Vetted Angular Professionals

“Software engineer with experience at PTC (Onshape cloud CAD) and Firebolt building customer-facing features end-to-end—from user research and prototyping (tooltips, CSV imports) through deployment and usage monitoring. Also handled urgent production crashes in a Flutter mobile app across iOS/Android by diagnosing state-management conflicts and shipping a stabilizing patch; enjoys hands-on, customer-facing work and travel.”

“Backend-leaning full-stack engineer who ships AI-enabled products end-to-end: built CodeChat, a production internal codebase Q&A tool using RAG with Pinecone and a model-agnostic wrapper across OpenAI/Anthropic/AWS Bedrock, cutting AWS costs ~50% and latency ~45%. Also built and operated RealityStream, a Flask-based real-time forecasting API with JWT/RBAC, MLflow model versioning, and Prometheus/Grafana observability, including handling a real production latency incident via rollback, preloading, and caching.”

“Former co-founder at PreConception (acquired) who partnered closely with Operations, Legal, and Medical teams to deliver a HIPAA-compliant product meeting technical and regulatory requirements. Motivated by mission and team fit, and interested in a Venture Studio CTO path with a focus on 0-to-1 building and early validation via beta testing/PMF.”

“Built and shipped production RAG-based LLM agents automating multi-step document query workflows, emphasizing reliability via monitoring, retries, structured exception handling, and fallback retrieval (alternative embeddings/keyword search). Demonstrated measurable gains (18% latency improvement, 25% retrieval efficiency, 12% precision) and has experience integrating agents with messy tax and transaction data at RSM using validation/cleaning and idempotent design.”

Subhash Krishnamoorthy

Screened

Executive Technology Leader specializing in digital transformation, headless e-commerce, and cloud architecture

Chesterfield, VA25y exp

“Technology leader focused on business-aligned roadmaps and integration-heavy ecommerce platforms. Recently delivered an on-time launch for lutusooking.com (a premium Hamilton Beach brand) by coordinating UX/UI, component-based middleware, BigCommerce, Algolia search, personalization/recommendations, payments, and supply chain integrations, and later improved scalability via a Jitterbit iPaaS approach proven during Black Friday/Cyber Monday traffic.”

Ramcharan Reddy

Screened

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

Texas, USA6y exp

“Backend engineer focused on AI-enabled systems, having built a production-style RAG pipeline (vector search + LLM) exposed via Python/Flask endpoints with strong observability and hallucination-reduction techniques. Demonstrates deep performance work in PostgreSQL/SQLAlchemy (5x faster analytics queries) and high-throughput optimization using Celery + Redis (800ms to 120ms latency, 3x throughput), plus schema-per-tenant multi-tenancy with tenant-aware middleware and logging.”

Sreeja Venkatakrishnan

Screened

Mid-level Full-Stack Developer specializing in Java/Spring and modern JavaScript frameworks

Virginia, USA4y exp

“Full-stack engineer with hands-on experience building real-time applications (Socket.io chat app) and data-heavy systems in banking/loan management. Comfortable across React and backend services (Spring Boot/Node), with a focus on scalable API design, database performance (indexing/pagination/caching), and deployment via CI/CD and cloud infrastructure.”

Siddhartha Alapati

Screened

Mid-Level Software Engineer specializing in Java/Spring microservices and full-stack web apps

Denton, TX4y exp

“Software/full-stack engineer focused on deploying and integrating microservice applications into production AWS and hybrid cloud/on-prem industrial environments. Demonstrated end-to-end troubleshooting by tracing intermittent user failures to network routing/packet loss caused by load balancer and NIC misconfiguration, then adding monitoring to prevent recurrence. Also delivers customer-specific Python extensions with strong validation, testing, and backward compatibility.”

Sowbhagya Vegunta

Screened

Senior Front-End Developer specializing in React, Angular, and accessible UI

GTA, ON8y exp

“Frontend engineer who led end-to-end delivery of a complex, real-time dashboard/discovery and admin workflow module using React + TypeScript + Redux. Emphasizes quality at scale through automated testing (Jest/Playwright), accessibility validation (NVDA/axe), and reusable component architecture (Storybook), and has hands-on experience solving performance issues via bundle analysis and route-based lazy loading/code splitting.”

Zubair Shaik

Screened

Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms

Remote, USA4y exp

“Built and productionized an LLM-powered loan decisioning agent at Bank of America, integrating RAG with microservices to automate creditworthiness assessment and recommendations. Emphasizes real-world reliability and governance (EKS autoscaling, observability, SOC2/PCI security controls), and drove measurable outcomes including 20% faster loan decisions and a reduction in agent failures/fallbacks to under 2% through schema enforcement and confidence-based routing.”

“Worked on industrial pump analytics at SitePro, where they built an anomaly detector using messy sensor and pump data and used historical failure and maintenance cost analysis to make the business case to stakeholders. They combine SQL/Python data preparation with practical stakeholder communication around metrics like churn and operational impact.”

“Built end-to-end internal and user-facing automation/data features, including a Selenium-based BU course scraper with around 1,800 users and a CSV export system that became the company standard at Triple. Shows initiative in ambiguous environments, working directly with business stakeholders and resolving production infrastructure issues involving AWS and Terraform.”

“Lead full stack Java developer with deep experience building compliance-sensitive government financial systems, including payment distribution, escrow hold management, reallocations, and disbursement workflows. Stands out for combining Angular/React frontend work with Spring Boot, Oracle SQL/PL-SQL, and batch/JMS architecture to stabilize high-volume transaction systems, automate manual workflows, and reduce production support issues.”

“Backend/ML systems engineer who built a Flask + PostgreSQL internal ticketing platform and demonstrates strong database/ORM performance depth (indexes, partitioning, RLS multi-tenancy). Notably optimized a high-throughput attachment OCR/embedding pipeline with batching, deduplication, and Redis caching, cutting median latency from 45s to 10s and reducing worker cost by 35% while increasing throughput 4x.”

varunkumar jukanti

Screened

Senior Front-End Engineer specializing in enterprise UI architecture for FinTech

Jersey City, NJ7y exp

“Senior frontend engineer with 6 years of experience building enterprise-grade Angular/React applications in regulated industries, especially banking. Most notably worked on BLCM at Tasha Bank, a compliance platform that replaced fragmented Word/Excel SharePoint processes with a unified browser-based workflow for analysts and managers, and drove measurable performance and usability gains.”

“Front-end engineer with deep expertise in sophisticated browser-based UIs for manufacturing ERP workflows, including a custom canvas-rendered scheduling timeline used by production planners all day. Stands out for combining low-level browser performance knowledge with close observation of expert users, resulting in a tool that replaced long-standing spreadsheet workarounds and significantly improved scheduling efficiency.”

Manoj Manjunatha

Screened

Mid-level Software Engineer specializing in full-stack systems and applied AI

Remote, USA4y exp

“Built the backend for “codeGuard,” an AI-powered static code analysis platform, using FastAPI and Docker. Structured the system into API/service/execution layers and addressed heavy-workload container resource/cleanup issues via strict CPU/memory limits and a queued execution model.”

“Full-stack engineer with deep production experience across healthcare, e-commerce, and financial systems, including early-stage startup architecture work and large-scale enterprise platforms. Stands out for driving a Spring Boot/RabbitMQ microservices migration that stabilized healthcare claims processing and for leading React modernization work supporting 50M+ weekly e-commerce transactions.”

“Backend/microservices engineer (Java/Spring Boot, Kafka, Angular microfrontends) with Teradata experience building distributed analytics/query routing platforms and delivering 20–30% latency reductions through event-driven redesign and reliability hardening. Also built and shipped an end-to-end multimodal medical imaging AI feature (LLaVA/Mistral 7B + LoRA) with production guardrails like confidence-based human review, drift monitoring, and audit logs.”

“Backend engineer who built a real-time, event-driven alerting platform (Java/Spring Boot, Kafka, MongoDB) processing millions of events per day on AWS (Docker/Kubernetes), including hands-on performance debugging of Kafka consumer lag at peak. Also shipped an end-to-end LLM-based alert summarization feature and designed a multi-step incident triage agent workflow with retries and human-in-the-loop escalation.”

“Software engineer/product owner experience at GE Healthcare, owning a patient records and claims workflow product end-to-end. Built React/TypeScript + Spring Boot systems with contract-driven APIs (OpenAPI) and operated Spring Boot microservices using RabbitMQ, focusing on reliability patterns (idempotency, DLQs) and performance improvements driven by clinical feedback. Also created an internal monitoring/deployment dashboard that became the default tool for on-call and production support.”

“Full-stack engineer and ML assistant in UC Irvine’s CS department who deployed a lab project showcase platform and integrated on-demand execution of computational projects using Docker for isolation. Also built and optimized Linux cloud/cluster test automation for research, diagnosing RAM and network sync bottlenecks, and later led development of a Python-based predictive analytics tool for musicians using probabilistic graphical models and flexible data pipelines.”

“Software engineer experienced in e-commerce systems, building customer-facing features and internal operations tools with TypeScript/React frontends and Spring Boot microservices. Demonstrated measurable performance wins (order-tracking API improved from ~2s to <700ms) and strong event-driven reliability practices with RabbitMQ (idempotency, DLQs, retry/backoff), including resolving a production queue backlog incident. Built an ops dashboard with real-time cross-service order tracing that became a daily tool for support/ops and reduced escalations to engineering.”

“Backend/AI engineer who built an AI icon-generation SaaS backend (Java/Spring Boot, MongoDB) on AWS, including async job processing with idempotency and S3-based result storage to handle traffic spikes. Also shipped applied AI in finance—an end-to-end fraud detection pipeline with risk scoring—and designed a banking support AI agent with strict guardrails, audit logs, and human-in-the-loop escalation.”