AWS Certified Cloud Practitioner

Amazon Web Services Cloud Practitioner

Volunteered to paint rooms at a rural school, demonstrating commitment to community service.

Volunteer

Bachelor of Technology

Master's degree

- Created CI/CD pipelines for ETL job scheduling, integrated Kafka for real-time data streaming enabling the processing of    1 TB of data daily.
- Designed and productized a Machine Learning Model using Apache Spark, Python, and AWS to analyze customer activity on the Bank’s website for personalized recommendations, thereby increasing revenue by 15%.
- Designed an Employee Time-off Tool using React, HTML, and CSS for the front end, along with JavaScript for the backend, and SQL as database, improving request processing time by 40%.
- Implemented multi-factor authentication (MFA) feature using OAuth 2.0, collaborating with DevOps and Security teams for seamless integration and compliance.
- Developed detailed design documents for user profile management, evaluating architectural solutions with performance, scalability, and security tradeoffs.
- Acted as a Designated Responsible Individual to improve system reliability by fixing scheduled jobs, resulting in a 75% reduction in dependent 

Software Engineer

- Created a website to streamline the process of QTI(Question and Test Interoperability) file creation, using uploaded questions.
- Added single-click document upload functionality on the Canvas Portal (ASU Learning Management System).
- Executed E2E development with HTML, CSS, and JavaScript for the website hosted on an AWS EC2 instance.
- Integrated customizable quiz features, reducing quiz preparation time by 60% and improving faculty platform adoption evidenced by positive feedback

Full Stack Developer and Instructional Design Assistant

- Engineered a Python-based tray application leveraging PyQt for the graphical user interface (GUI) and NLP techniques.
- Integrated a chatbot using NLP libraries such as NLTK and spaCy for natural language understanding.
- Established seamless communication with a database via REST API endpoints, facilitating efficient data retrieval and manipulation.
- Employed Flask to develop the backend REST API, ensuring robust connectivity between the application and the database.

Software Engineer Intern

- Worked on website enhancement of an educational consultancy website using HTML/CSS.
- Worked on SEO optimization of the website resulting in a 25% increase in website traffic.
- Added new content and fixed bugs on the website to improve usability.

Web Developer Intern

- Developed an end-to-end Android app using Java and XML that color-coded pixels of objects in the camera frame in real-time based on distance, using a predictive model built in TensorFlow Lite.
- Optimized the Image Processing Model via hyperparameter tuning and distributed training with data parallelism with 100 GBs of data, resulting in 30% improved model accuracy.
- Innovated edge deployments by sharing a single camera feed to two app fragments, using multithreaded transmission, resulting in 40ms latency improvement.

ML Engineer

Software Engineer | ML/AI Enthusiast | Seeking 2024 SDE/SWE Job Opportunities

Know about Ashish Kumar's work experience, education, bootcamps, certifications, and much more. Ashish Kumar