Vetted Scrum Professionals

“Full-stack engineer (4+ years) with Citigroup experience building a modular banking dashboard using React/TypeScript/Redux and a Java Spring Boot microservices backend (12+ services) integrated with Kafka. Strong in reliability/observability and cloud operations on AWS (EC2/S3/Lambda, CloudWatch, Prometheus, ELK, IaC with Terraform/CloudFormation), with quantified improvements in latency, development speed, and data pipeline correctness.”

“Software engineer with Prudential Financial experience building enterprise Spring Boot microservices for policy/risk assessment, including integrating Python ML models via Flask and hardening services with resiliency patterns. Also led an AWS lift-and-shift modernization during an internship (EC2/ELB/Route53/Auto Scaling) and built a personal diffusion-model text-to-music project using BERT tokens mapped to Mel spectrograms.”

“Worked on a long-running, high-dependency production rollout in financial post-trade systems, delivering trade-booking functionality on post-trade feeds used by multiple downstream teams. Emphasizes cross-team/external-team coordination and extensive testing to avoid disruptions, with additional experience improving application reliability via VPN-based resiliency measures.”

Yashodhar Pansuria

Screened

Senior Full-Stack Java Developer specializing in capital markets and trading systems

East Windsor, NJ12y exp

“Backend/data engineer with production experience in payment initiation/processing services built in Python/FastAPI, emphasizing reliability patterns (JWT/RBAC, timeouts, retries, circuit breakers). Has delivered AWS deployments on ECS (ALB, autoscaling, CI/CD to ECR) plus Lambda-based reporting, and built AWS Glue ETL pipelines with schema evolution and CloudWatch monitoring. Also modernized a legacy SAS reporting platform to Python/PostgreSQL with regression parity testing and parallel-run migration, and achieved a 70% SQL performance improvement.”

Suraj Thangellapally

Screened

Junior Software Engineer specializing in machine learning and data science

San Jose, CA2y exp

“Python backend engineer who built a personal LLM-powered AI code review tool that parses code into context-preserving diff chunks and uses the OpenAI API to analyze and summarize changes. Has hands-on Kubernetes deployment experience (replicas, rolling updates, ConfigMaps/Secrets, health probes) and follows GitOps-style, declarative CI/CD workflows; also has experience designing streaming/event-style processing with attention to reliability and observability.”

Harshitha K

Screened

Mid-level Full-Stack .NET Developer specializing in cloud-native microservices

Greensboro, NC5y exp

“Full-stack .NET engineer with cloud and applied GenAI experience who shipped a real-time policy status tracking module at Lincoln Financial using ASP.NET Core/.NET 8, Kafka, Angular, SQL Server, Redis, and AKS autoscaling. Also delivered a production internal LLM+RAG support assistant at Honeywell with strong security/guardrails (PII masking, RBAC) and a rigorous eval/regression loop built on a 200-question gold set.”

Aniruth Ravula

Screened

Mid-level Full-Stack Java Developer specializing in Angular and Spring Boot microservices

5y exp

“Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).”

Mohithkumar Bolisetti

Screened

Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms

Strongsville, Ohio5y exp

“Full-stack engineer focused on modernizing legacy financial/compliance platforms into cloud-native, domain-driven microservices. Deep hands-on experience across Spring Boot/Kafka/Redis/Postgres-Mongo backends and React/Angular frontends, with strong CI/CD and Kubernetes/OpenShift deployment practices for real-time, high-volume workloads.”

Vamshi Korra

Screened

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native microservices

Remote, USA5y exp

“Open-source React dashboard/visualization library maintainer focused on runtime performance and API clarity. Led a significant effort to eliminate severe render lag on large live-updating datasets through profiling-driven refactors (normalized state, memoized selectors) and locked improvements in with CI, linting, and documentation that reduced regressions and improved external contributor onboarding.”

“Analytics professional with Northern Trust experience focused on investment portfolio reconciliation and reporting. They combine SQL, Python, and Power BI to clean and validate high-volume financial data, automate manual processes, and align operations and accounting teams on shared metrics—driving roughly 20% improvement in reconciliation accuracy.”

“Worked on a P&C insurance integration project at Accenture, using SQL to unify policy, billing, and claims data from APIs and ETL pipelines into clean reporting tables. Demonstrated hands-on experience with data quality validation, window-function-based transformations, and query performance tuning, helping business teams get a single reliable view for faster claims processing and management reporting.”

“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”

“ML/AI engineer with hands-on experience building production systems in financial services, including a real-time underwriting analytics platform at Hartford Financial Services. Stands out for combining classic ML, low-latency API deployment, monitoring, and emerging LLM/RAG design patterns, with measurable impact including 20% better decision accuracy, sub-200ms latency, and 5M+ records processed daily.”

“Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.”

“Developer in the mortgage domain who owns regulated client-letter and reporting changes across front-end scripting, serverless testing environments, and SQL/reporting workflows. They stand out for improving release operations by introducing SOAP UI testing, which nearly doubled letter-update throughput even while serving as the only developer on these projects, and for quickly resolving production issues within 24 hours.”

“Junior developer with over a year of experience who is already applying AI-assisted engineering practices in production, including GitHub Copilot, ChatGPT, SonarQube, and OpenAI-based workflows. On a Citibank public portal built with .NET 8 and Angular, they used AI tooling plus CI/CD quality gates to speed delivery and reportedly reduce post-deployment bugs by 30-40% while maintaining strict security and compliance standards.”

Tyler Moon

Screened

Mid-level Software Engineer specializing in medical device and embedded systems

Sunnyvale, CA5y exp

“Software engineer from Abbott with hands-on experience building internal medical device engineering tools in MFC/C++/C#, including a reusable Trim Converter that automated manual workflows. Strong in modular architecture, asynchronous device communication, and iterating with users to improve reliability and workflow fit, now targeting fullstack engineering roles despite limited React/TypeScript production experience.”

“Frontend developer who helped drive a high-stakes migration from a legacy CMS-rendered UI to a code-based implementation in Visual Studio Code, acting as a POC for asset tracking and rollout coordination. They emphasize hands-on testing, QA collaboration, reusable JavaScript UI work, and cross-browser fixes, and cite a successful production launch that received positive customer feedback and internal appreciation.”

Justin Stander

Screened

Staff Frontend Engineer specializing in React platforms and SaaS architecture

New York, NY22y exp

“Frontend engineer who owned a globally deployed, multi-brand appointment-booking experience for Estée Lauder, balancing React modernization with legacy platform constraints. Stands out for combining micro-frontend architecture, browser-performance optimization, and product analytics tools like Fullstory, NPS, and attribution tagging to drive both UX improvements and measurable revenue impact.”

Koushik Ravikumar

Screened

Mid-level Full-Stack Engineer specializing in cloud-native Java and AI platforms

Kyle, TX4y exp

“Full-stack engineer with strong cloud and platform experience spanning React, Go, AWS, Kafka, and Terraform. Has led complex migrations from monolithic/containerized systems to microservices and cloud deployments, built compliance-oriented logging infrastructure, and improved a broken frontend codebase to achieve a 3x performance gain while making it easier for other developers to extend.”

“Senior project/program leader with 20+ years delivering enterprise cloud, data, infrastructure, and operational software implementations in highly regulated environments. Has progressed from project execution into multi-stream modernization leadership, managing concurrent portfolios, executive steering committees, and governance-heavy transformations at organizations including Harvard and UniFirst.”

“Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.”

“Frontend engineer working on United Healthcare's rewards experience across mobile and web, with experience building high-visibility user financial history features for millions of users. They emphasize maintainable React/TypeScript architecture, UI correctness, and production troubleshooting with Datadog RUM, and also described a custom CMS-driven rendering framework in Next.js.”