Hi, I'm

Santu Hazra

AI Technical Lead, Generative AI Engineer, Agentic AI Architect, RAG Specialist, Machine Learning Engineer

About Me

Santu Hazra, AI Technical Lead specializing in Generative AI and Agentic AI

Technical Lead - Artificial Intelligence

I’m an AI Technical Lead with 11+ years of experience building and productionizing enterprise solutions across Generative AI, Agentic AI, RAG, NLP, Computer Vision, and Speech AI. Based in India, I build enterprise AI products for global teams and markets. Currently at JPMorganChase, I lead AI initiatives within CCB’s Marketing Automation Platform (MAP), building intelligent systems for marketing research, analytics, and automation.

I specialize in production-grade LLM and multi-agent systems using LangGraph, semantic/vector search, knowledge graphs, and AWS. My work includes AI platforms serving 1,000+ users across 2,000+ reports, NL-to-SQL solutions spanning 100+ enterprise tables, and multi-agent automation targeting an 80–90% reduction in marketing campaign cycle time.

Name: Santu Hazra
Birthday: 8 March 1992
Degree: B.Tech
Experience: 11+ Years

Experience

My Experience

Technical Lead - Artificial Intelligence

JPMorganChase | June 2025 - Present

  • InsightsAI – Agentic AI & RAG: Enabled 1,000+ users to search and generate insights across 2,000+ marketing reports by building an Agentic AI/RAG platform using LLMs, AWS OpenSearch, and ECS.
  • Enterprise Knowledge Pipeline: Helped replace a ~$50M external research solution by implementing a RAG pipeline with automated daily ingestion from 5 vendors using AWS Lambda, EventBridge, OpenSearch, and ECS.
  • MetaCortex – NL-to-SQL: Enabled natural-language analytics across 100+ enterprise tables by building a LangGraph-based NL-to-SQL agent with Graph DB schema discovery and automated insight generation.
  • Production AI Analytics: Productionized MetaCortex on AWS, enabling 50+ users to conversationally query complex marketing data and generate actionable insights.
  • MAP AI Automation: Leading a multi-agent AI platform targeting an 80–90% reduction in campaign cycle time by automating end-to-end marketing workflows.
  • Multi-Agent Architecture: Designed an orchestrator and specialized agent architecture for 200+ marketers covering requirements, audiences, creatives, journeys, and campaign performance.
Senior Software Engineer - AI/ML

Machani Robotics | July 2024 - May 2025

  • Multilingual Speech Recognition: Developed a real-time speech-to-text pipeline using GStreamer and Whisper CPP, supporting 5 languages for multilingual human-robot interactions.
  • Whisper Fine-Tuning: Fine-tuned Whisper Base using 40+ hours of Common Voice and LibriSpeech datasets, reducing Word Error Rate by 15%.
  • LLM Fine-Tuning: Fine-tuned Phi-3 (3B) using 2,000+ domain-specific Q&A pairs generated with GPT-4 to improve contextual conversations.
  • Retrieval-Augmented Generation: Designed a RAG framework combining LLMs with face and voice context for personalized real-time conversations.
SDE-I - AI Engineer

Machani Robotics | February 2021 - June 2024

  • Face Recognition: Built an ArcFace-based recognition pipeline achieving 92% accuracy, optimized with DeepStream and ONNX for NVIDIA AGX Jetson.
  • Vector Search: Developed FAISS and Milvus-based vector search for real-time face and speaker identity verification.
  • Text-to-Speech: Integrated TTS systems supporting emotion and voice cloning, improving voice clarity and contextual relevance by 20%.
  • Gesture Generation: Developed an LLM-driven gesture generation system, improving humanoid body-language and expression relevance by 30%.
  • Edge AI: Optimized ONNX models and GStreamer pipelines, reducing inference latency by 20% on NVIDIA Jetson hardware.
Deep Learning and AI Instructor (Part Time)

AnalytiixLab | April 2022 - Present

  • Trained 150+ students across 8 batches in Deep Learning and Artificial Intelligence.
  • Conducted corporate AI training programs for Tredence Inc. and Samsung.
Associate Data Scientist

Cognizant Technology Solutions | April 2015 - January 2021

  • Predictive Analytics: Developed churn prediction and lead-scoring models, improving customer retention and acquisition efficiency by 15–20%.
  • NLP: Performed sentiment analysis across 10,000+ customer reviews to generate actionable product and marketing insights.
  • Computer Vision: Built driver-behavior classification models using dashcam imagery, reducing incident detection time by 25%.

Education

My Education

B.Tech In ECE

West Bengal University of technology | August 2010 - July 2014

Higher Secondary

West Bengal Board of Higher Secondary Education | August 2007 - July 2009

Secondary

West Bengal Board of Secondary Education | July 2007

Certifications

My Skills

Generative AI & LLM Engineering
95%
Agentic AI & Multi-Agent Systems
95%
RAG & Semantic Search
95%
LangGraph & AI Orchestration
90%
Knowledge Graphs & NL-to-SQL
90%
AI Solution Architecture
95%
Python & Applied Machine Learning
95%
AWS & Production AI
90%
NLP & Speech AI
90%
Computer Vision & Edge AI
90%
MLOps, ONNX & AI Deployment
85%
Technical Leadership & Mentoring
95%

My Portfolio

Interests

Mountaineering and trekking Skiing Swimming Surfing

Contact Me