.png){kind=logo}
Vetted spaCy Professionals
Pre-screened and vetted.
Junior Frontend Software Engineer specializing in React, Next.js, and TypeScript
Mid-level AI/ML Engineer specializing in LLM-powered RAG systems and MLOps
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP/RAG
Intern Full-Stack Software Engineer specializing in AI and microservices
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”
Aditya Reddy Gunda
Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines
“AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.”
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Intern AI/ML Software Engineer specializing in NLP and model serving
Senior Machine Learning Engineer specializing in NLP and production ML systems
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Manas Kumar Sherla
Junior Machine Learning Engineer specializing in NLP and LLM-based clinical AI
“Built a production automated resume matching system using Python, FAISS vector search, and Selenium-based job scraping, including mitigation for IP blocking and heterogeneous site structures. Also develops LLM/RAG applications with LangChain, using Pydantic-guardrailed structured outputs and LLM-as-a-judge evaluation (including a project focused on tone/semantics for a 3D avatar’s emotional responses).”
richi ibnu wardana
“Built an automated ML/NLP document classification system for unstructured legal documents, combining classical models (TF-IDF + logistic regression/random forest) with entity resolution via fuzzy matching validated by precision/recall. Also implemented semantic similarity search using sentence embeddings stored in FAISS and improved matching by fine-tuning a transformer on domain-specific data and tuning similarity thresholds for fewer false positives.”