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Vetted FastAPI Professionals
Pre-screened and vetted.
Karthikeya Arra
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Backend/ML engineering candidate focused on fintech automation who architected a zero-to-one agentic/LLM-enabled system to reconcile messy financial documents and bank transactions, reporting ~40% operational efficiency gains. Experienced migrating monoliths to event-driven microservices with incremental rollout via reverse proxy, and implementing production-grade security (OAuth2/JWT, RBAC, Supabase RLS) plus resilience patterns (timeouts/retries under concurrency).”
Pavithran Gnanasekaran
Junior AI/ML Engineer specializing in RAG, LLM apps, and cloud-native data platforms
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Vinith Nagelly
Mid-level Full-Stack Developer specializing in Python/Django and React
“Backend engineer at Hexanika who owned a real-time fraud-detection platform: built Django microservices, integrated a GenAI anomaly-scoring model, and optimized data/infra for low-latency production (including ~40% query-latency reduction). Experienced running containerized services on AWS/GCP with Kubernetes/GKE, GitHub Actions-based CI/CD + GitOps, and building Pub/Sub streaming pipelines and on-prem-to-cloud migrations.”
Abhijeet Gajjar
Mid-level Mobile Software Engineer specializing in iOS, React Native, and AI-enabled backends
“Backend engineer who built and scaled a FastAPI-based backend for an AI-driven maintenance system automating vendor sourcing/bidding/communication. Emphasizes async, message-driven architecture with strong observability and state-machine-driven workflows, plus robust webhook/idempotency patterns to prevent duplicate/out-of-order events from causing bad bids or state changes.”
Maheswari Thokala
Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs
“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”
Senior Full-Stack Software Engineer specializing in Python microservices and cloud platforms
Senior Backend Engineer specializing in AI automation and scalable API systems
Junior Software Engineer specializing in Python automation and full-stack web development
Junior Full-Stack Engineer specializing in Next.js, Supabase, and AI-enabled products
Senior Backend Software Engineer specializing in scalable APIs and distributed systems
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Mid-level Full-Stack Engineer specializing in healthcare, mobile apps, and AI
Mid-Level Full-Stack Software Engineer specializing in cloud-native security & compliance platforms
Junior Frontend Software Engineer specializing in React, Next.js, and TypeScript
Mid-Level AI/Full-Stack Engineer specializing in conversational AI and SaaS products
Intern Full-Stack Software Engineer specializing in FinTech and web platforms
Mid-Level Software Engineer specializing in cloud microservices and backend systems
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-Level Backend Engineer specializing in scalable microservices and event-driven systems
Mid-Level Backend/API Engineer specializing in AWS and healthcare/first-responder systems
Mid-level Data Scientist specializing in computer vision and behavioral analytics