shrimanta = {
"role" : "Consultant | Data Scientist / AI Engineer | GenAI Lead @ KPMG India",
"location" : "Kolkata / Bangalore, India",
"expertise" : ["GenAI Platforms", "LLM Pipelines", "Multi-Agent Systems",
"RAG", "Prompt Engineering", "MLOps / LLMOps"],
"cloud" : ["Azure OpenAI", "AWS Bedrock", "GCP Vertex AI"],
"awards" : "3x KPMG Award Winner ๐ (Super Team + Super Employee KI)",
"research" : ["Springer-Nature", "IET Digital Library"],
"experience" : "3+ years in production AI/ML",
"currently" : "Building multi-agent agentic workflows with LangGraph",
}Specialisations: Prompt Engineering ยท RAG ยท Multi-Agent Systems ยท Fine-tuning (LoRA / DreamBooth) ยท Agentic AI ยท LLMOps ยท Model Evaluation ยท Embedding Models ยท Vector Databases ยท NLP ยท Time Series Forecasting
Services: Azure AI Search ยท AWS Bedrock ยท SageMaker ยท Vertex AI ยท Azure OpenAI ยท AWS Lambda ยท Step Functions ยท CI/CD ยท MLOps
| ๐ Award / Recognition | Details |
|---|---|
| ๐ฅ 3x KPMG Award Winner | Super Team Award + Super Employee KI Award |
| ๐ IBM Quantum โ $2,500 Scholarship | The Coding School |
| ๐ BuddyforStudy TOP 50 / 5,000 | L'Orรฉal India |
| ๐ฌ DST-JBNSTS Inspire Scholar | Govt. of India |
| ๐ค Amazon ML Summer School 2023 | Selected participant |
| โ๏ธ University Chess Champion | Rank 1/98, SJU |
| ๐ Secretary | SigmaSquared Association BDA |
| Paper | Venue | Highlight |
|---|---|---|
| YOLOv7 Flood Recovery | Springer-Nature | mAP@0.50: 99.5% |
| Generative Fashion AI | ICCVIoT 2024, IET | Fine-tuned SDXL on ethnic art |
| Degree | Institution | Score |
|---|---|---|
| M.Sc. Big Data Analytics | St. Joseph's University, Bangalore (2021โ2023) | CGPA 8.5/10 ยท Rank 5/59 |
| B.Sc. (Hons) Economics | University of Calcutta โ Vivekananda College (2017โ2020) | CGPA 8.1/10 ยท Rank 3/50 |
- ๐ Teacher's College, Columbia University
- ๐๏ธ TTCSP, University of Pennsylvania
- ๐ฉ๐ช DS3 Summer School 2022 โ CIVICA & Hertie School, Berlin, Germany
- ๐ฎ๐ณ IIT Bombay Data Science Workshop
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"Building intelligent systems that bridge research and production โ one agent at a time."


