Vetted Natural Language Processing Professionals

“Engineer focused on AI-assisted software development and enterprise legacy modernization, with hands-on experience designing multi-agent workflows for code analysis, business logic extraction, BRD generation, and validation. Stands out for combining prompt design and agent orchestration with strong engineering discipline, including testing, CI/CD, and human review checkpoints.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

Arya Thorat

Screened

Mid-level Software Engineer specializing in cloud-native distributed systems

Texas, USA5y exp

“Full-stack/backend engineer with deep experience building real-time fraud and credit-risk systems. Shipped an event-driven fraud monitoring platform (Kafka→MongoDB/Redis→WebSockets) delivering sub-200ms updates to 3000+ concurrent internal users, and built a Java/Spring Boot credit risk decisioning API that improved turnaround time by 30–40%. Strong AWS production operations (ECS Fargate/RDS/Redis) with proven incident response and performance tuning.”

“Graduate student who has built both full-stack web products and an offline Android AI assistant for visually impaired users. Particularly interesting for roles spanning product engineering and applied AI, with hands-on experience in on-device ML, privacy-sensitive deployment, and making complex AI interactions usable for non-technical users.”

Alfred Nguyen

Screened

Entry-level Full-Stack Developer specializing in web and mobile apps

Santa Cruz, CA1y exp

“Full-stack developer who has built multiple end-to-end products including a flight search platform, an AI-powered personal finance app, and a React Native workout app. Particularly interesting for teams needing someone who can combine modern React/Next.js frontend work with backend APIs, AI integrations, and pragmatic performance optimization in production-style projects.”

Kuwarpreet Singh

Screened

Junior ML and Full-Stack Engineer specializing in AI/ML applications

Buffalo, NY3y exp

“Master's-trained candidate with an AI/ML specialization who combines hands-on machine learning project work with practical AI-assisted software development. They actively use Claude, ChatGPT, and Claude Code for debugging, API integration, multi-file refactoring, and end-to-end feature scaffolding, while emphasizing validation against official docs before shipping.”

“Former founder with a successful exit who has since built multiple zero-to-one enterprise platforms across IoT, NLP, and healthcare AI, each cited as generating $1B+ in revenue. Also a Stanford and Alchemist Accelerator mentor, known for using ethnographic research to find product-market fit and for selling multi-million-dollar MVP business cases to C-level executives.”

“Serial healthcare entrepreneur who has founded three ventures across nuclear pharmacy and radiology/imaging, including building a nuclear pharmacy in a 500-mile underserved region and personally managing NRC regulatory compliance. Also built an early virtual radiology practice with remote radiologists and SaaS-only infrastructure, using a highly metrics-driven approach to opportunity assessment and capital formation via strategic partnerships.”