Stamp 1G | MSc Computer Science @ UCD | Ex-Software Intern @ Bereej Technologies | FinOps Certified Practitioner | AWS Certified Cloud Practitioner | Python, Machine Learning, AWS, Docker

Pune, Maharashtra, India



Masters, Computer Science Negotiated Learning
University College Dublin

B.Tech, Information Technology
JSPM's Rajarshi Shahu College of Engineering
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Download Tal BossStamp 1G | MSc Computer Science @ UCD | Ex-Software Intern @ Bereej Technologies | FinOps Certified Practitioner | AWS Certified Cloud Practitioner | Python, Machine Learning, AWS, Docker
I have recently completed my Master's in Computer Science at University College Dublin, having learned about backend development, microservice architecture, and large language model-based generative AI. My areas of expertise are machine learning, artificial intelligence, and cloud computing, and I have hands-on experience with Python, Amazon Web Services, Docker, and Kubernetes. At Bereej Technologies, I increased testing coverage by an extent that is very significant, automated streams of content aggregation, and developed horizontally scalable application programming interfaces and real-time machine learning tools. My projects have been in fraud detection, healthcare risk assessment, and real-time fact-checking, and all of them yielded substantial, measurable results. I am keen to use machine learning and artificial intelligence to come up with creative solutions and enjoy working on projects that produce real-world effects.
Dublin 4
Software Engineer Intern at Bereej Technologies, Jan 2024 - Jun 2024 · 6 mos, Pune, Maharashtra, India, During internship, I made key contributions towards multiple projects with concentration on efficiency and user experience optimization. The below are some of my key accomplishments: Developed Cross-Platform Mobile Applications: I enhanced the responsiveness of users by 60% when I implemented Flutter, making it run smoothly on both the Android and iOS platforms. Automation of Data Scraping and Record Creation: In the Dev-Dharma app case, I automated data scraping and record creation in Firebase and saved 90% of time spent in manual data entry and enhanced the workflow efficiency. Resolved Key Bugs in IETM Project: I resolved key faults in the IETM system by optimizing the HTML structure, resulting in improved load performance and stability. Python-Based File Presence Tracker Tool Built: This tool helped in confirming file integrity and reducing 50% of the quality assurance efforts, ensuring faster delivery and less error. Key Contributions: Helped improve the testing coverage significantly by automating core workflows. Worked with cross-functional teams like QA and product to optimize the overall development process and helped ensure continuous integration readiness.
Android Secretary at Easy Code Classes, Mar 2022 - May 2023 · 1 yr 3 mos, • Led the Android department at Easy Code Classes, mentoring students in native application development. • Developed comprehensive curriculum materials that improved student engagement and learning outcomes. • Implemented hands-on projects, resulting in a 30% increase in student project completion rates.
Competitive Coding Coordinator at Easy Code Classes, Apr 2021 - Mar 2022 · 1 yr, • Coordinated competitive coding sessions, providing video solutions for coding challenges on HackerRank. • Enhanced student engagement by developing interactive content and tutorials, resulting in a 30% increase in participation. • Collaborated with instructors to refine coding problem sets, ensuring clarity and educational value.
Masters, Computer Science Negotiated Learning, University College Dublin
B.Tech, Information Technology, JSPM's Rajarshi Shahu College of Engineering
github: https://github.com/Yadnesh-06