloud Platforms
AWS - ECS , IAM, S3, EC2, VPC, Linode.
Operating Systems
Red Hat Linux, RaspberryPi.
Design & Multimedia
Canva, Figma, Adobe CC.
Soft Skills
Creative Thinking, Problem-solving skills, Team Collaboration.
Web Technologies & Frameworks
NodeJS, WordPress.
Deep Learning & AI
TensorFlow - U-Net, Image Processing.
Work
Pune, Maharashtra, India
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Summary
As an SQL Intern at Celebal Technologies, I developed and optimized complex SQL queries and scalable ETL/ELT data pipelines, enhancing data processing and ingestion efficiency.
Highlights
Developed and optimized complex SQL queries, including joins, subqueries, and window functions, to extract and manipulate data from large-scale databases, enhancing data retrieval efficiency.
Architected and deployed scalable ETL/ELT data pipelines using Apache Spark and Python on a distributed cluster environment, ensuring robust data processing.
Automated data ingestion processes from diverse API sources into a central Databricks platform, streamlining data integration workflows.
Pune, Maharashtra, India
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Summary
As a Frontend Web Developer at Meta-Craft Lab, I integrated RESTful APIs and led the development of a Color Blindness Simulator, improving UI responsiveness and accessibility testing.
Highlights
Integrated RESTful APIs with real-time UI updates, significantly improving data fetch accuracy and reducing latency for enhanced user experience.
Led the development of a Color Blindness Simulator, a key accessibility tool used to test and simulate various types of vision deficiency.
Projects
Volunteer
Google Developers Groups (GDG) - MITAOE Club
|Coordinator & Design Team Lead
Pune, Maharashtra, India
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Summary
As Coordinator and Design Lead for GDG-MITAOE Club, I spearheaded design initiatives and contributed to event ideation, fostering a vibrant community for three years.
Highlights
Served as Design Lead for the GDG-MITAOE Club for 3 years, creating impactful graphics for numerous events, workshops, and hackathons, enhancing club visibility.
Contributed innovative ideas and solutions during the Nirmaan (Equilibrium) event, playing a key role in its successful execution.
Actively participated in various club activities, fostering a collaborative and creative environment among members.