Tushar ‎

Software Engineer

Gurugram, Haryana, India6 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

5+ years in backend software engineering.
Expertise in low latency and high-frequency trading systems.
Proven track record of optimizing performance and automating workflows.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI/ML solutions.

Contact

Skills

Core Skills

Low Latency TradingElectronic Trading SystemsContinuous IntegrationProduction SupportDeep LearningMedia Workloads

Other Skills

AlgorithmsAmazon Web Services (AWS)Application Programming InterfacesArtificial Intelligence (AI)Automation ScriptsBashBazelBoost librariesCC++CaffeContinuous Integration and Continuous Delivery (CI/CD)Data ScienceDatabasesDeadline Oriented

About

Backend Software Engineer with 5+ years of experience in building scalable, high-performance trading and data platforms in fast-paced financial and hardware environments. Proficient in C++, Python, and distributed systems with a strong foundation in algorithms, system design, and DevOps. Known for improving performance, automating workflows, and shipping production-grade features under tight deadlines. Passionate about solving hard backend problems with clean, maintainable code and strong debugging skills. Currently working on low latency electronic trading platforms as backend/Infrastructure engineer.

Experience

Morgan stanley

2 roles

Software Engineer III

Promoted

Sep 2024 – Present · 1 yr 6 mos · Hybrid

Built and optimized low-latency, high-frequency electronic trading systems using C++, Python, and Boost libraries; improved execution latency by 20%.
Designed and implemented the next-gen Order Management System handling millions of trades/day via
FIX Protocol and Monorepo architecture.
Migrated legacy build system to Bazel, reducing build time by 30% and improving developer productivity.
Automated server health monitoring, data cleanup, and reporting scripts in Python; reduced manual ops by 80%.
Deployed a scalable log replay mechanism to reproduce and debug production issues in real-time
environments.
Pioneered integration of LLM tools (via GitHub Copilot) into the development workflow, enhancing code
quality and reducing review cycles.
Delivered production features end-to-end, including writing regression/unit tests and maintaining CI/CD
pipelines (Jenkins).
Acted as on-call engineer for critical systems, ensuring 24/7 uptime and rapid incident response.

C++PythonBoost librariesFIX ProtocolMonorepo architectureBazel+4

Software Engineer II

Jul 2022 – Sep 2024 · 2 yrs 2 mos · Hybrid

Worked on Feature Engineering for Business/Client Requirements.
Level3 production support and execute IT daily change management processes within the team.
Configuring server processes and test the changes to server processes, managing Deployment of changes into production.
Implemented and Deployed the Automation Scripts which handles the enormous data on Production Servers, generates the E-mail reports, perform Auto cleanup of the Servers.
Improved the Log Replay process that helps in finding the bugs by Mimicking the Orders of Real-time Application of Prod Environment in QA. Used Jenkins pipelines and Automated scripts to bring down the execution time.
Proactively Shipping Features and Fixes to Production and Served as an on-call engineer.
Performing SDLC tasks, Code Reviews and keeping the code base reliable by Addition of Unit/Regression Tests and Creating CI/CD pipelines.

Feature EngineeringAutomation ScriptsJenkinsProduction SupportContinuous Integration

Intel corporation

2 roles

Software Development Engineer

Aug 2020 – Jul 2022 · 1 yr 11 mos

Built software pipelines for server-class GPUs focused on DL inference performance and profiling.
Led a cross-functional team of engineers to deliver complete end-to-end validation pipelines for Deep Learning & Media Workloads.
Created an end-to-end deep learning execution framework leveraging Docker to scale and containerize the workflows efficiently.
Utilized FFmpeg to transcode and validate performance of media workloads, ensuring accurate benchmarking across video processing scenarios.
Spearheaded validation automation using Python and Bash, reducing manual validation time by 70%.
Awarded Spontaneous Recognition Award by senior leadership for ensuring on-time delivery of ML validation reports and on-time execution.

Deep LearningDockerFFmpegPythonBashMedia Workloads

Software Development Engineer Intern

Aug 2019 – Jul 2020 · 11 mos

Benchmarked DL models (TensorFlow, ONNX, Caffe) for inference latency and throughput.
Validated compute kernels using Python-based Autonomous Testing Framework.

TensorFlowONNXCaffePythonDeep Learning

Wipro limited

Technical Engineer

Dec 2017 – May 2018 · 5 mos

Leveraging the Customer Relationship Management salesforce Utility to provide the real time solutions to client queries and handled the peers issues dynamically at a large scale. Recognized as best performer of the month too.