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Vetted Jest Professionals
Pre-screened and vetted.
Sharath Kasula
Senior Full-Stack Engineer specializing in React, TypeScript, and real-time web applications
“Frontend-leaning full-stack engineer at T-Mobile who owned a real-time operational dashboard end-to-end, from Figma collaboration through React/TypeScript implementation to backend/API and SQL performance coordination. Stands out for diagnosing cross-layer production issues, improving onboarding with measurable drop-off reduction, and turning repeated product needs into reusable primitives adopted across multiple teams.”
Kevin Pham
Junior Software Engineer specializing in full-stack and iOS development
“Built and shipped a production Python service integrating with a helium mass spectrometer for real-time sensing and remote control/monitoring. Combines hardware integration, observability, and Playwright-based automation expertise, with a strong track record of turning brittle or ambiguous real-world processes into reliable systems— including reducing dashboard automation failures from about 20% to under 2%.”
Antonio Pavicevac-Ortiz
Senior Full-Stack Engineer specializing in React/Next.js for FinTech and media
“Built Hillfinder, a self-directed terrain-aware navigation app for cyclists, runners, and skaters, using React, Next.js, TypeScript, MongoDB, and Mapbox. Stands out for owning a complex browser-based geospatial UI and solving tricky async state and loader synchronization issues with event-driven architecture while emphasizing polished, trustworthy UX.”
Namrata Shivshankar patil
Mid-level Backend/Full-Stack Engineer specializing in cloud, AI, and distributed systems
“Built and shipped internal AI support systems spanning Angular/TypeScript frontends, Java/Spring/AWS backends, and Claude-powered troubleshooting workflows. Stands out for combining full-stack product delivery with practical LLM engineering, including RAG, structured outputs, production evals, and careful human-in-the-loop safety decisions. Has shipped systems serving 150-800 daily sessions at 99.5% availability while reducing repetitive support burden.”
David Arango
Senior Frontend Engineer specializing in large-scale React and TypeScript applications
“Frontend engineer with production experience at CarGurus, including leading a React/TypeScript "pizza tracker" feature for vehicle sellers and diagnosing a hidden CTA bug that materially hurt conversion until they traced it through LogRocket session replays. Combines strong React performance instincts with practical UX debugging, testing discipline, and cross-functional collaboration.”
Saumay Killa
Mid-level Full-Stack Engineer specializing in AI SaaS and web applications
“Built a career platform feature end-to-end that generates tailored resumes and cover letters using a React/TypeScript frontend, Postgres, and AWS Lambda/SQS backend. Strong in event-driven, serverless architecture and pragmatic product iteration, with a quantified 60% improvement in onboarding completion after redesigning the UX with resume parsing and a multi-step flow.”
Ashok Canchi
Junior Software Engineer specializing in full-stack and AdTech systems
“Front-end engineer with nearly 2 years of React experience who independently owned a revamp of an internal ad tech platform as the sole front-end engineer. Stands out for handling complex conditional UI flows, collaborating across product/design/backend, and proactively improving usability and performance through techniques like debouncing, virtualization, and TypeScript.”
Sai Sangaraju
Senior Full-Stack Java Engineer specializing in FinTech and enterprise platforms
“Java/Spring Boot engineer with startup-style ownership experience across e-commerce, banking, and healthcare analytics. Stands out for driving a monolith-to-microservices migration with Kafka that improved checkout reliability under peak load, while also contributing full-stack with Angular and supporting production operations end to end.”
Dev PARIKH
Mid-level Software Engineer specializing in backend systems and applied AI
“Backend/full-stack engineer at Qualcomm who built and operated a drift monitoring platform for 10k+ edge AI models. Stands out for combining strong TypeScript/React/Node execution with production-grade systems thinking across PostgreSQL tuning, Redis caching, ECS deployments, and Kafka-based architectural improvements that measurably improved reliability and release speed.”
Abhilash Nataraja
Mid-level Software Engineer specializing in frontend and mobile applications
“Frontend engineer who served as the sole developer for Walmart's locker management feature, now live in 2500+ auto care stores and credited with reducing customer check-in/checkout time by 18%. Brings hands-on experience across React/TypeScript architecture, operational dashboards, analytics, testing, and cross-functional delivery with backend and mobile teams.”
Yishan Hsueh
Junior Full-Stack Engineer specializing in scalable web platforms and FinTech
“Full-stack product engineer with end-to-end ownership across React, TypeScript, backend APIs, and AI-assisted workflows. Built a scheduling management feature at Intuit that enforced complex business rules and reportedly reduced costs by about 25%, and also created a secure monorepo platform for their own jewelry business with access control and RLS from the start.”
Buyun Wang
Senior Full-Stack Developer specializing in web and mobile products
“Frontend engineer focused on marketing and analytics products, including a real-time multi-touch attribution dashboard. Uses Next.js (SSR/ISR) with React/TypeScript and Tailwind, and emphasizes quality at scale via automated testing, CI/CD (GitHub Actions), feature-flagged staged rollouts, and Mixpanel-driven iteration. Experienced modern state management patterns (React Query + Zustand) and performance tuning (code-splitting, dynamic imports, lazy loading).”
Ajay Kumar
Mid-Level Java Full-Stack Developer specializing in Financial Services and Healthcare IT
“Full-stack engineer with experience at Vanguard, PNC, and Humana building customer-facing investment/banking flows and internal ops tools using Angular/React/TypeScript with Spring Boot microservices. Strong in shipping time-sensitive changes safely via automated testing/CI (JUnit/Mockito, Jenkins, SonarQube) and in operating event-driven microservices with Kafka (idempotency, retries, correlation IDs). Improved internal tool adoption by responding to ops/support feedback with query optimization and clearer search results.”
Premika P
Senior Full-Stack Software Engineer specializing in healthcare and financial backend systems
“Platform-minded JavaScript/TypeScript engineer who has maintained and evolved shared NPM-distributed libraries at Capital One and HCA Healthcare, treating internal packages like open source (issue triage, PR reviews, roadmap, docs). Known for methodical debugging and performance work—e.g., diagnosing latency spikes via load testing/instrumentation and redesigning middleware to avoid redundant parsing—paired with strong developer enablement through examples and migration notes.”
Charmil Shah
Mid-level Full-Stack Developer specializing in FinTech and cloud-native web apps
“Backend engineer who built a containerized Flask service powering an engineering metrics dashboard by syncing GitHub and Jira data into PostgreSQL, with strong emphasis on schema design, query performance, caching, and background processing. Has hands-on experience with SaaS multi-tenancy (tenant scoping + Postgres RLS) and integrating AI/ML inference via separate model-serving services (FastAPI + TensorFlow Serving) and external APIs (OpenAI/Hugging Face/PyTorch).”
usha kodati
Mid-level Full-Stack Developer specializing in banking and cloud-native microservices
“Software engineer with Citi Bank experience building real-time fraud validation/scoring for loan processing, spanning Spring Boot microservices and a FastAPI Python service secured with OAuth2/JWT. Delivered React/TypeScript operations dashboards and deployed containerized services via Docker/Kubernetes with Jenkins CI/CD, while also tuning databases (Oracle/Postgres) and handling high-volume latency/scaling issues using ELK, caching, and autoscaling on AWS.”
Yogi Makadiya
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and DevSecOps
“Backend-leaning product engineer with DevSecOps depth who has shipped real-time, Kafka-driven data pipelines and AI-enabled customer-facing features to production on AWS. Built a Spring Boot API layer serving real-time predictions at 100K+ requests/day, improving latency by 35% and user task completion by ~25%, and delivered a React/TypeScript dashboard plus a Postgres audit/history model optimized for search and large event volumes.”
Sai Kondapaka
Mid-Level Software Engineer specializing in microservices, data pipelines, and FinTech fraud detection
“Backend engineer with PayPal experience owning a high-throughput, low-latency fraud detection pipeline processing billions of transactions/day, integrating LLM-based models into real-time Kafka streams and payment decisioning APIs. Strong Kubernetes + GitOps practitioner (declarative, auditable deployments; autoscaling/probe tuning) with migration experience modernizing legacy systems onto AKS/OpenShift.”
SNEHA KUSUMA
Mid-level Java Full-Stack Developer specializing in banking and telecom platforms
“Frontend-focused engineer with experience at T-Mobile and U.S. Bank who maintained a TypeScript utility library (types, tests, build pipeline, and docs) adopted by multiple teams, and improved React workflow performance by refactoring components and optimizing data fetching. Known for pragmatic cross-team support—reproducing issues quickly, shipping well-tested fixes, and managing changes carefully to avoid breaking downstream apps.”
JiHeon Kim
Mid-Level Backend Software Engineer specializing in Financial Services
“Frontend engineer focused on React/TypeScript dashboards and end-to-end product delivery, including RBAC with JWT, Redux-based session persistence, and a centralized API layer with token injection. Has experience with real-time MongoDB-backed updates (shared across web and mobile) and has solved production-impacting issues like timezone inconsistencies using date-fns/UTC conversions, backed by Jest + manual QA and rollback-driven release practices.”
Sanket Dumbare
Mid-Level Software Engineer specializing in cloud-native microservices and FinTech platforms
“Backend/platform engineer who led an end-to-end Python (FastAPI) transaction analytics microservice for real-time financial monitoring, including SQS ingestion, scoring/aggregation, and low-latency APIs. Strong AWS + Kubernetes/GitOps background (EKS, ArgoCD, Jenkins, ECS/ECR, CloudWatch) with hands-on experience scaling event-driven systems and executing phased on-prem to AWS migrations.”
“Unity/gameplay engineer (Playtika) who built a state-machine/ECS-driven slot/bonus engine in a client-server setup, focusing on consistent outcomes under latency and highly engaging reward sequences. Also implemented server-authoritative real-time challenges/contests via an event-driven messaging system (SignalR-like) across iOS/Android/WebGL/UWP, and validates impact through retention/session/engagement analytics.”
Sai Krishna Devarasetti
Mid-level Full-Stack Engineer specializing in FinTech and AI-powered web platforms
“Full-stack engineer with 6+ years of experience building high-scale internal products and AI-powered workflows, including a U.S. Bank payment operations dashboard handling 500k+ transactions and real-time analyst collaboration. Stands out for true end-to-end ownership—from React/TypeScript frontend architecture to Node/Spring services, PostgreSQL/Redis optimization, Kubernetes deployment, and Datadog monitoring—plus measurable impact on adoption, latency, and analyst efficiency.”
Supreet Purthpli
Mid-level AI/ML Software Engineer specializing in cloud-native MLOps and FinTech
“Software engineer with JPMorgan Chase experience delivering end-to-end fintech features (Next.js/React/Node/Postgres on AWS) and measurable performance gains. Built and productionized an AI-native credit decisioning workflow combining LLMs, vector retrieval, and a rules engine with strong governance (bias checks, auditability, human-in-loop), improving precision and cutting underwriting turnaround time by 40%.”