Vetted Agile Professionals

Moore Macauley

Screened

Intern Backend Developer specializing in AI, multi-agent systems, and computer vision

0y exp

“Backend-focused Python engineer who built core systems for an AI beauty-advice product: converting facial-recognition landmarks into usable facial measurements and dynamically shaping chatbot context for personalized guidance. Also worked on high-volume data ingestion at AINVESTgroup, improving agent context selection via a RAG database when upstream tags were unreliable, and has strong Git/GitOps + automated testing practices from rapid-deadline delivery environments.”

Jai Vilatkar

Screened

Junior AI/ML Developer specializing in GenAI, LLM agents, and RAG systems

Pune, India2y exp

“Built and shipped an agentic RAG chatbot module for NexaCLM to answer questions across large volumes of contracts while minimizing hallucinations and incorrect legal interpretations. Implemented routing between vector retrieval and ReAct-style agent retrieval plus an automated grading/validation layer (cosine-similarity thresholds, retries) and deployed via GitHub Actions to Azure Container Apps, partnering closely with legal stakeholders to define risk/clause-focused objectives.”

Anudeep Reddy Veerla

Screened

Mid-Level Software Engineer specializing in cloud-native microservices

Boston, MA3y exp

“Built and shipped both a solo real-time multiplayer Spades game (TypeScript monorepo with shared client/server engine) and a production internal LLM-powered document Q&A tool for a SaaS company. Demonstrates strong RAG pipeline design (Pinecone + embeddings + reranking), rigorous eval/regression practices, and pragmatic data ingestion/observability work across Confluence, Notion, and messy PDFs/OCR—backed by clear metric improvements (P@1 61%→78%, escalations 40%→22%).”

Lincoln Oh

Screened

Mid-level Full-Stack/MES Software Engineer specializing in manufacturing systems

Glendale, KY5y exp

“Software engineer with hands-on experience delivering production-floor applications in manufacturing environments: built a PDA-friendly web app integrated with Oracle PL/SQL and deployed it on-site in a live warehouse, then iterated via tight feedback loops. Also rebuilt a broken assembly QR label printing workflow as a WPF Windows desktop tool and rolled it out across factory processes with operator training; additionally built a TypeScript/Node/Express/MongoDB app deployed on AWS (EC2/S3).”

Sangat Shah

Screened

Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js

Los Angeles, CA5y exp

“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”

Mohammed Mudassir Hussain Shaikh

Screened

Entry-Level Full-Stack Software Engineer specializing in serverless AWS and AI applications

Tempe, AZ1y exp

“Built and deployed serverless AWS applications (Lambda/S3/RDS Proxy) including a NASA L’Space React + Python data analysis tool, focusing on performance for large datasets. Demonstrates strong cloud troubleshooting across compute and networking (CloudWatch-driven diagnosis, EC2 scaling, security group fixes) and a user-driven iteration loop that improved product usability with dynamic filtering and interactive UI.”

Srinivasan Gomadam Ramesh

Screened

Mid-level AI/Data Engineer specializing in agentic AI and data platforms

Redmond, WA7y exp

“AI/LLM engineer who built a production resume-parsing and candidate-matching platform at Quadrant Technologies, combining agentic LangChain workflows, VLM-based document template extraction (~85% accuracy), and a hybrid RAG backend for resume-to-JD search. Notably integrated automated LLM evals and metric-based CI/CD quality gates to catch silent prompt/model regressions, and led a 3-person team across frontend/backend/testing.”

“Project manager at Cognizant with hands-on experience leading cloud migration and infrastructure modernization initiatives through structured governance gates from planning to production rollout. Stands out for building disciplined review, comment-tracking, and change-control processes that reduced rework, recovered slipping workstreams, and improved delivery quality across cross-functional teams.”

Pranav Gaikwad

Screened

Senior Software Engineer specializing in cloud-native platforms and supply chain systems

Atlanta, GA8y exp

“Backend and platform engineering leader with deep supply chain and warehouse systems experience, including building a company-wide MDM platform across five ERP systems and supporting a 72-microservice warehouse execution environment. Particularly compelling for AI-forward logistics roles: currently pursuing an AI-focused PhD, has published supply chain AI research, and holds a utility patent for AI-driven predictive analysis.”

“Built and shipped AI products at Humanitarians AI, including a full-stack multi-agent platform that consolidated six faculty AI tools into one interface and achieved 100+ user adoption, 70% less workflow switching, and a 6x latency improvement. Also designed a grounded document parser using FAISS and structured LLM outputs that reduced hallucinations by 60%, showing strong depth in both product-minded engineering and production AI systems.”

“Full-stack engineer with hands-on ownership of a production AI knowledge assistant used by 10,000+ daily users. Combines React/Next.js frontend work with FastAPI, AWS serverless, and RAG architecture using GPT-4, LangChain, and Pinecone, with measurable impact on relevance, latency, uptime, and support deflection.”

Danny Gainer

Screened

Executive product leader specializing in AI-powered B2B SaaS

American Fork, UT9y exp

“Product leader in sales tech who has served as both the first product hire and Head/Director of Product, with hands-on experience building AI-native workflow products. Most notably, they led an AI sales coaching product that analyzed calls and delivered personalized coaching, driving a 7% lift in revenue per rep per day, and also redesigned rep workflows to cut disposition time by 75%. Their differentiator is a strong human-centered AI philosophy focused on changing behavior and building trust, not just automating tasks.”

Irina Morris

Screened

Senior Full-Stack Engineer specializing in scalable web platforms and cloud migrations

Remote11y exp

“Full-stack architect/engineer with startup and Meta experience who built a real-time school safety and lockdown coordination platform used by schools and emergency organizations. Particularly compelling for roles requiring ownership in ambiguous environments, real-time systems design, and configurable B2B SaaS platforms in high-stakes domains.”

“Full-stack/AI engineer with very recent startup experience building creator and CRM AI platforms. They combine React/TypeScript frontend work with Python-based LangChain/LangGraph AI workflows and Go microservices, and have practical experience hardening third-party integrations through abstraction layers, versioning, monitoring, and alerts.”

Ethan Ligi

Screened

Junior Full-Stack Software Engineer specializing in web and cloud applications

Prospect, CT2y exp

“Frontend developer who described building a security-conscious admin dashboard login and event management interface using React, TypeScript, Astro Islands, Tailwind, and an AWS serverless stack. Notable for combining SEO-friendly frontend architecture with budget-aware infrastructure choices for a small-usage business application.”

“Backend/data engineer focused on AWS-based, low-latency event processing for market data and social-signal sentiment systems. Has led a monolith-to-event-driven migration with feature-flagged incremental rollout, and emphasizes production-grade security (OAuth2/JWT, secrets management, Supabase RLS) and data integrity (deduplication/idempotency) under high-volume spike conditions.”

“Backend/data engineer with aerospace telemetry and reporting experience across RTX and other orgs, spanning Python/FastAPI microservices, AWS serverless/containers, and AWS Glue-to-Redshift analytics pipelines. Has led legacy modernization with parallel-run parity validation and incremental rollout, and demonstrates strong operational ownership (monitoring, incident response, and cost optimization).”

“Unity gameplay engineer with hands-on experience building deterministic state/input systems that improve responsiveness and frame stability, validated through profiling and playtests. Also implemented multiplayer gameplay using Photon Fusion/PUN, addressing latency and input feel via local simulation plus reconciliation, and uses AI tools to accelerate debugging and iteration.”

“Software engineer (Alpine Bank) focused on modernizing high-traffic customer-facing systems with React/TypeScript frontends and Spring Boot microservices. Has hands-on experience stabilizing and scaling event-driven architectures with Kafka (idempotent consumers, partitioning, retry queues) and building internal observability dashboards that materially sped up post-deployment verification and improved release confidence.”

“Full-stack intern at Rebel who owned backend work on a cross-platform music platform using Python/Django with MongoDB, implementing user-focused REST APIs end-to-end. Also built CI/CD pipelines (Jenkins/GitHub Actions) to containerize and deploy to AWS, and has experience integrating Kafka-based real-time event processing with reliability and observability practices.”

“Healthcare-focused ML/LLM engineer who built a production hybrid RAG workflow to automate prior authorization by retrieving from medical guidelines/historical cases (FAISS) and generating grounded rationales for clinicians. Strong in operationalizing ML with Airflow/Kubeflow/MLflow on SageMaker, optimizing latency (ONNX/quantization/async), and reducing hallucinations via evidence-only prompting; also partnered closely with clinical ops to deploy a readmission prediction tool used in daily rounds.”

“AIX/IBM Power Systems engineer with hands-on production performance troubleshooting (NMON) and operational administration across VIOS/HMC/LPAR/DLPAR. Has implemented enterprise patching and security remediation using NIM (e.g., OpenSSH vulnerability) and built automation to generate and curate weekly AIX images for the NIM environment.”

“Built a production lead-generation system using AI agents that researches the internet for relevant leads and integrates RAG-based contact enrichment/shortlisting aligned to existing CRM data, enabling sales reps to focus more on selling. Also has hands-on AWS data orchestration experience (Glue, Step Functions) moving raw data into Redshift and evaluates agent performance with human-in-the-loop plus BLEU/perplexity metrics.”

“QA automation engineer with hands-on ownership of both UI and API test automation, including building an API test module from scratch to validate all Swagger-exposed endpoints with positive/negative coverage and pairwise optimization. Experienced stabilizing flaky Cypress tests through improved selectors (data-cy) and API-call synchronization, and integrating tiered test suites into GitLab CI with merge/release gates plus JUnit/HTML reporting and Slack notifications.”