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Shashank Pandey

@shashankpandey5

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AI/ML Engineer at Red Orange Technologies, architecting an agent orchestration SDK for enterprise AI workflows.

India

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At Red Orange Technologies, I architected a Python and TypeScript agent orchestration SDK with workflows, guardrails, and agent-to-agent communication. I also developed Google ADK workflows for enterprise AI applications.

I built production RAG pipelines and semantic search workflows that turn unstructured enterprise information into structured outputs. I also contributed to a multi-tenant AI platform for document search, form extraction, and PDF workflows.

Previously, at Bridging Healthcare Technology, I built RAG pipelines for clinical documents and developed LLM-powered healthcare automation. At V.EDU’s Private Limited, I developed machine learning and NLP pipelines, predictive and recommendation models, and Power BI dashboards.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

Red Orange Technologies

Jan 2026 - Present (9 months)

Architected an agent orchestration SDK using Python and TypeScript, implementing agent workflows, intent detection, risk and trust layers, LLM reasoning, confidence scoring, guardrails, PII detection, agent-to-agent communication and OpenTelemetry-compatible tracing. Developed agentic AI workflows using Google Agent Development Kit (ADK) and contributed to a multi-tenant AI platform for document i

Python TypeScript Google ADK LangGraph Lang Chain RAG fastAPI Docker OpenTelemetry PII Detection Agentic AI Multi agent orchestration Semantic Search LLM Evaluation

Data Scientist

Bridging Healthcare Technology

Jul 2024 - Dec 2025 (1 year 5 months)

Built production RAG pipelines with LangChain for document intelligence, improving retrieval accuracy across large clinical document collections. Developed LLM-powered automation using GPT-4, LLaMA and Falcon for document-driven healthcare workflows and information processing.

Python Lang Chain RAG GPT 4 LLaMA Falcon OCR NLP fastAPI Docker

Data Scientist

V.EDU's Private Limited

Jan 2022 - Mar 2024 (2 years 2 months)

Developed end-to-end machine learning and NLP pipelines covering NER, sentiment analysis and topic modelling for large-scale unstructured data. Built predictive and recommendation models for campaign targeting, classification and ranking use cases.