Pritikant Sahoo
Contact details — on requestProof of Work — on request
Experience
S
Software Engineer
Societe Generale · Sep 2021 – Present
- Designed and built real-time monitoring dashboards and alerting platforms for post-trade operations used daily by trading support teams using ReactJS, JavaScript, Highcharts, and Microsoft Teams integrations, improving operational visibility by 35% and reducing manual incident triage time.
- Developed and maintained backend microservices and REST APIs using Java and Spring Boot, enabling secure data integration across enterprise monitoring, alerting, and post-trade financial workflows in a high-availability production environment.
- Optimized dashboard rendering and API performance, reducing monitoring latency and improving overall system uptime by 25%.
- Led end-to-end migration of enterprise monitoring infrastructure from GeneOS to ELK Stack (Elasticsearch, Logstash, Kibana), centralizing logs across multiple production systems and reducing operational costs by 30%.
- Designed dynamic Angular interfaces with AG Grid tables, configuration workflows, and operational monitoring tools backed by Spring Boot APIs.
- Collaborated with operations and trading support stakeholders to build monitoring solutions for critical post-trade financial workflows used in daily production operations.
S
Software Engineer
Societe Generale · Sep 2021 – Jul 2026
- Worked on enterprise-scale applications supporting global trading and post-trade operations for one of Europe's leading financial institutions.
- Contributed across frontend engineering, backend services, cloud modernization, distributed systems, and performance optimization.
- Key Contributions
- • Modernized legacy Power BI reporting into a cloud-native React analytics platform on Microsoft Azure, improving dashboard responsiveness by an estimated 70–80%.
- • Designed reusable dashboard architecture using React, AG Grid, and Highcharts with synchronized filtering, drill-down workflows, and interactive analytics.
- • Implemented server-side pagination and frontend optimizations to efficiently process datasets exceeding 100K records.
- • Redesigned a high-throughput event-driven trade alerting platform supporting approximately 1,500 users, 15,000 active alerts, and 15,000 trades/sec.
- • Implemented Kafka event processing, Redis-backed snapshot recovery, and indexed in-memory matching, reducing candidate evaluations from 15,000 to approximately 100–150 per incoming trade.
- • Improved PostgreSQL CPU utilization from 92% to 25%, reduced P95 latency from 750 ms to 45 ms, and validated throughput up to 30,000 trades/sec.
- • Contributed to migrating 10+ Spring Boot microservices to Azure Kubernetes Service (AKS), implementing Docker, Kubernetes, autoscaling, blue-green deployments, and CI/CD pipelines.
- • Improved API response times by approximately 40% and reduced production downtime by 30%.
- • Leveraged GitHub Copilot and Claude to accelerate development, improve code quality, optimize debugging, generate unit tests, and streamline engineering documentation.
Skills 0 proven through work
Also works with
GeneOS UsageTechnical Knowledge SharingRequirements AnalysisVerbal CommunicationTeamworkUser Interface NavigationPagination ImplementationLazy Loading ImplementationApplication Performance OptimizationToken-based System DesignAuthentication System IntegrationApplication MaintenanceMicroservices ArchitectureAPI IntegrationData ValidationELK Stack UsageLegacy System MigrationAmazon S3Data VisualizationReact DevelopmentSoftware Development PracticesDatabase ManagementAzure DeploymentData MigrationData TransformationPower BIClickHouse DB UsageComponent-Based ArchitectureFilter and Search UI ImplementationUI Performance OptimizationCustom Component DevelopmentDashboard UI Design
Proof of Work
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Education
Bachelor of Engineering, Electronics & Telecommunication
Army Institute of Technology · 2017 — 2021
Contact details
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