May 2022 – Mar 2024 · 1 yr 10 mos · Nagpur, Maharashtra, India

• Mentoring students throughout their journey of Learning Data Structures and Algorithms and aiding their preparation for Tech Interviews.

May 2022 – Mar 2024 · 1 yr 10 mos · Bengaluru, Karnataka, India

• Early Identification of Root Cause :
• ⋄ Implemented the RESTful API endpoints for handling file upload and generating pre-signed URLs for S3 using Spring Boot. ⋄ Executed gensim,Latent Dirichlet Allocation, Jaccard similarity, pyLDAvis to categorize 400 millions of records daily. ⋄ Applied real-time anomaly detection algorithms, including fbprophet, pmdarima, acf/pacfand OCSB, on time series data . ⋄ Employed event-driven architecture using AWS Lambda, S3, Amazon Kinesis Firehose, enabling actionable analytics.
• Beyond 5G:
• ⋄ Implemented memory optimization techniques for 5G DFCB block, achieving a 360MB (16%) reduction in memory usage.
• ⋄ Led the multithreading implementation in C++ for the DFCB, leveraging parallel processing to boost application performance. ⋄ Utilized DPDK (Data Plane Development Kit) to achieve accelerated packet processing from network interface card (NIC).

Apr 2022 – Dec 2022 · 8 mos · Bengaluru, Karnataka, India

• "I participated in coding contests regularly and recognized the difficulties faced by students in understanding the complex algorithms and data structures. To help others, I created a series of YouTube videos where I explained the mathematics and logic behind the solutions in an easy-to-understand manner. My videos provided a valuable resource for students who were struggling to grasp the concepts and I received positive feedback from viewers who found my explanations helpful. Through this project, I honed my skills in problem-solving, algorithm development, and video production."

Jan 2022 – May 2022 · 4 mos · India

• I worked with the central logging system inside the Mobi application, gaining experience in developing and maintaining enterprise-level logging solutions.
• Contributed to the design and development of the central logging system, working on features such as log aggregation, real-time monitoring, and analytics.
• Gained experience in developing and maintaining secure logging systems using industry-standard tools and protocols, including Spring Security and JWT.
• Worked in a team environment, collaborating with other developers and stakeholders to ensure the successful implementation of the central logging system inside the Mobi application

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

• contributed to the development of a third-party tracker system using HTTP ELD, Puppeteer, and various classifiers, gaining experience in web scraping and data classification.
• Contributed to the design and development of the tracker system, working on features such as data extraction, pattern recognition, and machine learning.
• Gained experience in developing and implementing web scraping solutions using Puppeteer, ensuring compatibility and stability across different browsers and platforms.
• Worked with various classifiers such as decision trees, SVM, and Random Forest to analyze and classify large datasets, ensuring accuracy and consistency in the results.