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Vetted REST API Professionals
Pre-screened and vetted.
Mike Henniger
Staff Software Engineer specializing in scalable backend and full-stack web systems
“Frontend-leaning full-stack product engineer with IMVU experience who designed both user-facing flows and the production telemetry behind them. Most notably, they built a JavaScript crash detection system using signature-based aggregation and Redis that helped reduce crash volume from millions per day to tens of thousands, and they pair that reliability mindset with reusable UI architecture and onboarding design for consumer social products.”
Akshat Shah
Entry-level Software Engineer specializing in full-stack and AI systems
“Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.”
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”
Rashi Agrawal
Mid-Level Full-Stack Software Engineer specializing in distributed systems and cloud-native microservices
“Backend engineer (4 years) who built an end-to-end Python backend for a patent-pending in-car massager/heater system, including GraphQL data modeling and Bluetooth integration with an ESP32 microcontroller (reverse engineered a niche protocol). Also has strong platform experience: on-prem Kubernetes/CI-CD (Jenkins/GitLab, exploring ArgoCD GitOps), Terraform-based infra workflows, a RabbitMQ messaging library used across microservices, and an on-prem migration of ~30 critical applications with rollback/parallel-run strategy.”
Yuan-Hsuan Wen
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”
Edmund Chan
Mid-level Frontend Engineer specializing in web platforms and internationalization
“Frontend engineer with significant ownership of Bloomberg's Japanese regional platform, building a complex multi-app Next.js experience for retail investors and financial professionals. Stands out for combining high-scale localization architecture, advanced TypeScript/component-system design, and measurable UX performance wins in demanding financial products.”
“Full-stack engineer at Vanguard who architected and shipped a production AI onboarding chatbot using React, Python, LangChain, RAG, and AWS Bedrock, reaching 50,000+ prospects in two months and reducing drop-off by 26%. Particularly compelling for teams building regulated AI products: they combine hands-on full-stack delivery with guardrails, observability, and experimentation, and also build consumer AI products on the side in endurance coaching.”
Shailaja Domala
Executive product and AI leader specializing in data platforms and analytics
“Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.”
Kenil Tanna
Staff-level Machine Learning Engineer specializing in LLMs and MLOps for Financial Services
“Machine learning/NLP practitioner at J.P. Morgan who led development of a production RAG system and an entity resolution pipeline for complex financial data. Deep hands-on experience with embeddings (Sentence-BERT), vector search (FAISS/pgvector), LLM fine-tuning (LoRA/PEFT), and rigorous evaluation (human-in-the-loop + A/B testing) backed by strong MLOps on AWS (Docker/Kubernetes, MLflow, Prometheus/Datadog).”
Sahil Sinha
Mid-Level Software Engineer specializing in full-stack development, cloud, and data infrastructure
“Software engineer at Fannie Mae (~3 years) working on high-volume loan data pipelines using AWS (SQS/S3), Java listeners, Postgres, and Python/SQL-based data quality validation. Also built a chess data collection system (leveraging experience as an International Master) with robust retry/monitoring, schema-change handling, and idempotent backfills to prevent bad data from reaching downstream systems.”
Geetika Jain
Mid-Level Software Engineer specializing in Azure AI and full-stack development
“Hands-on AI/LLM engineer who built a RAG-based product feature end-to-end, including prompt engineering, safety guardrails, and an automated adversarial + load-testing harness. Diagnosed real production issues (null responses) via Azure logs/metrics and drove an architectural fix by separating model deployments to address token/quota limits. Also runs internal developer enablement through short theory-to-hands-on AI workshops after completing a Microsoft AI certification.”
Joseph Fusco
Senior Software Engineer specializing in AI-powered developer tooling and backend platforms
“Backend/product engineer from Postman Flows who has owned complex platform features end-to-end, including production versioning and an LLM-powered flow-building orchestration layer. Stands out for combining product-minded backend design, agentic AI workflow implementation, and strong production reliability work, including re-architecting a failing event pipeline from in-memory to managed queues.”
Nikhil Reddy
Mid-level AI/ML Engineer specializing in GPU inference and LLM platforms
“Built and deployed an LLM-powered platform that turns models into scalable REST/gRPC APIs, focusing on keeping GPU-backed inference fast and stable during traffic spikes. Experienced with AWS orchestration (EKS/ECS/Step Functions), safe model rollouts, and production-grade monitoring/testing for reliable AI agents and workflows.”
Christian Alcala
Mid-level Software Engineer specializing in LLM-powered analytics
“Engineer with a pragmatic, production-focused approach to AI development, emphasizing verification, observability, and system design over hype. Built LLM-driven features and automated regression/validation pipelines, including quality measurement work at Oracle, and uses hands-on projects to test how AI fits into real business workflows.”
Ziwen Shen
Junior AI/ML Engineer specializing in machine learning and applied research
“Machine learning/AI engineer focused on agentic product experiences, including a parts-finding assistant and other AI-driven tools. Has worked on reinforcement learning projects, agent state management, and making AI understandable for non-technical users through visuals and simplified explanations.”
Dinesh Mishra
Executive AI Product Leader specializing in FinTech and agentic AI platforms
“Fintech/neobank CTO (5+ years across US and UK markets) now building Payzo Money, a fintech copilot for SMBs covering expenses, accounting, invoicing, and payroll. Pre-revenue and seeking a $5M seed round, with active Bay Area conversations and a clear focus on bank sponsorship plus compliance/operations readiness; leverages Claude-based AI agents to accelerate building with limited resources.”
Dexin Huang
Junior AI Engineer specializing in LLM systems, RAG, and full-stack automation
“Built and deployed an AI receptionist product for field-service businesses (HVAC/electrician), including real-time Jobber scheduling integrations and Twilio-based calling. Combines hands-on customer/operator shadowing with strong production engineering (queueing to handle API limits, rigorous testing/mocking, mirrored prod environment) and cross-layer troubleshooting, driving user adoption through review/override workflows.”
Amrita Pritam
Senior Backend Engineer specializing in distributed microservices and event-driven systems
“Backend engineer with production experience building a high-scale notification pipeline (~20M/day) using Java/Dropwizard with Kafka and Azure Queue, including DLQ/poison-message handling and the outbox pattern for reliability. Also led a batch-based migration of Yammer Messaging user data from PostgreSQL to Azure Cosmos DB for global multi-region scale, addressing throttling and network failures via retries, escalation policies, and dynamic throughput tuning.”
Pranav Hariharane
Mid-Level Backend Engineer specializing in REST APIs and AWS
“Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.”
Kartheek Pathuri
Staff Software Engineer specializing in frontend and full-stack platforms
“Frontend/UI engineer with strong ownership of complex browser applications, including leading SentinelOne's in-app notification center from conference prototype to production. Brings deep React/TypeScript and browser performance expertise, plus a track record of integrating heterogeneous backend services and improving UX for demanding technical users.”
Sai Gundeti
Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms
“Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.”
Aniket Singhal
Senior Software Engineer specializing in AWS-based distributed systems and FinTech platforms
“Backend engineer with Amazon experience building large-scale, automated financial/accounting and pricing systems on AWS. Designed a fault-tolerant Step Functions + DynamoDB workflow platform handling 100K+ messages/sec to compute fair values and generate journal entries in under 3 seconds, and led safe API refactors using shadow mismatch testing. Also uncovered a major legacy pricing bug (tax vs non-tax swap) that cut mismatch rates from 5–10% to ~0.5% and materially improved price acceptance/business outcomes.”
Danny Niedzwiedzki
Mid-level Frontend Software Engineer specializing in accessible React and Next.js applications
“Frontend engineer with 8+ years of React experience who owned a sophisticated enterprise chatbot embedded in third-party client sites at massive scale. Stands out for combining deep browser/iframe architecture knowledge, accessibility leadership, performance optimization, and security-driven Next.js migration work in a multi-tenant product used by large enterprises.”
Mid-level Software Development Engineer specializing in cloud platforms, data engineering, and LLM apps