Vetted R Professionals

Pre-screened and vetted.

Muhan Zhang - Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG in Palo Alto, USA

Muhan Zhang

Screened

Junior AI Software Engineer specializing in LLM pipelines, OCR, and RAG

Palo Alto, USA2y exp
Platflow.AICornell University

Built and shipped a production LLM pipeline for nursing home Medicare reimbursement (PDF OCR + fact extraction + keyword RAG + QA) that reportedly increased payouts by ~$1K/month per patient. Strong in LLM ops/benchmarking (ground truth, LLM-as-judge, cost/I-O tracking) and pragmatic optimization—swapped retrieval approaches, fine-tuned a small model to cut OCR cost 90%, and migrated workloads to Azure/Temporal to scale nightly processing 10x.

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Meredith Ma - Entry-level AI/ML Software Engineer specializing in generative AI and computer vision in Pittsburgh, PA

Meredith Ma

Screened

Entry-level AI/ML Software Engineer specializing in generative AI and computer vision

Pittsburgh, PA2y exp
Magna InternationalCarnegie Mellon University

Built and owned a production RAG coding assistant at Magna International used by 200 engineers, with hands-on work across React/TypeScript, retrieval infrastructure, and Postgres observability. Also brings an unusual blend of product UX thinking from AR game onboarding work, showing strength in both technical systems reliability and user activation.

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DN

Director-level revenue strategy leader specializing in payments and FinTech

Washington, DC10y exp
FISUniversity of Chicago

Started in quantitative economic consulting at Cornerstone Research, then moved into early-stage investing at Euclidean, the family office of Jim Simons, before earning an MBA at Booth to pivot into operating roles. Now leads revenue strategy and operations work at FIS across international banking/payments and North America payments, with experience owning high-visibility initiatives like compensation redesign tied to recurring revenue growth.

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AO

Aaron Oliver

Screened

Junior strategy and operations professional specializing in analytics and growth

Chicago, IL4y exp
FlyIfyStanford University

Operations and growth-oriented leader who helped build McMaster-Carr's first international sales/export function, then evolved the role into UK market growth and digital marketing. Combines cross-border operational expertise with hands-on customer experience analysis, team management, and UI/UX-driven process improvement.

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Shivam Gupta - Mid-level Software Engineer specializing in distributed systems, AI, and FinTech in USA

Shivam Gupta

Screened

Mid-level Software Engineer specializing in distributed systems, AI, and FinTech

USA5y exp
AmazonUniversity of Florida

Full-stack engineer with experience at AWS and Barclays, spanning large-scale cloud infrastructure, customer-facing product development, and production GenAI systems. Stands out for owning systems end-to-end—from backend architecture and frontend UX to AI reliability and cost optimization—with measurable impact including 25% fewer support tickets, 10% subscription growth, and debugging time reduced from 30 minutes to 5 minutes.

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SS

Mid-level Software Engineer specializing in AR/VR accessibility

Cupertino, CA4y exp
AppleUniversity of Rochester

Spatial computing software engineer focused on making Apple Vision Pro/visionOS accessible, including building VoiceOver and Live Captions features. Debugged a complex Live Captions issue involving dual audio inputs during FaceTime screen sharing by leveraging iOS implementation docs and creating concurrent audio sources; also has safety-critical testing experience from train control systems and is interested in pivoting into robotics.

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ZZ

Entry-level Financial Data Analyst specializing in analytics and compliance reporting

Miami, FL1y exp
MaximusUniversity of Miami

Current financial data analyst at Maximus with hands-on experience building SQL and Python reporting pipelines for expenditure, refund, and retention analysis. Stands out for turning messy multi-source financial data into trusted dashboards, automating reporting to save 15+ hours weekly, and driving measurable reductions in refund rates through cohort-based analysis.

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Ranjani Salla - Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT in USA

Ranjani Salla

Screened

Mid-level AI/ML Engineer specializing in LLMs, FinTech, and Healthcare IT

USA5y exp
StripeClark University

Built production GenAI systems in both healthcare and financial services, including a Verily clinical platform and an Accenture financial Q&A product. Stands out for combining advanced RAG, fine-tuning, safety evaluation, and infrastructure engineering to deliver measurable gains in engagement, groundedness, hallucination reduction, and cost efficiency.

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CK

Senior Software Engineer specializing in Python, cloud platforms, and distributed systems

Nashville, TN13y exp
i3 VerticalsUniversity of Chicago

Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.

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HB

Mid-level Full-Stack Developer specializing in interactive web apps and AWS

Brooklyn, NY4y exp
ChargePointDartmouth College

Full-stack, design-minded developer who builds interactive, motion-forward experiences and translates complex creative coding (Three.js/p5.js/GLSL) into accessible UI for non-technical clients. Delivered an end-to-end manufacturing quality control image system for ChargePoint (React dashboard + AWS) and has hands-on field research experience from Hyundai EV user interviews; currently leading development of a virtual gallery for Creative Coding NYC.

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BL

Brian Li

Screened

Intern Software Engineer specializing in ML and computer vision

Sunnyvale, CA1y exp
AmazonUC Davis

Machine learning software engineer intern experience at Amazon, where they built a production testing framework to inject frames/videos onto devices to measure embedded CV model inference and ensure broad model compatibility via automatic NNA metadata handling. Also built side projects spanning LLM/RAG orchestration (LangChain/LangGraph with reranking and citations) and applied CV/healthcare work (nail disease detection, medical retrieval chatbot).

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Swarnabha Roy - Mid-level Robotics & Computer Vision Engineer specializing in autonomous systems and edge AI in College Station, TX

Swarnabha Roy

Screened

Mid-level Robotics & Computer Vision Engineer specializing in autonomous systems and edge AI

College Station, TX6y exp
Mitsubishi Electric Research LaboratoriesTexas A&M University

Robotics/perception researcher (MVOS Lab, South Dakota State University) who built an end-to-end multimodal RGB-D + LiDAR pipeline for autonomous greenhouse harvesting and 3D plant phenotyping. Demonstrated strong production ownership by diagnosing motion blur with ROS-bag + OpenCV metrics and shipping an edge-deployed, scan-quality-aware workflow that boosted barcode read rate to 98% and supported ~70% autonomous pepper detection/harvesting accuracy.

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MT

Entry-level Account Development Representative specializing in FinOps SaaS

Boston, MA1y exp
CloudZeroVillanova University

Enterprise-focused SDR candidate with experience prospecting into some of the largest companies in the world using multi-channel outbound, personalized trigger-based messaging, and multithreaded stakeholder outreach. They report never missing quota, worked toward quarterly goals of 20 meetings and $1M in pipeline, and are especially motivated by founding SDR environments where they can help build the pipeline engine from scratch.

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Tony Zhang - Principal Systems Engineer specializing in ML, computer vision, and intelligent sensing in Ann Arbor, MI

Principal Systems Engineer specializing in ML, computer vision, and intelligent sensing

Ann Arbor, MI4y exp
University of MichiganUniversity of Michigan
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Anirudh Kunduru - Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference in CA, USA

Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference

CA, USA5y exp
NetflixUniversity of Central Missouri
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Eric Yang - Junior Software Engineer specializing in full-stack and AI/ML systems in Berkeley, CA

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

Berkeley, CA1y exp
RescueSightUC Berkeley
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TH

Entry-Level Software Engineer specializing in cloud infrastructure and full-stack development

Seattle, WA1y exp
OracleVanderbilt University
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NP

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

NJ, USA5y exp
WaymoWebster University
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Rohit Roy - Mid-level trader and product manager specializing in event-driven investing in New York, NY

Mid-level trader and product manager specializing in event-driven investing

New York, NY9y exp
Apex Capital HoldingsFordham University
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SC

Junior Software Engineer specializing in AI/ML and AWS

San Luis Obispo, CA3y exp
AmazonCal Poly San Luis Obispo
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ES

Junior Data Infrastructure Software Engineer specializing in analytics pipelines

San Jose, CA1y exp
Western DigitalColumbia University
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Satyam Mehta - Intern Product & Analytics professional specializing in SaaS, LegalTech, and Healthcare IT in San Francisco, CA

Intern Product & Analytics professional specializing in SaaS, LegalTech, and Healthcare IT

San Francisco, CA1y exp
Rocket LawyerUC Berkeley
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