Shefali Prajapati

Senior Software Engineer

Pune, Maharashtra, India6 yrs 1 mo experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Migrated a 90K-line monolith to microservices.
  • Deployed AI solutions reducing manual intervention by 65%.
  • Established observability stack improving detection time by 50%.
Stackforce AI infers this person is a Fintech Full-Stack Engineer with expertise in Cloud Architecture and AI Automation.

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Skills

Core Skills

MicroservicesCloud ArchitectureAi AutomationObservabilityFull-stack DevelopmentCloud InfrastructureFrontend DevelopmentBackend Development

Other Skills

.NET Core.NET FrameworkAIASP.NET MVCAWSAmazon Web Services (AWS)AngularAngular CLIAngular MaterialC#Data structures and algorithmsDatabasesDatadogDockerFastAPI

About

πŸ‘‹ Hey there! I’m Shefali Prajapati, a Senior Software Engineer at Barclays Investment Bank, where I architect and scale cloud-native, AI-powered, and high-performance systems that power global trading platforms with 99.99% uptime. πŸŽ“ Armed with a B.Tech in Computer Engineering (CGPA 9.5/10) from K.J. Somaiya College of Engineering, I merge academic excellence with real-world engineering expertise. I thrive at the intersection of system design, distributed computing, and AI-driven automation. πŸ’‘ Technical Skills Frontend: React, Angular, Next.js, Redux, TailwindCSS, JavaScript (ES6+), HTML5, CSS3 Backend: Python (FastAPI, Django, Flask), Node.js, NestJS, Express.js, .NET, GraphQL, REST APIs Databases: PostgreSQL, MongoDB, DynamoDB, Redis Cloud & DevOps: AWS (EKS, Lambda, Cognito, WAF, KMS, SQS), GCP, Docker, Kubernetes, Helm, Terraform, CI/CD (GitHub Actions, Jenkins) Observability & Security: Datadog, Prometheus, Grafana, ElasticSearch, OAuth2, RBAC, Infrastructure as Code πŸš€ Key Achievements @ Barclays Migrated a 90K-line monolith into microservices (Python + Node.js), boosting deployments 4x and improving fault isolation. Deployed agentic AI with OpenAI models for trade reconciliation, reducing manual intervention 65% and strengthening compliance. Designed a global observability stack with Datadog, Prometheus & Grafana, cutting detection time 50% and raising throughput 2.5x. Built a real-time trading analytics engine with MERN + FastAPI, cutting triage time 60% via anomaly detection. Modernized a portfolio app (AngularJS β†’ Angular 13), reducing load time 4.8s β†’ 1.5s and improving Lighthouse scores 35%. Mentored juniors & interns, improving onboarding speed and reducing production bug leakage 30%. 🌟 Highlighted Projects Discord Clone: Built a WebSocket-powered real-time communication platform. Airbnb Clone: Data-driven full-stack app showcasing scalable backend + rich UI. Reporting Dashboards: Aggregated Tableau + Splunk reports, improving collaboration 50%. SmartSearch Knowledge Base: ServiceNow integration with Angular + .NET, cutting MTTR 30%. 🧠 Problem-Solving Enthusiast I’ve solved 1000+ DSA challenges on LeetCode (contest rating 1600+). I enjoy tackling complex algorithmic problems, building fault-tolerant distributed systems, and optimizing code for efficiency at scale. πŸ”— Let’s Connect! Passionate about engineering challenges, AI/ML in production, and system design at scale. Always open to collaborating, brainstorming, or simply geeking out about elegant solutions to tough problems πŸš€

Experience

Barclays investment bank

2 roles

BA4 - Senior Software Engineer at Barclays

Mar 2025 – Present Β· 1 yr Β· Pune, Maharashtra, India Β· Hybrid

  • Migrated a 90K-line monolithic trade processing system to a scalable microservices architecture using Python (FastAPI) and Node.js, achieving a 4x improvement in deployment frequency and enhancing fault isolation.
  • Scaled microservices using Docker, Kubernetes (EKS), Helm, and Terraform, achieving 99.99% uptime across 4 global regions and handling 3x traffic spikes via auto-scaling and self-healing infrastructure.
  • Deployed an agentic AI solution using OpenAI models to automate trade reconciliation and analysis workflows, reducing manual intervention by 65% and improving the consistency of compliance reporting.
  • Governed secure RESTful and GraphQL API ecosystems across 12+ frontend trading applications and 8 internal microservices, improving system interoperability by 40% and reducing data retrieval latency.
  • Established a robust observability stack using Datadog, Prometheus, and Grafana, which improved mean time to detection (MTTD) of critical issues by 50% and boosted system throughput by 2.5x.
  • Mentored 4 junior developers and guided 2 interns, resulting in faster onboarding (from 3 weeks to 5 days) and an improved PR review quality that reduced bug leakage into production by 30%.
PythonNode.jsDockerKubernetesTerraformAWS+8

BA3 - Software Engineer at Barclays

Aug 2022 – Feb 2025 Β· 2 yrs 6 mos Β· Pune, Maharashtra, India Β· Hybrid

  • Developed and integrated custom ML models to automate compliance report generation, reducing manual analysis time by 70% and ensuring data accuracy for financial audits.
  • Built a real-time analytics platform using the MERN stack and Python FastAPI for high-throughput data streams, reducing manual data triage time by 60% via automated anomaly detection.
  • Enhanced backend observability for a high-frequency trading analytics platform by integrating Datadog and Prometheus, creating custom Grafana dashboards to track API latency and error rates, leading to a 20% improvement in incident response times.
  • Modernized the frontend architecture for a legacy portfolio management app by migrating from AngularJS to Angular 13, cutting page load time from 4.8s to 1.5s and improving Lighthouse scores by 35%.
  • Developed CI/CD pipelines using GitHub Actions and Terraform for zero-downtime deployments with 100% Infrastructure as Code (IaC), eliminating manual configuration errors and accelerating release cycles.
  • Implemented security best practices and threat modeling using AWS Cognito, WAF, and KMS, ensuring full compliance with financial regulations and SOC 2 Type II standards.
MERN StackPythonFastAPIDatadogPrometheusAngular+4

Crio.do

Geektrust Tech Scholar

Jul 2021 – Jul 2022 Β· 1 yr

  • Constructed Role-Based Access Control (RBAC) into NestJS APIs using JWT and OAuth2, securing access across 15+ enterprise tenants and reducing unauthorized access incidents by 90%.
  • Contributed to a CI/CD pipeline using GitHub Actions and Docker, authoring automated integration tests with Pytest that reduced pre-deployment bugs by 15% for a core educational module.
  • Designed and implemented custom data visualization components using React and Chart.js to display user analytics, achieving a real-time graph rendering latency of under 200ms.
  • Optimized an API Gateway with rate limiting and request throttling, and integrated a caching layer with Redis, which decreased average service lookup times by 30% and improved overall system resilience.
NestJSJWTOAuth2GitHub ActionsDockerBackend Development

k.j. somaiya polytechnic

2 roles

Internship Coordinator

Sep 2019 – Jul 2022 Β· 2 yrs 10 mos Β· Mumbai, Maharashtra, India

  • As an Internship Coordinator, I played a crucial role in our students' professional journeys. I assisted staff in maintaining records, organized dynamic internship recruitment drives, and fostered strong employer connections, granting students access to transformative opportunities aligned with their career goals.
  • My responsibilities went beyond administration. I actively guided students through the application process, providing essential interview preparation and ensuring their internships were both positive and educational experiences.
  • I collaborated closely with faculty and staff to cultivate partnerships with esteemed companies and organizations. These partnerships expanded our students' internship options significantly, enhancing their readiness for the professional world and boosting their prospects.

Class Representative

Aug 2016 – Mar 2019 Β· 2 yrs 7 mos Β· Mumbai, Maharashtra, India

  • As a Class Representative, I acted as a liaison between my fellow classmates and the faculty, ensuring effective communication and addressing any concerns or suggestions from both sides. My responsibilities included organizing class meetings, collecting feedback, and conveying it to the appropriate channels for resolution.
  • I also played a vital role in coordinating class events and activities, fostering a sense of unity and camaraderie among my peers. Being a Class Representative allowed me to develop strong leadership, communication, and organizational skills while representing the collective voice and interests of my classmates. It was a valuable experience that contributed to my personal growth and helped create a positive and collaborative learning environment within our class.

Education

KJ Somaiya College of Engineering, Vidyavihar

Bachelor of Technology - BTech β€” Computer Engineering

Jan 2019 – Jan 2022

KJ Somaiya College of Engineering, Vidyavihar

High School Diploma β€” Computer Engineering

Jan 2016 – Jan 2019

MNR School of Excellence

CBSE

Jan 2004 – Jan 2016

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