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Senior Software Engineer at LinkedIn | BITS Pilani
Our team at LinkedIn thrives on innovation and precision, with my role centering on developing robust back-end structures that reliably handle vast datasets and complex processes. My academic foundation from BITS Pilani in Engineering, coupled with certifications in AI and Java concurrency, supports our mission to empower professional networking through cutting-edge technology. At Swiggy, my contributions to the servicability team were pivotal in enhancing the scalability of our services, using a diverse tech stack including NoSQL and AWS. This experience has honed my skills in creating solutions that not only meet but exceed industry standards, demonstrating my commitment to continuous learning and collaborative excellence.
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering
January 1, 2017 – January 1, 2021
Delhi Public School - R. K. Puram
Class-XII, Mathematics and Computer Science
January 1, 2014 – January 1, 2016
Senior Software Engineer
April 1, 2026 – Present
Bengaluru
Software Engineer
June 1, 2024 – March 1, 2026
Bengaluru
Swiggy
Software Development Engineer II
October 1, 2023 – May 1, 2024
Bengaluru, Karnataka, India
Swiggy
Software Development Engineer I
May 1, 2022 – October 1, 2023
Bengaluru, Karnataka, India
Tekion Corp
Associate Software Engineer
July 1, 2021 – May 1, 2022
Tekion Corp
SDE Intern
January 1, 2021 – June 1, 2021
National Highways Authority of India
Summer Intern
June 1, 2019 – July 1, 2019
Java Multithreading, Concurrency & Performance Optimization
Udemy
June 23, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has experience across multiple companies (LinkedIn, Swiggy, Tekion Corp) and roles, indicating adaptability. The target role is 'Data Engineer', and the candidate's experience at LinkedIn with distributed data movement and Hadoop is a strong alignment. However, the overall project diversity is not explicitly detailed, and the breadth of skills, while good in backend and data processing, could be expanded in specific data engineering tools (e.g., advanced ETL, cloud data platforms, data warehousing).
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data.