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Mohsin S.
Automation & AI Workflows
AI Engineer with 5+ years building production LLM, agentic and cloud systems. I take agents and RAG past the demo stage with evals, tracing and CI gates. Recent work: a triage agent resolving 60-85% of requests end to end, and RAG hit rate lifted from 18% to 87%. Stack: LangGraph, Temporal, FastAPI, Qdrant, Langfuse, AWS.
Dhruv G.
AI & Machine Learning Engineers
I am a Computer Science Engineering student at Chitkara University with hands-on experience in AI engineering, robotics video annotation, data annotation, and AI model evaluation. I have worked on developing AI-powered applications using Retrieval-Augmented Generation (RAG), LangGraph, LLM APIs, and structured data workflows. My experience includes annotating robotics and human-object interaction videos, creating precise frame-level captions, evaluating AI-generated outputs, identifying inconsistencies, and maintaining high annotation quality. I have also contributed to AI benchmarking, adversarial prompt evaluation, and machine learning projects involving fraud detection and image colorization. My technical skill set includes Python, Java, JavaScript, SQL, Machine Learning, NLP, PyTorch, TensorFlow, and Git. I bring strong attention to detail, analytical thinking, consistency, and the ability to follow complex technical guidelines. I am interested in contributing to challenging AI training, robotics, data quality, and model evaluation projects through remote freelance, part-time, or contract opportunities.
Ankit K.
NLP & Prompt Engineering
AI Architect and full-stack AI engineer with 10 years in software , now building production agentic systems. I design and ship multi-agent platforms end to end: LangGraph and Google ADK orchestration, RAG, human-in-the-loop, guardrails and observability, FastAPI backends and React frontends, on Google Cloud (Vertex AI, Cloud Run) and Azure AI Foundry. Recent work: - Sales QBR platform: Synthesis, Content and Analysis agents on Gemini/Vertex AI answer sales managers' questions, auto-generate executive QBR slides and email them to leadership on a schedule - Intelligent Regulatory Platform (IRP): leading React architecture and GenAI features on Azure AI Foundry for a life-sciences regulatory system handling 500K+ submissions a year - Insurance claims AI: LangGraph agents for verification, fraud detection and escalation; automated 60% of manual checks and cut processing from 4 hours to 45 minutes, with 92% precision in UAT I take agents from demo to production: architecture, evaluation, security and cost control. Based in India (IST), flexible overlap with US and EU hours.
Habiba S.
AI & Machine Learning Engineers
AI Engineer specializing in LLM applications, RAG systems, AI agents, and Machine Learning. Experienced in Python, PyTorch, Transformers, and AI development workflows, with additional skills in data preprocessing, dataset preparation, AI model evaluation, and data annotation.
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