Himanshu Pandey - Software Engineer at Piramal Finance

Himanshu Pandey

Software Engineer at Piramal Finance

Bengaluru, Karnataka, India

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Summary

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Rockstar

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Top School

Himanshu Pandey is a software engineer based in Bengaluru with nine years of experience building scalable back-end systems and databases, currently improving personal loan platforms at Piramal Finance to expand credit access in Tier-2 and Tier-3 India. He designs Spring Boot microservices, has cut API latency in half through DB tuning and caching, and launched loan products that materially increased disbursements while reducing infrastructure costs. An avid database enthusiast, he contributes to MariaDB, ClickHouse and plans to work on Apache Cassandra, and has implemented a frm-parser for complex DDL as a GSoC project. His open-source work spans systems-level projects too—compiling and extending bpftime for MacOS and enhancing LFortran’s address-to-line mapping and tests—showing comfort from low-level eBPF runtimes to compiler internals. Colleagues find him pragmatic and detail-oriented, with a knack for squeezing performance and reliability gains that directly align with business metrics.

9 years of coding experience

Bachelor of Technology - BTech, Electrical Engineering, Bachelor of Technology - BTech, Electrical Engineering at Sardar Vallabhbhai National Institute of Technology, Surat

High School, High School at St. Xavier's High School Vapi

Stackoverflow

Stats

85reputation

2kreached

8answers

2questions

Github Skills (13)

compiler10

fortran10

compiler-compiler10

testing10

cprogramming-language9

c-language9

antcolony6

elasticsearch6

docker6

python6

numpy6

elasticsearch-plugin6

django6

Programming languages (22)

JavaCSSC++RustCScalaVueGo

Github contributions (5)

lfortran/lfortran

Mar 2021 - Mar 2021

Official main repository for LFortran

Role in this project:

Back-end Developer & Test Automation Engineer

Contributions:15 commits in 6 days

Contributions summary:Himanshu primarily contributed to the LFortran compiler by implementing and refining a function for address to line number mapping, critical for stack trace analysis. They optimized the search algorithm using bisection, and later added a linear search implementation. Additionally, the user significantly expanded the test suite with various test cases, ensuring the accuracy and reliability of the address-to-line-number functionality, including edge case scenarios.

apljupyter-notebookcompilerfortranrepl

thatswhatthecodesaid/Zeus

Feb 2020 - Jan 2025

Contributions:4 PRs, 1 push in 5 years

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