About
AI Engineer with 1+ years of expertise in agentic systems, multi-agent orchestration, and LLM-powered automation. Builds production-grade pipelines using LangChain, LangGraph, RAG, FastAPI, and OpenAI/Ollama — deployed across enterprise domains including ERP, document intelligence, and HR automation. Delivers measurable results: 70% faster query resolution, 50% higher task accuracy, and 40% reduction in manual intervention.
What I'm looking for
AI/ML Engineer with experience building production-grade Generative AI applications, multi-agent AI systems, RAG pipelines, LLM integrations, document intelligence solutions, and enterprise automation tools using Python, FastAPI, LangChain, LangGraph, Docker, and vector databases. Interested in remote opportunities involving Agentic AI, AI automation, NLP, LLM orchestration, AI backend engineering, MLOps, intelligent document processing, and scalable AI platforms. Open to AI Engineer, GenAI Engg
Experience
AI Engineer
Mar 2025 – Present
• Architected a multi-agent orchestration system using LangChain, LangGraph, and Ollama (Qwen) that dynamically routes user queries to specialized domain agents (HR, Finance, Support, Document Assistant) — achieving 70% faster query resolution and 50% higher task accuracy through adaptive intent routing and RAG-based context retrieval.
• Implemented role-based access control, conversation continuity across agent boundaries, and a FAISS-backed semantic retrieval layer; deployed on Contabo via FastAPI with PostgreSQL for state persistence.
• Built an AI-powered voice interview agent integrating Whisper (speech-to-text) and Pyannote (speaker diarization) to process live and recorded conversations — enabling automated candidate evaluation, dynamic follow-up question generation, and structured performance scoring from raw audio.
• Designed an end-to-end audio processing pipeline (FFmpeg → Whisper → Pyannote → LLM scoring) surfaced through a Streamlit interface, supporting both OpenAI and local Ollama inference backends.
• Developed a multimodal document analysis system combining PyTesseract OCR with LLM-based reasoning to classify unstructured documents (invoices, bank statements, receipts, visiting cards) and extract key fields into standardized JSON — integrated with SAP for downstream enterprise workflows.
• Deployed an ERP-integrated agentic chatbot using LangChain and OpenAI models that automates business workflows via live ERP API calls, reducing support response time and manual intervention by 40%.
• Delivered all systems as production-grade FastAPI services with structured JSON outputs, CI/CD-ready architecture, and full enterprise integration support.
LangChainFastAPIRAG
GoodBooks Technologies Pvt Ltd
Education
Nehru Institute of Engineering and Technology
Bachelor of Engineering · Electronics and Communication Engineering
2021 – 2025
Certifications
Cloud Computing using Microsoft Azure
Infosys Springboard
Mar 2026 – No expiry
Machine Learning Master Certification
RapidMiner
Jun 2024 – No expiry
IBM Watson Studio (Machine Learning)
IBM Certification course
Mar 2024 – No expiry
AWS Academy Machine Learning Foundation
AWS Academy
Mar 2024 – No expiry
AWS Academy Cloud Foundation
AWS Academy
Jan 2024 – No expiry
Skills
GitDockerPandasNumPyPySparkFAISSChromaPineconePostgreSQLFastAPIPythonSemantic SearchEmbeddingsFeature EngineeringLlamaIndexHugging Face TransformersPrompt EngineeringRAGLangGraphLangChain
Languages
English (Full professional proficiency)
