Niranjan Rathor
Open to work2 years experienceAI/ML Engineer
AI/ML Engineer experienced in Generative AI, Agentic AI, RAG, and machine learning applications.
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Skills & Technologies
46 skillsWork Experience
Associate Software Engineer
Firstsource Solutions Limited
- Built production-ready Agentic AI solutions using LangGraph, LangChain, MCP, Azure OpenAI GPT-4, and DSPy for healthcare, telecom, and finance workflows.
- Developed AI-powered email automation systems with intent classification, entity extraction, and template generation; deployed scalable services using AWS Lambda, ECR, SQS, SES/SNS, and monitoring pipelines.
- Engineered RAG-based pipelines with FAISS, Neo4j, Azure Vision API, and PyMuPDF, enabling intelligent document processing with 95%+ extraction accuracy.
- Designed scalable cloud-native AI services using Docker, MLflow, PostgreSQL, Azure Web Apps, CI/CD pipelines, and asynchronous REST APIs.
Projects
Telecom SLA Management System
- Built a multi-agent AI system using LangGraph, LangChain, and Docker, processing 1000+ monthly SLA requests with 99.9% uptime.
- Implemented RAG pipelines with FAISS and automated CI/CD workflows, reducing SLA validation time by 30%.
- Reduced SLA breach errors by 40% and improved decision-making time by 25% through scalable REST APIs and workflow automation.
Financial Document Automation
- Built an AI-powered financial document automation system using LangGraph, MCP, OCR, and Azure OpenAI, reducing manual processing time by 60%.
- Developed RAG-based pipelines with Azure Vision API, PyMuPDF, and PostgreSQL, achieving 95%+ document extraction accuracy.
- Deployed scalable REST APIs and async workflows using Docker, MLflow, and CI/CD pipelines, improving processing efficiency by 40%.
Customer Churn Prediction System
View Project- Built a customer churn prediction model using Python and scikit-learn with 82% accuracy.
- Trained and evaluated 8+ ML models including Random Forest, SVM, Logistic Regression, KNN, and Gradient Boosting.
- Reduced data preprocessing time by 35% through feature engineering and data analysis techniques.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
AI/ML Engineer with experience in Generative AI, Agentic AI, RAG, and machine learning applications. Skilled in building scalable AI workflows, REST APIs, and cloud-based solutions using AWS, Azure, LangChain, and LangGraph.
B.Tech in Computer Science, Minor in Artificial Intelligence & Machine Learning
SRM Institute of Science and Technology ( - 2024)