Himanshu Tekchandani

Senior Software Engineer

Agra, Uttar Pradesh, India2 yrs 4 mos experience

Highly Stable

Key Highlights

Ranked 5714 in JEE Advanced'19.
Proficient in multiple programming languages.
Strong problem solver with 1000+ questions solved.

Stackforce AI infers this person is a Backend Developer in Fintech with strong microservices expertise.

Contact

Skills

Core Skills

MicroservicesBackend Development

Other Skills

Go (Programming Language)KubernetesProblem SolvingCommunicationRDBMSAmazon Web Services (AWS)PHPMySQLSQLCascading Style Sheets (CSS)Node.jsObject-Oriented Programming (OOP)HTMLC++

About

Motivated software developer with a rank of 5714 in JEE Advanced'19 and a degree from IIT Dhanbad'23. Proficient in C++, C, JavaScript, and experienced in data structures, algorithms, OOPs, DBMS, and OS. Skilled problem solver with 1000+ questions solved on platforms like GeeksForGeeks, LeetCode, Codeforces, CodeChef, and HackerRank. Proficient in web development using HTML, CSS, React.js, Node.js, MongoDB, and Express. Seeking software development engineering opportunities to contribute to innovative projects. Strong collaborator, eager to join a growth-oriented team. Let's connect to explore how my expertise can add value to your organization.

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Razorpay

2 roles

Senior Software Development Engineer

Promoted

Oct 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

Go (Programming Language)KubernetesMicroservicesBackend Development

Software Development Engineer

Dec 2023 – Sep 2025 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

December 2023 - March 2024
Enhanced Data Security with PII (Personally Identifiable Information) redaction in logs to prevent exposure of sensitive account and contact data.
Improved Payout Accuracy through NEFT credit confirmation logic, reducing reversals and enhancing SLA adherence.
April 2024 -September 2024
Optimized Payout Latency: Reduced payout latency by 200ms through Redis-based caching and pre-calculation of pricing data.
Developed Fee Recovery System in the microservice to manage debit/credit transaction lifecycle and handle pending recoveries seamlessly.
Implemented Queued Payout Processing to process queued payouts using scheduled jobs based on balance availability, ensuring timely execution.
Microservice Core Functionality: Implemented core payout flow for Current Account in the new Payouts Service as part of monolith migration.
Increased Service Reliability: Boosted test reliability by identifying and fixing flaky unit tests in the microservice codebase.
Ensured Financial Data Integrity: Linked payout/reversal transactions with bank statements and ledger entries for accurate financial reporting.
October 2024 - March 2025
Scaled microservice traffic to manage 20% of the live payout load while ensuring optimal system performance.
Refined Merchant Migration Strategy with balance-ID level controls, admin tooling, and feature flags for safer rollouts.
Enhanced transaction reliability in the microservice by implementing idempotency for bulk payouts during retries or failures.
Collaborated on implementing bank downtime handling in microservice by implementing logic to auto-hold and resume payouts based on real-time partner bank availability, reducing failures during outages.
Optimized Database Performance by restructuring queries and adding indexes to resolve bottlenecks.