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Anurag Sajwan

@anuragsajwan

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AI Engineer at MPCC building fleet-monitoring assistants and AI call-analysis pipelines.

India

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At MPCC, I integrate vehicle-telemetry APIs with an AI fleet-monitoring assistant that analyzes GPS data, identifies operational exceptions, summarizes fleet status, and sends alerts. I also implemented automated laboratory report delivery through MIRA via WhatsApp.

At RIMSPL, I built an MCP-based monitoring system that automated auditing across 15 operational modules, reducing manual review effort by 95%. I also developed a ledger automation system with semantic search and an accountant approval workflow, reducing manual ledger-selection effort by 85%.

Earlier, as an AI/ML Engineer Intern at Cynoteck Technology Solutions, I prepared text data and compared models for classification tasks. My projects include a medical assistant using LangGraph and a RAG-based job search agent.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

MPCC

Sep 2026 - Present (1 month)

Integrated vehicle-telemetry REST APIs with an AI fleet-monitoring assistant to analyze GPS data, identify operational exceptions, generate fleet-status summaries, and send alerts. Implemented automated laboratory report delivery via WhatsApp and built an AI call-analysis pipeline using NVIDIA speech recognition and LLMs.

REST APIs AI Fleet Monitoring GPS Data Analysis Alerting WhatsApp Automation NVIDIA Riva Speech to Text LLM CSV Reporting

AI Agents & Applications Developer

RIMSPL

Jul 2025 - Jun 2026 (11 months)

Built and maintained AI infrastructure for an enterprise platform automating workflows across mining logistics and financial auditing. Architected an MCP-based agentic monitoring system reducing manual review effort by 95% and a hybrid AI-powered Ledger Automation System reducing manual ledger selection effort by 85%.

Python fastAPI MCP Agentic Systems PostgreSQL Pgvector Semantic Search LlamaIndex LlamaParse RAG Docker CI CD

AI/ML Engineer Intern

Cynoteck Technology Solutions

Mar 2025 - Jun 2025 (3 months)

Cleaned and prepared raw text data for machine learning models, applying feature engineering techniques including TF-IDF and word embeddings. Trained and compared ML models for text classification and gained hands-on exposure to BERT and HuggingFace Transformers.