Vetted Angular Professionals

Rozaliia Russkikh

Screened

Mid-Level Full-Stack Software Engineer specializing in AI systems

5y exp

“Full-stack engineer with hands-on experience leading early AI product initiatives, including a RAG dashboard prototype and a production-ready agentic workflow integrating Front, Airtable, and Slack. Stands out for combining Angular/TypeScript frontend leadership with FastAPI backend work, plus a strong focus on evals, observability, and hardening LLM systems before launch.”

Nikita Papenkov

Screened

Mid-level Full-Stack Engineer specializing in frontend, Web3, and data visualization

Russia7y exp

“Frontend engineer with hands-on ownership of a complex blockchain launchpad UI, including a solo refactor that unified Solana and Monad flows under one architecture. Their work emphasized feature-flag-driven multi-chain support, real-time data handling, and major bug reduction, with team feedback strong enough that they nearly received a promotion.”

“Full-stack AI engineer who built HireMate end to end using FastAPI, React, and TypeScript to automate resume-to-job matching and tailoring with LLMs. Demonstrates strong practical judgment around grounding, validation, hallucination prevention, and human-in-the-loop design, and has also shipped an early-stage multi-agent rental research workflow that processed 200-300 listings in parallel.”

Michael Adeniyi

Screened

Mid-level Full-Stack & AI Engineer specializing in LLM-integrated cloud applications

New York, NY3y exp

“Built an AI immigration compliance co-pilot for F1 OPT and STEM OPT students, combining rule-based risk assessment with LLM-powered guidance on a React/TypeScript and AWS serverless stack. Stands out for thoughtful handling of high-risk AI: grounding responses in structured compliance data, adding guardrails, and keeping legal interpretation human-in-the-loop. Also contributed to an education-focused AI product for teachers and helped expand it with quiz generation and document editing features.”

“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”

“Robotics/embedded candidate who built an IoT smart shoe for visually impaired users, implementing real-time obstacle detection with ultrasonic sensors and haptic feedback on Arduino. Has practical ROS experience (RViz/Gazebo) and improved reliability in distributed systems by hardening an Arduino-to-ROS serial protocol with framing, strict parsing, and sensor-noise filtering; also containerized ROS environments with Docker for reproducible simulation and onboarding.”

“LLM/agentic-systems practitioner who has repeatedly taken LLM-driven pricing/decision services from prototype to production using pilots, guardrails, observability, and staged rollouts. Demonstrates strong real-time incident troubleshooting (dependency timeouts, cached fallbacks) and post-incident hardening (isolation/async/alerts), and also supports go-to-market via developer workshops, technical demos, and sales-aligned POCs.”

“Backend engineer working on Plumas Bank’s digital modernization, building a FastAPI-based loan origination/processing system with OAuth2/JWT security, AWS Lambda-driven PDF document generation to S3, and MongoDB integration. Has led a legacy workflow migration to a new microservice using dual-write/dual-read and monitoring, and emphasizes multi-tenant isolation via layered API controls plus row-level security.”

“JavaScript engineer and open-source contributor focused on runtime performance, reliability, and developer experience—refactored a widely used client-side API/state library to improve concurrent request handling, error consistency, and UI performance while adding tests and documentation. Also owned improvements to a core microservice at Velsa integrating multiple hospital systems, bringing structure to ambiguous priorities and delivering stability and performance gains from design through deployment.”

“Backend-leaning full-stack engineer from Valcom who maintained Django/PostgreSQL services for mass-notification/paging servers used by education/commercial/government customers. Notable for hardening authentication and reliability (JWT refresh + rotation tokens, WebSockets/EventStream) and for modernizing a legacy Ext.js/PHP stack into a React + Django architecture with strong CI/testing and production incident ownership.”

“Unity game developer who built a context-sensitive movement and camera system for a grid-based dungeon crawler and used DOTween for key gameplay animations. Worked at Chimera Entertainment on Songs of Silence, contributing via bug fixes, working within an existing Photon Fusion protocol, and implementing a UI-heavy in-game lexicon; also leverages AI tools (e.g., ChatGPT) to accelerate editor/tooling and gameplay scripting.”

“Accenture engineer who built real-time smart mobility products (Verra Mobility) used by both consumers and government agencies, spanning React/TypeScript frontends and Node.js/GraphQL microservices with Kafka. Demonstrated strong delivery and reliability practices (CI/CD, feature flags, automated testing, CloudWatch observability) and achieved a ~20% GraphQL performance improvement supporting 50,000+ daily transactions, plus built an internal ops/support dashboard adopted into daily workflows.”

“Backend-focused engineer with experience owning a production e-commerce platform end-to-end (TypeScript/Node/Express, React, MongoDB, Redis) including RBAC and contract-based API development. Also worked at Infosys on a large healthcare management system built with Spring Boot microservices, using Kafka for messaging/retries, circuit breakers for resilience, and OpenTelemetry/Swagger for observability and API documentation.”

“Full-stack engineer who built "Workstream AI," an AI-powered engineering visibility product that converts GitHub activity into real-time insights using an event-driven microservices stack (RabbitMQ/Postgres/Express) and GPT-4 with a React frontend. Previously a Founding SWE at a health & wellness startup, building data-driven user management tooling, and also delivered a real-time shuttle tracking/ride request system using Java Spring Boot/Hibernate + React; comfortable owning production deployment details (AWS EC2, DNS, SSL).”

“Full-stack engineer who built an end-to-end low-code/no-code IDE for creating AI/ML workflows for industrial IoT sensors using Next.js/TypeScript and NestJS microservices. Focused on scaling high-volume sensor dashboards—improved UX and performance via WebSockets, debouncing, pagination, and API payload reduction—validated with profiling tools and user feedback in a startup environment.”

“Frontend-focused engineer with enterprise Angular experience integrated with .NET APIs, emphasizing production-ready practices (reusable components, modular architecture, TypeScript standards, Jasmine unit tests, and CI/CD). Has not built Unreal Engine UI systems yet, but articulates how they would translate web UI modularity, separation of concerns, and testing/automation practices to Unreal/CommonUI workflows.”

Aakanksha Desai

Screened

Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps

Scottsdale, Arizona2y exp

“Backend/DevOps-leaning engineer managing multiple customer service platforms end-to-end (requirements through deployment). Built an in-house Python monitoring/alerting solution for Salesforce-to-Java contact sync jobs (Snowflake dependencies) that increased uptime ~60%, and helped modernize delivery by moving the team from manual releases to automated Jenkins-based deployments while coordinating an Oracle EBS→Fusion transition with business/data/IT stakeholders.”

Manasa Pippera

Screened

Senior .NET Full-Stack Developer specializing in cloud, IoT messaging, and real-time web apps

Franklin, TN6y exp

“Full-stack engineer who owns customer-facing web products end-to-end (React/TypeScript + Node.js), shipping frequent releases with strong testing, staged deploys, and production monitoring. Improved a key user flow by batching backend calls and simplifying frontend rendering, driving ~30% faster load times and ~30% higher completion rates. Also built an ops monitoring dashboard using ELK + Prometheus/Grafana that cut incident response time by 40% and has hands-on microservices messaging experience (RabbitMQ/Kafka, idempotency, DLQs).”

Prasad Krishna

Screened

Mid-level Full-Stack Developer specializing in healthcare analytics and microservices

Remote, USA4y exp

“Built and maintained an air-quality prediction backend in Python/Flask that serves offline-trained ML models to a React dashboard via JSON REST APIs. Demonstrates strong performance focus across the stack—low-latency inference under load, SQLAlchemy/Postgres query optimization, multi-tenant data isolation, and caching/background task strategies for high-throughput systems.”

Manvi Panjwani

Screened

Mid-level Machine Learning Engineer specializing in cloud, governance automation, and distributed systems

San Francisco, CA4y exp

“Governance engineer intern at GSK who built policy-as-code automation using Open Policy Agent/Rego integrated into GitHub CI/CD and Terraform workflows. Also built and shipped a voice-enabled expense tracking app using speech-to-text + LLM structured extraction with strong validation, retries, and semantic guardrails, and designed the supporting PostgreSQL data model with performance-focused indexing.”

Ranxin Li

Screened

Mid-Level AI/Full-Stack Engineer specializing in agentic LLM systems and RAG

San Jose, USA2y exp

“Built and deployed Clyra.AI, an AI-driven daily scheduling product that uses a LangGraph-based multi-agent LLM pipeline (task extraction, verification, reflection) grounded with strict RAG over emails/documents/calendars and real-world signals like health metrics. Designed a custom agent orchestrator with bounded loops/termination conditions and a self-auditing verification/reflection layer to reduce hallucinations while controlling latency and cost via caching and model distillation.”

makarand pundlik

Screened

Mid-Level Software Engineer specializing in AWS serverless and Node.js microservices

New York, NY2y exp

“Software intern at BestWork who owned an AI-powered sales performance chatbot end-to-end: React/Material UI frontend, TypeScript AWS Lambda backend, and AWS Bedrock (Llama 3) + OpenSearch knowledge base over Salesforce/HubSpot data with Slack-based weekly summaries. Worked directly with the CTO in a high-ambiguity environment, including building an audio bot from scratch just in time for a client demo, and implemented metadata-based retrieval to handle multi-team knowledge base constraints.”

Shravani Koona

Screened

Junior Full-Stack Software Engineer specializing in cloud-native microservices

United States3y exp

“Backend/data engineer with experience at Assurant and Capgemini, focused on reliability and performance at scale. Improved high-latency backend APIs by adding and iterating on a Redis caching layer driven by CloudWatch/monitoring metrics, and built scalable BI pipelines that normalize messy multi-source enterprise data with strong observability and error handling. Familiar with LLM/RAG architecture and practical guardrails, though has not yet shipped an LLM feature to production.”

“Commercially minded candidate with exposure to private equity firms as sales targets and experience building partnerships around venture-backed company ecosystems. They appear more inclined to join an existing company than found one, bringing a metrics-driven, process-oriented approach and creative execution style with a strong focus on clear growth paths and capital stability.”