.png){kind=logo}
Vetted PyTorch Professionals
Pre-screened and vetted.
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-level Java Full-Stack Developer specializing in cloud microservices and AI/ML integration
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Intern Software Engineer specializing in cloud infrastructure, DevOps, and AI-enabled systems
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Mid-level Software Engineer specializing in Python automation and GenAI on AWS
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Junior Full-Stack Developer specializing in AI integrations and LLM research
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-Level Full-Stack Software Engineer specializing in AI automation and RAG agents
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Junior Software/AI Engineer specializing in LLM agents and RAG systems
Jaiden Kettleson
Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps
“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”
Entry-Level Software Engineer specializing in full-stack web development and cybersecurity
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”