Divyanshu .

Software Engineer

Patiala, Punjab, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in low-latency systems for high-frequency trading.
Proficient in C++ and Python for system-level optimizations.
Experience in designing scalable data streaming architectures.

Stackforce AI infers this person is a Fintech professional specializing in low-latency systems and high-frequency trading.

Contact

Skills

Core Skills

Competitive ProgrammingSoftware DevelopmentLow-latency SystemsSystem ArchitectureMachine Learning

Other Skills

Algorithm DevelopmentAlgorithmsAnalytical SkillsArtificial Intelligence (AI)C++C++0xCache optimizationCommunicationComputer EngineeringComputer ScienceCritical ThinkingData ScienceData StructuresData structuresDatabases

About

Final-year CS student at PEC, Chandigarh, with a focus on high-performance computing and low-latency systems in high-frequency trading (HFT). At iRage Capital, I contributed to building real-time trading systems and optimized latency-critical pipelines for equity and derivatives markets. My experience includes designing low-level concurrency frameworks, implementing lock-free queues for efficient data flow, and profiling critical path latencies to enhance system performance. I’ve worked on scalable data streaming architectures, integrating compression and memory-efficient designs to handle terabytes of market data daily. Proficient in C++, Python, and UNIX systems, I specialize in system-level optimizations, network protocol tuning, and performance benchmarking for trading strategies. Passionate about leveraging technology to drive innovation in financial markets, I’m eager to collaborate with professionals in HFT and quantitative research.

Experience

2 yrs 10 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 1 mo

Current Experience

Cisco

2 roles

Software Engineer

Aug 2025 – Present · 8 mos

Software Engineer Intern

Jan 2025 – Jun 2025 · 5 mos

Irage broking services llp

Quantitative Research Intern

Jan 2024 – Jul 2024 · 6 mos · Mumbai, Maharashtra, India · On-site

Redesigned Market Data Interfaces to minimize latency and improve throughput, achieving a 20% reduction in order book update delays across multiple exchanges
Optimized Trading Engine Pipelines, enhancing tick-to-trade latency by implementing lock-free data structures and memory-efficient algorithms in C++
Architected Multi-Threaded Simulation Systems, achieving up to 50% faster scenario analysis by parallelizing historical data replay using advanced file I/O techniques
Designed a Custom Memory Allocation System optimized for low-latency applications, achieving a 25% speedup in critical path operations by minimizing cache misses and fragmentation

Amazon

Apprenticeship

Sep 2023 – Oct 2023 · 1 mo · India

Amazon ML Summer School'23
Attended the weekly sessions of Machine Learning where all the data training and testing methods and models were covered.

Machine LearningArtificial Intelligence (AI)Deep Learning

Girlscript summer of code

Open Source Contributor

May 2023 – Jan 2024 · 8 mos

Collaborated on Open-Source Projects, contributing modular code and resolving key issues across multiple repositories
Implemented RESTful APIs for seamless backend integration, enhancing data retrieval efficiency and user experience

Pec acm css

Implementation Body Member

Apr 2023 – May 2025 · 2 yrs 1 mo · Chandigarh, India · On-site

Conducted hackathons focused on programming and software tools, fostering skill development among peers
Contributed to Competitive Programming Initiatives, mentoring peers and sharing optimized solutions to complex algorithmic problems

Recommender SystemsDesign DocumentsImage ProcessingCompetitive ProgrammingSoftware DesignMapReduce+17