Akash Kumar Dutta

Senior Software Engineer

Gurugram, Haryana, India6 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in low-latency system design and optimization.
Strong background in high-performance computing.
Proven track record in developing scalable architectures.

Stackforce AI infers this person is a Fintech and SaaS specialist with a focus on high-performance computing and infrastructure.

Contact

Skills

Core Skills

C++Low Latency TradingPythonKubernetesCloud OrchestrationCuda

Other Skills

AlgorithmsBashBenchmarkingC (Programming Language)CUDA ArchitectureCascading Style Sheets (CSS)Front-end DevelopmentGame DevelopmentGitJavaScriptLaTeXLeadershipParallel ProgrammingPython (Programming Language)Web Development

About

Akash is a Computer Science and Engineering graduate from the Indian Institute of Technology (IIT) Kanpur. He is currently part of the core infrastructure team at Graviton Research Capital LLP, where he works on designing and optimizing low-latency systems for high-performance computing. His professional focus lies in building robust and scalable architectures that achieve state-of-the-art efficiency in real-world production environments. Beyond his current role, he has conducted research at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, as a summer research intern, and at IIT Kanpur as a Junior Research Associate. He is passionate about pushing the limits of performance engineering and is particularly interested in the challenges of building resilient, high-throughput systems that scale under demanding conditions.

Experience

Graviton research capital llp

Senior Software Engineer

Apr 2022 – Present · 3 yrs 11 mos · Gurugram, Haryana, India

C++C (Programming Language)BashLow Latency TradingPython (Programming Language)Leadership

Tower research capital

2 roles

SDE II

Mar 2021 – Mar 2022 · 1 yr

C++C (Programming Language)BashLow Latency TradingPython (Programming Language)

Core Engineering Software Developer

Jul 2019 – Feb 2021 · 1 yr 7 mos

Working on tools relating to custom IAM (access management), custom SIEM (security event monitoring) and custom OAUTH2 (delegated authorization - critical for any organization).

C++C (Programming Language)BashLow Latency TradingPython (Programming Language)

École polytechnique fédérale de lausanne

Research Internship

May 2019 – Jul 2019 · 2 mos · Lausanne Area, Switzerland

Optimization of distributed code for protein categorization. Code used in publishing research paper for the same. https://github.com/epfl-vlsc/clustermerge

C++C (Programming Language)BashPython (Programming Language)Python

Tower research capital

Software Developer Internship

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

Worked on kubernetes cloud orchestration for development of log collection pipeline.
Created a fault tolerant infrastructure for real time log processing across different teams in Tower that is end to end automated using Elasticsearch-Kafka-Filebeats/Fluentbit stack.
Enriched logs with kubernetes metadata for docker container logs, and extracted meaningful data from other logs using multiline parsers, ruby filters, grok patterns across the pipeline.
Automated pipeline: New log sources incorporated without changing the config and created helm charts for deployments to make it a production ready cluster.

C++C (Programming Language)Low Latency TradingPython (Programming Language)KubernetesCloud Orchestration

Juspay

Software Developer Internship

May 2017 – Jun 2017 · 1 mo · Bengaluru Area, India

Used Kubernetes to deploy parallel, scalable and stateful nodes in Google Compute Engine and Amazon Web Services for Graylog application consisting of Elasticsearch and MongoDB at backend.
API Connections and Cluster management for graylog and elastic search stateful sets and mongo db replica sets
Benchmarked databases focusing on transactional use cases (OLTP) : InfluxDB vs TimescaleDB and TimescaleDB vs PostgresSQL (based on pg_partman )

Indian institute of technology, kanpur

Student Research Associate

May 2016 – Jul 2016 · 2 mos · IIT Kanpur

Implemented 3-Dimension Multigrid Solver for Poisson Equation in CUDA.
Extensive parallel programming methods used for enhancing code performance, much faster than serial code. Heavy parallel coding involved, optimization techniques and CUDA Libraries used.
Code was an outline to be run on IIT Kanpur Supercomputer.

C (Programming Language)C++CUDA