Vetted FastAPI Professionals

Pre-screened and vetted.

Shilong Li - Intern Software Engineer specializing in backend and distributed systems in San Jose, CA

Shilong Li

Screened

Intern Software Engineer specializing in backend and distributed systems

San Jose, CA1y exp
ByteDanceUniversity of Illinois Urbana-Champaign

Backend engineer with experience at ByteDance (TikTok monetization) and Baidu, plus a personal real-time course booking/tracking platform built with FastAPI, Postgres, and Redis. Demonstrates strong concurrency and reliability engineering (Redis distributed locks with TTL extension, idempotent event processing) and practical DevOps skills (Kubernetes/Helm, GitLab CI/CD, Docker build-time optimization).

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Kunj Amrutbhai Patel - Mid-level Software Engineer specializing in distributed backend systems on AWS in Seattle, WA

Mid-level Software Engineer specializing in distributed backend systems on AWS

Seattle, WA4y exp
AmazonTrine University

Built production systems in the AWS ecosystem, including an internal AI assistant for diagnosing account transfer and permissions issues and an end-to-end account transfer workflow used by enterprise customers. Stands out for combining LLM/RAG design with strong distributed systems reliability practices, emphasizing guardrails, fallbacks, and operational trust in high-stakes workflows.

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KS

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

CA, USA4y exp
AnthropicCalifornia State University, Long Beach

ML/LLM engineer who built a production RAG system (GPT-4 + FAISS + FastAPI) to deliver fast, grounded answers from proprietary documents, optimizing for sub-200ms latency and high-concurrency scale. Strong MLOps/observability background: drift monitoring with Prometheus + Streamlit, automated retraining via Airflow, Kubernetes autoscaling, and MLflow-managed model lifecycle, plus inference cost reduction through quantization and structured pruning.

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MJ

Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems

Mesquite, TX11y exp
AmazonUniversity of Texas at Dallas

ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.

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SG

Sai Gundeti

Screened

Mid-Level Backend Software Engineer specializing in distributed systems and billing platforms

San Francisco, California5y exp
UberUniversity of Cincinnati

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.

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AH

Anna Huang

Screened

Mid-level Software Engineer specializing in backend distributed systems and cloud platforms

6y exp
IntelUC Santa Cruz

Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.

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AD

Amrit Depaulo

Screened

Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership

San Francisco, CA30y exp
Delos Insurance Solutions

CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.

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AA

Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices

NY, USA6y exp
Google DeepMindUniversity of Saint Francis
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Vinnie Yerramadha - Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps in San Francisco, CA

Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps

San Francisco, CA6y exp
ShopifyUniversity of North Texas
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Sai Sravanth Segu - Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs in Plano, TX

Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs

Plano, TX5y exp
MetaUniversity of Texas at Arlington
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Deepit Shah - Entry Software Engineer specializing in AI infrastructure and ML inference systems in Seattle, WA

Entry Software Engineer specializing in AI infrastructure and ML inference systems

Seattle, WA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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KR

Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems

Allen, TX4y exp
AnthropicUniversity of North Texas
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RK

Intern Software Engineer specializing in frontend dashboards and mobile apps

1y exp
BNY MellonCarnegie Mellon University
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Rahul Chilukuri - Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech in Tampa, FL

Mid-level Full-Stack Developer specializing in cloud-native microservices and FinTech

Tampa, FL5y exp
IBMSaint Leo University
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SR

Mid-level Machine Learning Engineer specializing in LLMs and RAG systems

San Francisco, CA5y exp
Scale AIUniversity of New Haven
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ZZ

Senior AI/ML Engineer specializing in Generative AI and NLP systems

McLean, VA9y exp
Capital OneUniversity of Pennsylvania
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ZZ

Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision

San Jose, CA2y exp
EZSVS USAUC Berkeley
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YL

Mid-Level Software Engineer specializing in AWS cloud-native distributed systems

Arlington, VA3y exp
AmazonNYU
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Pavankumar Pendela - Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems in Centerton, AR

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems

Centerton, AR6y exp
MetaUniversity of the Cumberlands
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Aarvin George - Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems in Pittsburgh, PA

Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems

Pittsburgh, PA3y exp
Allegheny General HospitalCarnegie Mellon University
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David Sim - Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms in Cliffside Park, NJ

Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms

Cliffside Park, NJ13y exp
Johnson ControlsTexas A&M University
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Mounika yalamarty - Senior Software Engineer specializing in AI/ML evaluation and full-stack systems in Remote

Senior Software Engineer specializing in AI/ML evaluation and full-stack systems

Remote8y exp
MicrosoftSanta Clara University
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