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Vetted LoRA Professionals
Pre-screened and vetted.
Krishna K
Junior Machine Learning Engineer specializing in multimodal systems and LLMs
“Built and productionized a domain-specific LLM-powered RAG knowledge assistant at JerseyStem for answering questions over large internal document corpora, owning the full stack from FAISS retrieval and LoRA/QLoRA fine-tuning to AWS autoscaling GPU deployment. Drove measurable gains (28% accuracy lift, 25% latency reduction) and improved reliability through hybrid retrieval, grounded decoding, preference-model reranking, and Airflow-orchestrated pipelines (35% faster runtime), while partnering closely with non-technical stakeholders to define success metrics and ensure adoption.”
Aneri Patel
Junior Machine Learning Engineer specializing in LLM fine-tuning and semantic retrieval
“Backend engineer with legal-tech and AI workflow experience: built JurisAI, an end-to-end legal research system using OCR + embeddings + Pinecone vector search to deliver citation-grounded LLM answers with safe failure modes (~90% recall@K). Also led a GW Law metadata migration into Caspio with batch validation and parallel rollout, and has strong FastAPI/GCP production reliability and observability practices.”
Tamanna Nandlal Choithani
Entry-level Full-Stack Engineer specializing in AI and distributed systems
“Full-stack engineer who built an AI-based inventory/procurement query system at Botlily/Botlerly using Flask and Google Sheets as a live knowledge base, overcoming Sheets latency with caching and structured in-memory models. Demonstrated strong LLM product engineering (40% accuracy improvement via preprocessing/prompting) and customer-driven iteration with bar/restaurant owners, evolving the tool into a more comprehensive inventory management and forecasting solution.”
Mid-level Software Engineer specializing in AI/ML and Data Engineering
Mid-Level Software/ML Engineer specializing in NLP, OCR, and fraud detection in FinTech
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and LLM retrieval systems
Mid-level Machine Learning Engineer specializing in LLMs and multilingual NLP
Entry-level AI Engineer specializing in NLP, RAG, and backend systems
Mid-level Software Engineer specializing in AI/ML and distributed systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Full-Stack & LLM Application Developer specializing in agentic RAG systems
Junior ML Engineer specializing in NLP, LLMs, and agentic AI systems
Mid-level Software Engineer specializing in cloud networking and AI automation
Mid-level AI/ML Engineer specializing in MLOps, NLP, and multimodal healthcare AI
Intern/Junior Software Engineer specializing in QA automation, web development, and machine learning
Senior Machine Learning Engineer specializing in LLMs, RAG, and agentic AI systems
Mid-level AI Engineer specializing in LLMs, RAG pipelines, and multimodal automation