Nishchay Chaurasia profile photo 1 on Tal

Nishchay Chaurasia

SDE @ Newton School | Building scalable backend systems | CF Candidate Master | ex-Deutsche Bank, ex-D.E. Shaw

Varanasi

2+ years of work experience

Newton School
Sep 20251 yrPresent

On-site

• Led performance and reliability initiatives on the assessment platform, enhancing system throughput from 800 to 2000 rps. • Finalized API contracts with teams, implementing Redis-based rate limiting to reduce duplicate requests by 98%. • Owned the end-to-end development of AC features across Angular UI, Spring Boot services, and MySQL schemas.
Deutsche Bank
Jul 20241 yr 3 mosSep 2025

Pune District

• Owned performance optimization of the PushQuote and RFQState APIs, reducing average response time by 13%. • Built a batch booking engine for hedging workflows, decreasing manual booking overhead by 30%. • Introduced lightweight caching for reference data, improving response times by approximately 13%. • Managed production microservices on GCP using Terraform, ensuring security and operational integrity.
The D. E. Shaw Group
Jun 20232 mosJul 2023

Hyderabad

Architected real-time telemetry pipelines by streamlining data ingestion with Python and multi-threaded internal monitoring tools, reducing data-to-dashboard latency by 14%. Enhanced system observability by 18% through the implementation of granular state-based indicators and SQL-driven health-log analysis to detect anomalies in live, high-throughput financial data streams. Optimized application logic to enforce deterministic state transitions, resulting in a 5% reduction in production errors by identifying and eliminating race conditions in core service workflows.
HackerEarth
Dec 20226 mosMay 2023

Remote

Authored over 70+ advanced-level competitive programming problems focused on algorithms, data structures, and advanced data structures. Additionally, contributed 10+ SQL challenges targeting real-world query optimization. These problems have been attempted by 10,000+ users globally, fostering their expertise in coding, problem-solving, and technical interview preparation.
GitHub
@nishchay1101
Codeforces
@got_sphinx

Nishchay’s AI Stack

antigravity
antigravity
codex
codex
claudecode
claudecode

Education

Motilal Nehru National Institute of Technology

Bachelor of Technology - BTech, computer science and engineering

Motilal Nehru National Institute of Technology

20204 yrs2024
Happy Model School

High School Diploma

Happy Model School

20182 yrs2020

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Headline

SDE @ Newton School | Building scalable backend systems | CF Candidate Master | ex-Deutsche Bank, ex-D.E. Shaw

About

As a Software Development Engineer at Newton School, I contribute to building robust solutions to empower learners in their tech careers. My role leverages my expertise in instrumentation development and data pipelines to support innovative and scalable systems. A graduate of Motilal Nehru National Institute of Technology with a BTech in Computer Science and Engineering, I have honed skills in backend engineering, focusing on platform stability, high-concurrency systems, and performance optimization. My goal is to drive impactful technical solutions while enabling growth and innovation in dynamic environments.

Location

Varanasi

AI stack

antigravity

codex

claudecode

Work experience

Software Development Engineer at Newton School, Sep 2025 - Present · 1 yr, On-site, • Led performance and reliability initiatives on the assessment platform, enhancing system throughput from 800 to 2000 rps. • Finalized API contracts with teams, implementing Redis-based rate limiting to reduce duplicate requests by 98%. • Owned the end-to-end development of AC features across Angular UI, Spring Boot services, and MySQL schemas.

Software Developer at Deutsche Bank, Jul 2024 - Sep 2025 · 1 yr 3 mos, Pune District, • Owned performance optimization of the PushQuote and RFQState APIs, reducing average response time by 13%. • Built a batch booking engine for hedging workflows, decreasing manual booking overhead by 30%. • Introduced lightweight caching for reference data, improving response times by approximately 13%. • Managed production microservices on GCP using Terraform, ensuring security and operational integrity.

Front Office Tech Intern at The D. E. Shaw Group, Jun 2023 - Jul 2023 · 2 mos, Hyderabad, Architected real-time telemetry pipelines by streamlining data ingestion with Python and multi-threaded internal monitoring tools, reducing data-to-dashboard latency by 14%. Enhanced system observability by 18% through the implementation of granular state-based indicators and SQL-driven health-log analysis to detect anomalies in live, high-throughput financial data streams. Optimized application logic to enforce deterministic state transitions, resulting in a 5% reduction in production errors by identifying and eliminating race conditions in core service workflows.

Technical Content Engineer Intern at HackerEarth, Dec 2022 - May 2023 · 6 mos, Remote, Authored over 70+ advanced-level competitive programming problems focused on algorithms, data structures, and advanced data structures. Additionally, contributed 10+ SQL challenges targeting real-world query optimization. These problems have been attempted by 10,000+ users globally, fostering their expertise in coding, problem-solving, and technical interview preparation.

Education

Bachelor of Technology - BTech, computer science and engineering, Motilal Nehru National Institute of Technology

High School Diploma, Happy Model School

Public links

github: https://github.com/nishchay1101

codeforces: https://codeforces.com/profile/got_sphinx