Hi, I'm
Santu Hazra
About Me
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
Phone: +91 740-663-9000
Email: ec.santuh@gmail.com
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
- Wiley Data Scientist. Credential ID: CZN-CDS-BAN-210819004
- Extensive Vision AI program. from The School of AI
- Extensive Python AI program. from The School of AI
- Extensive NLP program. from The School of AI
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
Image Classification
View the ImageNet class IDs here.
Note: The AWS Lambda model can take approximately 60 seconds to start on the first request.
Facial Application
Pose Application
Interests