Utkarsh Munjal

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Key Highlights

Expert in distributed systems and database internals.
Proven track record in developing high-frequency trading models.
Skilled in optimizing microservices architecture for efficiency.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Database and Fintech solutions.

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Skills

Core Skills

Distributed SystemsPostgresqlC++Quantitative TradingMicroservices ArchitectureData Processing

Other Skills

AlgorithmsApache ArrowBash ScriptingBug ResolutionC (Programming Language)Change Data CaptureClusteringData StructuresDatabase InternalsDatabasesDebuggingDisk I/O OptimizationFunctional ProgrammingGenetic AlgorithmsGit

Experience

3 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 1 mo

Current Experience

Rubrik

Software Engineer

Apr 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India

Part of Cloud Native Protection Team

Yugabyte

Software Engineer

Jul 2024 – Mar 2025 · 8 mos · Bengaluru, Karnataka, India · Hybrid

Worked at the intersection of distributed systems and database internals to enhance core features in YugabyteDB.
Designed and developed snapshot synchronization in YugabyteDB, aligning with PostgreSQL semantics for
consistent data views across transactions, ensuring high availability across distributed nodes.
Developed features to support the colocation of tables on specific nodes for faster access, with a focus on the
backup and restore functionality for such tables.
Enhanced YugabyteDB’s CDC (change data capture) by optimizing disk I/O for higher throughput, enabling table
rewrites, and implementing consistent snapshot synchronization for reliable data replication.
Resolved bugs and escalations in YCQL (YugabyteDB’s Cassandra API), enhancing stability and performance.

Distributed SystemsPostgreSQLDatabase InternalsSnapshot SynchronizationChange Data CaptureBug Resolution

Quadeye

Quantitative Strategist

Jun 2022 – Jun 2024 · 2 yrs · Gurugram, Haryana, India · On-site

Developed trading models using C++ optimized for ultra-low latency, cache efficiency, and memory utilization.
Researched and applied trading alphas on large datasets, employing regression, clustering, factor analysis, and
genetic algorithm techniques. Automated processes using R and bash scripting for efficient execution.
Developed high-frequency quantitative trading strategies for various fixed income products in global markets and cryptocurrencies.
Automated pre & post market tasks and stats generation, minimizing operational issues and manual involvement.
Managed and provided guidance to a junior researcher, along with overseeing a team of six interns.

C++Trading ModelsRegressionClusteringGenetic AlgorithmsBash Scripting+1

Dremio

Software Development Engineer

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India · Remote

Developed a new gRPC-based microservices architecture, optimizing communication among systems by replacing older REST protocols for enhanced efficiency.
Implemented methods to generate Apache Arrow batches for received data and to stream using Apache Arrow Flight, significantly improving data access and query speed.
Enhanced query processing efficiency by implementing a mechanism to efficiently push filters to the scanning phase.

gRPCApache ArrowMicroservices ArchitectureQuery ProcessingData Processing