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Palak Mori

Palak Mori

AI Engineer - Agentic Systems, RAG Pipelines, Full-Stack Developer

Talent
AhmedabadMember since July 8, 2026
LangChainLangGraphPrompt EngineeringFine-TuningNLPRAG PipelinesOpenAIMachine LearningQdrantPineconeSQLMySQLAWS S3DockerKubernetesFastAPIPythonJavaScriptPHPPower BI
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LangChainLangGraphPrompt EngineeringFine-TuningNLP

About

Results-driven AI Engineer with 1+ year of production experience architecting LLM-powered systems, agentic AI workflows, and RAG pipelines.

Proven delivery: 35% accuracy lift on ML models, 40% latency reduction on live APIs, and 90% manual-effort cut via LLM automation.

Skilled across the full AI lifecycle: data engineering, fine-tuning LLMs, prompt engineering, vector database design (Qdrant, Pinecone), and containerized deployment (Docker, Kubernetes).

Experience

AI/ML Engineer Intern at Rapidops (2026-01 – Present)

  • Built an Agentic RAG platform (AgroSight) using LangChain, LangGraph, Qdrant, FastAPI, and Docker, ingesting 50K+ agricultural documents to deliver AI-powered crop advisory with 92% answer relevance.
  • Developed autonomous LangGraph agents to fetch, process, embed, and continuously update new agricultural research, eliminating manual knowledge-base maintenance.
  • Designed and deployed scalable FastAPI services supporting 200+ daily queries with sub-300 ms median response time.
  • Developed MedTranscribe, an AI-powered medical transcription system using OpenAI Whisper and Medical NLP for speech-to-text conversion, terminology correction, and human-in-the-loop clinical QA. Built REST APIs and optimized AI pipelines for production-ready deployment, improving automation, accuracy, and end-user experience.

Full-Stack Engineer at Sopan Digital Solution (2024-11 – 2026-01)

  • Engineered an end-to-end insurance premium predictor (Random Forest with ensemble tuning) with automated ETL pipelines, achieving a 35% uplift in prediction accuracy and 28% reduction in MSE versus baseline.
  • Deployed production-grade Flask REST APIs serving 100+ daily real-time quote requests with graceful error handling. Built Power BI dashboards tracking model drift, KPI trends, and retraining alerts, giving stakeholders real-time observability into ML system health.

Front-End Developer at Techinfoplace Softwares Pvt. Ltd. (2023-03 – 2023-09)

  • Delivered responsive web applications with UX and performance optimizations that improved user retention by 30% within 3 months. Implemented SEO and accessibility improvements that drove a 25% increase in organic traffic.

Education

Master of Computer Applications in MCA – Parul University (2023-08 – 2025-06)

Bachelor of Science (Hons) – SDAU (2018-07 – 2022-06)

Skills

AI Engineer - Agentic SystemsRAG PipelinesFull-Stack Developer

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