Vetted Material UI Professionals

“Full-stack engineer with 8 years of experience spanning regulated healthcare IoT and enterprise security SaaS. Has worked on a high-growth healthcare equipment platform and DigiCert's certificate lifecycle management product, combining hands-on React/Node.js development with compliance, auditability, and reliability requirements. Currently seeking a more code-heavy role after moving into a more advisory position.”

Omkar Tulsidas Parab

Screened

Mid-level Software Engineer specializing in full-stack web and AI applications

United States5y exp

“Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.”

“Full Stack Software Engineer with enterprise experience across healthcare, insurance, and internal SaaS systems, combining React/TypeScript/Node.js depth with hands-on LLM feature delivery. Stands out for building secure RBAC architecture and shipping production AI workflow assistance with strong guardrails, monitoring, and human-in-the-loop decisioning in regulated environments.”

“Full-stack TypeScript engineer with hands-on experience building e-commerce and subscription/dashboard features across React, Node.js/Express, MongoDB, and PostgreSQL. Has owned features through AWS/GitHub Actions deployment and post-production support, including diagnosing stale-cache issues in production and improving team velocity by standardizing reusable UI components.”

“Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.”

“Full-stack engineer with enterprise experience at Metasystems Inc. (and Qualcomm) building high-traffic, security-sensitive systems—owned a secure transaction processing module end-to-end using Java/Spring Boot, Python/Django, and React. Strong AWS production operations (EKS/ECS/Lambda/RDS/DynamoDB) with IaC (Terraform/CloudFormation), observability, and reliability patterns; also delivered resilient ETL/integration pipelines with idempotency/retries/backfills and achieved a 50% deployment-time reduction through CI/CD and modular refactoring.”

“Backend engineer with experience building Spring Boot microservices for financial workflows at Fizzle (thousands of requests/minute) and shipping healthcare data validation automation at CVS Health. Demonstrates strong production reliability/performance skills—deep in database tuning (query plans, indexing, caching, denormalization), observability (Prometheus/Grafana), and resilient multi-step workflow design with retries and human-in-the-loop escalation.”

“Built and productionized an AI NL-to-SQL capability inside legacy accounts receivable software (React + Spring Boot + Postgres/pgvector RAG), adding semantic caching and a SELECT-only validation layer to satisfy infosec. Achieved measurable impact (3 days to seconds turnaround, 60% token cost reduction, 50% latency reduction) with strong adoption (40 analysts, 50+ queries/week) and documented/monitored via Confluence + logging and user feedback loops.”

Bandla Sai Giridhar

Screened

Mid-level Software Engineer specializing in full-stack and cloud-native microservices

Dallas, TX4y exp

“Backend engineer who built a Python/Flask system for high-volume healthcare claims processing, using PostgreSQL as the source of truth and RabbitMQ workers for scalable async processing. Experienced in SQLAlchemy/Postgres performance tuning, multi-tenant data isolation (including Postgres RLS), and integrating/versioning ML model services (scikit-learn/PyTorch/Hugging Face) with controlled rollouts. Drove measurable performance gains by batching background jobs and adding Redis caching (40% less workload; response times cut from ~10s to 2–3s).”

“Full-stack engineer with experience spanning AI-powered product features and healthcare fraud detection systems. Has built end-to-end LLM-enabled applications, customer-facing recommendation systems at scale, and operational platforms that improved real-time investigations and flagged over 1,200 high-risk cases quarterly.”

Janki Mehta

Screened

Senior Frontend React Developer specializing in scalable web applications

Fremont, CA10y exp

“Frontend-focused product engineer in healthcare who has owned patient/provider scheduling experiences end-to-end, from product requirements and API design through React implementation, deployment, and post-launch measurement. Particularly strong in real-time operational dashboards, performance optimization, and cross-functional work with backend and product teams on complex scheduling workflows.”

“Front-end engineer with hands-on ownership of a React/TypeScript workforce management platform used by site managers and field workers in the energy sector. Stands out for building scalable, reusable UI architecture for complex task/checklist workflows while also improving real-world usability and performance through pagination, bulk actions, and close feedback loops with operational users.”

“Full-stack product engineer with hands-on ownership from UX/design collaboration through React frontend build, FastAPI/Django services, and AWS deployment. Particularly notable for shipping AI-powered customer support experiences using RAG, LangChain, OpenAI, and Pinecone in a banking context, while also showing pragmatic MVP execution on inventory management workflows.”

“Backend/data engineer focused on production-grade Python microservices and AWS platforms, including a hybrid Lambda + ECS Fargate architecture managed with Terraform and CI/CD. Has hands-on reliability experience (JWT/OAuth, timeouts, retries, centralized error classification) and built AWS Glue/PySpark ETL pipelines consolidating PostgreSQL/RDS, MongoDB, and S3 sources into curated partitioned Parquet datasets. Demonstrated measurable SQL tuning impact (8 minutes to 25 seconds) and disciplined legacy-to-modern migrations with parity validation and UAT sign-off.”

“Backend-leaning full-stack engineer from ADP’s Global View team who owned major backend components of an enterprise payroll dashboard, including a fault-tolerant multi-step payroll processing workflow and error visibility features. Strong in Java/Spring Boot + PostgreSQL schema design and Redis caching, with additional production experience in Python services (JWT, testing, SonarQube) and AWS deployments via Terraform/Jenkins with autoscaling.”

“Full-stack engineer with ~3.5 years of Java Spring Boot and React experience who built an end-to-end banking transaction platform using microservices, Kafka streaming, AWS RDS, and Dockerized CI/CD. Demonstrates strong performance and reliability engineering (async processing, DLQ/retries, idempotency, caching) plus secure cloud deployment practices; has also worked across banking, healthcare, and insurance domains.”

SAI NAGINI VALLURUPALLI

Screened

Junior Full-Stack Java Developer specializing in Spring Boot microservices and React

Frisco, TX3y exp

“Full-stack Java/Spring Boot + React engineer (3–4 years) who built an end-to-end smart employee management system and a data analytics dashboard handling millions of daily transactional records. Emphasizes scalable layered REST API design, secure microservices practices (Spring Security, JWT/OAuth2), and performant React state/data patterns (Redux Toolkit + RTK Query) for large datasets and role-based views.”

“Full-stack engineer with hands-on production experience building real-time customer-facing features (order tracking + push notifications) across React/React Native and Node/Spring Boot with Postgres/MySQL. Demonstrates strong reliability patterns (transactional outbox, background workers, idempotent webhook ingestion) and has deployed/operated systems on AWS (ECS/Fargate/ALB, CloudWatch, CodePipeline) with structured observability and environment separation.”

Shashwat Negi

Screened

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

San Jose, CA3y exp

“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”

“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”

“Frontend/product engineer with strong ownership on complex, high-impact internal and government-facing products. Most notably built an intake data portal for a federal agency with dynamic form building, versioning, permissions, and migrations that exceeded adoption expectations by 300% and expanded to agency-wide use while reducing manual work by roughly a week per month.”

Indra Shakya

Screened

Senior Full-Stack Engineer specializing in FinTech

Charlotte, NC8y exp

“Frontend-leaning full-stack engineer with deep experience building real-time financial trading platforms at Bank of America. They led modernization of a global markets product by consolidating three legacy apps into a single React/Next.js platform, built WebSocket-driven market data experiences, and helped drive shared component libraries and engineering standards used across multiple teams.”