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Vetted Keras Professionals
Pre-screened and vetted.
Shardul Jeurkar
Intern Applied AI/Software Engineer specializing in computer vision and full-stack platforms
“Built production LLM systems focused on reliability and safety, including a plain-English deployment tool that generates validated plans and provisions to Kubernetes while preventing unsafe actions via schema enforcement and plan/execute separation. Also created multi-LLM workflows (LangGraph) and stakeholder-friendly demos at Bosch, including a PyQt/FastAPI/CUDA app comparing SAM2 vs SAMWISE for on-device object detection with intuitive UX for business users.”
Holland Blumer
Mid-level Full-Stack Developer specializing in interactive web apps and AWS
“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.”
“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).”
Samuel Prabhakar Vara
Mid-level AI Engineer specializing in machine learning and healthcare research
“Backend engineer with end-to-end ownership of scientific and AI-powered systems, including neuron imaging pipelines at Monell Chemical Senses Center and an LLM-based structured information extraction platform for Wharton and PSG. Stands out for turning messy, compute-heavy workflows into reliable production backends with measurable impact, including saving researchers over 50 hours per week.”
Principal Systems Engineer specializing in ML, computer vision, and intelligent sensing
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Senior AI/ML Software Engineer specializing in LLM and RAG systems
Mid-level Machine Learning Engineer specializing in LLM inference and MLOps
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Staff Software Engineer specializing in frontend platforms and healthcare UX
Engineering Manager specializing in AI/ML, cloud services, and microservices
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Data Scientist specializing in GenAI, NLP, and deep learning
Junior AI Engineer specializing in LLM agents and RAG for energy operations
Mid-Level Software Development Engineer specializing in AWS serverless, security, and ML platforms
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Mid-level AI/ML Engineer specializing in GenAI, LLMs, and RAG pipelines