Arnab Mukherjee
Mumbai
Summary
AI/LLM Engineer with strong expertise in Large Language Models, multi-agent orchestration, and real-time AI systems. Experienced in building and deploying Generative AI solutions across healthcare, pharma, and finance. Proficient in developing voice assistants, document intelligence systems, and cloud-based pipelines using Python, LangChain, LangGraph, and vector databases. Focused on delivering scalable, low-latency AI applications aligned with business needs.
Overview
2
2
years of professional experience
1
1
Certification
Work History
AI/LLM Engineer
Atrina Technologies
02.2025 - Current
- - Built Jasmine Healthcare Voice Assistant using LangChain, Gemini LLMs, and Google STT/TTS for real-time doctor–patient conversations.
- - Designed LangGraph-based multi-agent orchestration for pharma insights (categorization, RAG, feedback loop) with Qdrant + MongoDB.
- - Developed ValenceAI Pharma Insights Platform to transform MR voice transcripts into structured insights integrated with CRM/WhatsApp.
- - Created LiveKit-powered MR Voice Agent (Python, Flask, YAML) integrating Deepgram STT, Gemini-2.5 LLM, Google TTS, and Silero VAD for natural multi-lingual dialogue.
- - Implemented Streamlit + Groq pipeline for bank statement analysis with transaction extraction, spending trends, and loan eligibility prediction.
- - Optimized real-time voice assistant latency (~3s) with streaming response handling, VAD, and ERP integration.
Trainee – Data Science & AI
Bhabha Atomic Research Center (BARC), Trombay
Trombay
01.2024 - 12.2024
- - Built Remote Requisition for Whole Body Monitoring (RRWBM) App in Angular for secure radiation safety compliance.
- - Developed NLP pipelines with LangChain + HuggingFace (GPT-2, GPT-3, Mistral-7B) for chatbot and Q&A applications.
- - Applied clustering (KMeans) and geostatistical ML (Kriging) to analyze radiation data and generate predictive insights.
Education
MCA -
NCRD’s Sterling Institute of Management
01.2024
BSc - Computer Science
Ramniranjan Jhunjhunwala College
01.2022
Skills
- Programming & ML: Python, TensorFlow, PyTorch, Keras, pandas, NumPy
- Generative AI & NLP: LangChain, LangGraph, HuggingFace, RAG, FAISS, Qdrant
- Databases: MongoDB, SQL
- Web & APIs: FastAPI, Flask, Angular, Streamlit, Docker
- Visualization: Tableau, Power BI, Matplotlib
- Other: MLOps fundamentals, OAuth
Certification
- - NPTEL: Data Analysis with Python (Elite, 71%)
- - NPTEL: Data Science for Engineers
- - Udemy: Machine Learning Hands-on with Python
- - Udemy: GCP Google Cloud Professional
- - Udemy: REST API with Flask & Python
- - Udemy: SQL & DBMS
Timeline
AI/LLM Engineer
Atrina Technologies
02.2025 - Current
Trainee – Data Science & AI
Bhabha Atomic Research Center (BARC), Trombay
01.2024 - 12.2024
BSc - Computer Science
Ramniranjan Jhunjhunwala College
MCA -
NCRD’s Sterling Institute of Management