Kaushal Agrawal

Software Engineer

Kanpur Nagar, Uttar Pradesh, India7 yrs 3 mos experience

Key Highlights

Boosted profitability by over 40% as a Quant Trader.
Played a key role in scaling a cybersecurity startup.
Developed solutions for API security at Cequence Security.

Stackforce AI infers this person is a Cybersecurity and Fintech expert with strong cloud architecture skills.

Contact

kaushal0181@gmail.com ; kaushala@iitk.ac.in LinkedIn

Skills

Core Skills

Api SecurityCloud ComputingCybersecurityCloud ArchitectureQuantitative TradingData AnalysisSoftware Development

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)BashC++Code ReviewCoding StandardsCommunity EngagementConcurrent ProgrammingContainerizationContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDistributed SystemsGCPGo (Programming Language)

About

Hi, I'm Kaushal. I'm a software engineer passionate about solving complex problems and building performant, resilient systems. I have 6 years of experience across startups and trading firms. Currently, I'm an Engineer at Cequence Security, where I'm focused on developing solutions for API security and protection. Previously, I was a Founding Engineer at Traceable AI, where I played a key role in the Data Collection team, collaborating with Engineering, Customer Success, and Quality teams to mature the product. Before that, I worked as a Quant Trader at Quadeye Securities, where I implemented a latency improvement protocol that boosted firm-wide profitability by over 40%. I also contributed to automation, security, and risk management processes. I'm excited to take on new challenges, build impactful products, and solve meaningful problems. Feel free to connect!

Experience

7 yrs 3 mos

Total Experience

2 yrs 6 mos

Average Tenure

2 yrs

Current Experience

Cequence security

Senior Software Engineer

May 2024 – Present · 2 yrs · India · Remote

Developed data processing services to capture and analyze customer traffic for security insights.
Built a new HTTP reader to efficiently handle incoming data streams for better performance and scalability.
Enhanced monitoring by adding comprehensive metrics and debug endpoints for better visibility.
Integrated OpenTelemetry (OTel) across services to enable real-time metrics, logs, and traces.
Automated deployment workflows using Terraform, improving the reliability of Azure-based services.
Replaced legacy storage with GitLab Package Registry to improve CI/CD efficiency and reduce costs.
Conducted internal demos showcasing OTel visualizations and improved traffic capture workflows.
Fixed critical issues in Azure APIM policies, enhancing error handling and reducing downtime.
Supported customer onboarding with improved documentation, scalable solutions, and hands-on guidance.

Python (Programming Language)Go (Programming Language)API SecurityCloud Computing

Traceable ai

Founding Engineer

Aug 2021 – Apr 2024 · 2 yrs 8 mos · India · Hybrid

Founding engineer at a cybersecurity startup that scaled from <500k to 15M+ ARR and 75+ engineers.
Enhanced Kubernetes observability with out-of-band traffic capture for thousands of pods.
Built scalable AWS/GCP traffic-mirroring solutions using EC2, ECS, VPC, and CloudFormation.
Developed Lambda function for server-side change detection, optimizing API calls and error handling.
Improved internal C++ library with robust logging and rate limiting for reliability.
Developed a monitoring tool to capture Amazon API Gateway traffic; deployed via Terraform.
Enhanced product performance for major clients (Amex, Zee, Outreach) handling 100M+ requests/day.
Developed internal tooling, refined testing methods, and led cloud permission documentation efforts.
Facilitated client onboarding with scalable solutions, documentation, and customer support.

MicroservicesCloud ComputingCybersecurityCloud Architecture

Quadeye

Quantitative Trader

Jan 2019 – Jul 2021 · 2 yrs 6 mos · Gurgaon, India

Designed and implemented high-frequency trading strategies, achieving up to 40% profit gains.
Managed Index strategies in Brazil and the US, optimizing models for better performance and profitability.
Developed predictive strategies for China’s Commodity Futures, addressing data gaps effectively.
Led global market data initiatives, establishing efficient pricing models and cost reconciliation systems.
Automated trading operations and error handling systems, improving reliability and reducing manual effort.
Built real-time performance monitoring and alerting tools, enhancing strategy visibility and response times.

RPythonQuantitative TradingData Analysis

Goldman sachs

Software Engineer

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India · On-site

Enhanced anomaly detection models, improving precision & operational efficiency via data-driven insights.
Built an automated real-time anomaly detection dashboard, accelerating issue detection and recovery.

AlgorithmsSoftware ProjectsData AnalysisSoftware Development